2785 Airflow Jobs - Page 5

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. * Why PWC At PwC , you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . At PwC , we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Job Description & Summary: A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Responsibilities: • Designs, implements and maintains reliable and scalable data infrastructure • Writes, deploys and maintains software to build, integrate, manage, maintain , and quality-assure data •Develops, and delivers large-scale data ingestion, data processing, and data transformation projects on the Azure cloud • Mentors and shares knowledge with the team to provide design reviews, discussions and prototypes • Works with customers to deploy, manage, and audit standard processes for cloud products • Adheres to and advocates for software & data engineering standard processes ( e.g. Data Engineering pipelines, unit testing, monitoring, alerting, source control, code review & documentation) • Deploys secure and well-tested software that meets privacy and compliance requirements; develops, maintains and improves CI / CD pipeline • Service reliability and following site-reliability engineering standard processes: on-call rotations for services they maintain , responsible for defining and maintaining SLAs. Designs, builds, deploys and maintains infrastructure as code. Containerizes server deployments. • Part of a cross-disciplinary team working closely with other data engineers, Architects, software engineers, data scientists, data managers and business partners in a Scrum/Agile setup Mandatory skill sets: ‘Must have’ knowledge, skills and experiences Synapse, ADF, spark, SQL, pyspark , spark-SQL, Preferred skill sets: ‘Good to have’ knowledge, skills and experiences C osmos DB, Data modeling, Databricks, PowerBI , experience of having built analytics solution with SAP as data source for ingestion pipelines. Depth: Candidate should have in-depth hands-on experience w.r.t end to end solution designing in Azure data lake, ADF pipeline development and debugging, various file formats, Synapse and Databricks with excellent coding skills in PySpark and SQL with logic building capabilities. He/she should have sound knowledge of optimizing workloads. Years of experience required : 6 to 9 years relevant experience Education qualification: BE, B.Tech , ME, M,Tech , MBA, MCA (60% above ) Expected Joining: 3 weeks Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Master of Engineering, Bachelor of Engineering, Bachelor of Technology, Master of Business Administration Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Structured Query Language (SQL) Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Coaching and Feedback, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling {+ 32 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date Show more Show less

Company Description PSI is India’s largest venture studio in AI and Deep Tech, headquartered in New Delhi. We’re committed to building science-backed, tech-enabled ventures that address high-impact, emerging market opportunities. We operate at the intersection of innovation, research, and business execution, launching bold, founder-led companies from the ground up. We’re currently building one of our stealth ventures, a next-gen media-tech company that uses AI to supercharge storytelling, public engagement, and digital performance at scale. As part of the founding execution team, we are hiring a Program Manager – Technical who can lead the orchestration of our AI-powered campaign stack from tools to data pipelines to automation. Role Description This role is for a hands-on technical program manager with strong experience in data workflows, AI tools, and marketing automation . You will own the delivery of complex digital campaign infrastructure ensuring that AI-driven solutions are deployed reliably, tracking is accurate, platforms talk to each other, and every campaign runs with full technical clarity. You’ll work with creative, strategy, content, and media teams but your job is to make the stack work, scale, and evolve . Key Responsibilities Campaign Infrastructure Setup: Lead the tech setup of digital campaigns landing pages, event tracking, automation flows, attribution logic Tool Integration: Own the configuration and integration of marketing tools (CRM, email automation, ad tech, AI platforms, analytics) Data Pipeline Management: Ensure data flow across systems is clean, validated, and usable from ad platforms to CRMs to dashboards AI-Driven Marketing Execution: Coordinate the deployment of AI tools (e.g., audience segmentation, chatbot automation, content engines) within active campaigns Automation Workflows: Build and monitor automated campaigns using tools like Zapier, Make, HubSpot, or custom scripts Technical QA: Own quality assurance for all campaign tech — links, tags, load times, UTM structures, lead routing, error handling Cross-Team Collaboration: Work with analytics, strategy, content, and media buying teams to ensure campaigns have the technical foundation they need to succeed Troubleshooting & Debugging: Act as first-line tech responder when something breaks and proactively prevent it from happening again Skills & Qualifications 8+ years of experience in technical project management or campaign technology roles Proven experience in MarTech or AdTech environments — setting up, managing, and scaling digital campaign stacks Hands-on experience with tools like GA4, Tag Manager, HubSpot, Segment, Zapier, Airflow, Data Studio, Looker Familiarity with scripting and query languages: JavaScript, Python (basic), SQL Deep understanding of campaign-level data analytics , attribution modeling, and CRM-integrated funnels Experience working with AI-powered tools for automation, content generation, audience prediction, or personalization Comfort in working with APIs, webhooks, integrations, and marketing systems Bonus: Experience with low-code/no-code platforms and building internal utilities Why Join PSI Work on real, AI-first use cases in media-tech and public engagement Be the technical architect behind some of the most watched campaigns of this decade Access to India’s most advanced campaign tooling, internal AI stack, and creative intelligence networks Flat hierarchy, founder-led culture, and a team that genuinely values competence Show more Show less

About Nourma We're building the AI-powered finance operating system that transforms how companies manage their financial operations. Our Decision Intelligence platform combines LLMs, multi-agent systems, and real-time data integration to create an intelligent finance team The Role We're seeking an AI/ML Engineer with deep expertise in LangChain, LlamaIndex, PydanticAI, and modern Python frameworks to architect and build the core intelligence layer of Nourma. Key Responsibilities LLM Orchestration & RAG Development (LangChain/LlamaIndex/PydanticAI Focus) Architect complex LangChain pipelines for multi-agent financial workflows Build production RAG systems using LlamaIndex for financial document retrieval Implement agents with strong type safety and structured outputs Design and implement: Chain-of-thought reasoning for financial analysis Dynamic prompt routing based on query complexity Memory management for long-running financial conversations Tool integration for agents to access GL, bank feeds, and operational data Optimise token usage and response latency for real-time WhatsApp interactions API Development & Integration (FastAPI Focus) Build high-performance FastAPI services for: Agent-to-agent communication protocols WhatsApp webhook processing with sub-second response Real-time financial data APIs for frontend consumption Design GraphQL schemas for flexible financial data queries Implement WebSocket connections for live financial updates Create robust error handling and retry mechanisms for financial integrations Vector Database & Semantic Search (Chroma Focus) Design and optimise Chroma collections for: Financial document embeddings (loan agreements, invoices) Conversation history and context retrieval Business logic and rule storage Implement hybrid search combining vector similarity and metadata filtering Build embedding pipelines for various document types (PDFs, emails, chat logs) Infrastructure & Scalability Deploy and manage LLM applications. Implement Redis caching strategies for LLM responses and financial data Design microservices architecture for agent deployment Set up monitoring and observability for AI pipelines Technical Requirements Must Have - Core Technologies Expert-level proficiency in: LangChain : Custom chains, agents, tools, memory systems LlamaIndex : Document stores, indices, query engines PydanticAI : Agent frameworks, type-safe LLM interactions, structured outputs FastAPI : Async programming, dependency injection, middleware Strong experience with Python async/await patterns Production experience with Chroma or similar vector databases Proficiency with Redis for caching and session management Experience with data pipeline and storage tools (Kafka, Spark, Airflow) for building scalable systems Nice to Have Knowledge of PostgreSQL and BigQuery for analytical workloadsUnderstanding of financial data structures (journal entries, chart of accounts) Experience with financial APIs (QuickBooks, Xero, Plaid, banking APIs) Knowledge of data consistency requirements for financial systems GraphQL schema design and optimisation Experience with WhatsApp Business API Background in fintech or accounting software Tech Stack LLMs : GPT-4, Claude, open-source models ML/AI : LangChain, LlamaIndex, PydanticAI, PyTorch, Transformers Vector DB : Chroma Data : PostgreSQL, BigQuery, Apache Kafka, Spark, Airflow APIs : FastAPI, GraphQL Infrastructure : AWS/GCP, Kubernetes, Docker, Redis Monitoring : Prometheus, Grafana, OpenTelemetry What We Offer Work on cutting-edge problems combining LLMs with real-time financial data Build systems processing millions of financial transactions Direct impact on how thousands of companies manage finances Work directly with founders and shape technical direction  Ideal Candidate Profile You're excited about: Building production LangChain and PydanticAI applications at scale Creating high-performance APIs that power AI agents Designing scalable architectures for financial data processing Working with cutting-edge LLM technologies You've probably: Built production LangChain/LlamaIndex/PydanticAI applications serving 1000+ users Created FastAPI services handling high-throughput LLM requests Worked with vector databases in production environments Designed data processing pipelines for financial or similar domains Contributed to open-source AI/ML projects Show more Show less

About Oportun Oportun (Nasdaq: OPRT) is a mission-driven fintech that puts its 2.0 million members' financial goals within reach. With intelligent borrowing, savings, and budgeting capabilities, Oportun empowers members with the confidence to build a better financial future. Since inception, Oportun has provided more than $16.6 billion in responsible and affordable credit, saved its members more than $2.4 billion in interest and fees, and helped its members save an average of more than $1,800 annually. Oportun has been certified as a Community Development Financial Institution (CDFI) since 2009. WORKING AT OPORTUN Working at Oportun means enjoying a differentiated experience of being part of a team that fosters a diverse, equitable and inclusive culture where we all feel a sense of belonging and are encouraged to share our perspectives. This inclusive culture is directly connected to our organization's performance and ability to fulfill our mission of delivering affordable credit to those left out of the financial mainstream. We celebrate and nurture our inclusive culture through our employee resource groups. Engineering Business Unit Overview The charter for Engineering group at Oportun is to be the world-class engineering force behind our innovative products. The group plays a vital role in designing, developing, and maintaining cutting-edge software solutions that power our mission and advance) our business. We strike a balance between leveraging leading tools and developing in-house solutions to create member experiences that empower their financial independence. The talented engineers in this group are dedicated to delivering and maintaining performant, elegant, and intuitive systems to our business partners and retail members. Our platform combines service-oriented platform features with sophisticated user experience and is enabled through a best-in-class (and fun to use!) automated development infrastructure. We prove that FinTech is more fun, more challenging, and in our case, more rewarding as we build technology that changes our members’ lives. Engineering at Oportun is responsible for high quality and scalable technical execution to achieve business goals and product vision. They ensure business continuity to members by effectively managing systems and services - overseeing technical architectures and system health. In addition, they are responsible for identifying and executing on the technical roadmap that enables product vision as well as fosters member & business growth in a scalable and efficient manner. The Enterprise Data and Technology (EDT) pillar within the Engineering Business Unit focusses on enabling wide use of corporate data assets whilst ensuring quality, availability and security across the data landscape. Position Overview As a Senior Data Engineer at Oportun, you will be a key member of our EDT team, responsible for designing, developing, and maintaining sophisticated software / data platforms in achieving the charter of the engineering group. Your mastery of a technical domain enables you to take up business problems and solve them with a technical solution. With your depth of expertise and leadership abilities, you will actively contribute to architectural decisions, mentor junior engineers, and collaborate closely with cross-functional teams to deliver high-quality, scalable software solutions that advance our impact in the market. This is a role where you will have the opportunity to take up responsibility in leading the technology effort – from technical requirements gathering to final successful delivery of the product - for large initiatives (cross functional and multi-month long projects). Responsibilities Data Architecture and Design: Lead the design and implementation of scalable, efficient, and robust data architectures to meet business needs and analytical requirements. Collaborate with stakeholders to understand data requirements, build subject matter expertise and define optimal data models and structures. Data Pipeline Development and Optimization: Design and develop data pipelines, ETL processes, and data integration solutions for ingesting, processing, and transforming large volumes of structured and unstructured data. Optimize data pipelines for performance, reliability, and scalability. Database Management and Optimization: Oversee the management and maintenance of databases, data warehouses, and data lakes to ensure high performance, data integrity, and security. Implement and manage ETL processes for efficient data loading and retrieval. Data Quality and Governance: Establish and enforce data quality standards, validation rules, and data governance practices to ensure data accuracy, consistency, and compliance with regulations. Drive initiatives to improve data quality and documentation of data assets. Mentorship and Leadership: Provide technical leadership and mentorship to junior team members, assisting in their skill development and growth. Lead and participate in code reviews, ensuring best practices and high-quality code. Collaboration and Stakeholder Management: Collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand their data needs and deliver solutions that meet those needs. Communicate effectively with non-technical stakeholders to translate technical concepts into actionable insights and business value. Performance Monitoring and Optimization: Implement monitoring systems and practices to track data pipeline performance, identify bottlenecks, and optimize for improved efficiency and scalability. Common Software Engineering Requirements You actively contribute to the end-to-end delivery of complex software applications, ensuring adherence to best practices and high overall quality standards. You have a strong understanding of a business or system domain with sufficient knowledge & expertise around the appropriate metrics and trends. You collaborate closely with product managers, designers, and fellow engineers to understand business needs and translate them into effective software solutions. You provide technical leadership and expertise, guiding the team in making sound architectural decisions and solving challenging technical problems. Your solutions anticipate scale, reliability, monitoring, integration, and extensibility. You conduct code reviews and provide constructive feedback to ensure code quality, performance, and maintainability. You mentor and coach junior engineers, fostering a culture of continuous learning, growth, and technical excellence within the team. You play a significant role in the ongoing evolution and refinement of current tools and applications used by the team, and drive adoption of new practices within your team. You take ownership of (customer) issues, including initial troubleshooting, identification of root cause and issue escalation or resolution, while maintaining the overall reliability and performance of our systems. You set the benchmark for responsiveness and ownership and overall accountability of engineering systems. You independently drive and lead multiple features, contribute to (a) large project(s) and lead smaller projects. You can orchestrate work that spans multiples engineers within your team and keep all relevant stakeholders informed. You support your lead/EM about your work and that of the team, that they need to share with the stakeholders, including escalation of issues Requirements Bachelor's or Master's degree in Computer Science, Data Science, or a related field. 5+ years of experience in data engineering, with a focus on data architecture, ETL, and database management. Proficiency in programming languages like Python/Pyspark and Java /Scala Expertise in big data technologies such as Hadoop, Spark, Kafka, etc. In-depth knowledge of SQL and experience with various database technologies (e.g., PostgreSQL, MySQL, NoSQL databases). Experience and expertise in building complex end-to-end data pipelines. Experience with orchestration and designing job schedules using the CICD tools like Jenkins and Airflow. Ability to work in an Agile environment (Scrum, Lean, Kanban, etc) Ability to mentor junior team members. Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and their data services (e.g., AWS Redshift, S3, Azure SQL Data Warehouse). Strong leadership, problem-solving, and decision-making skills. Excellent communication and collaboration abilities. We are proud to be an Equal Opportunity Employer and consider all qualified applicants for employment opportunities without regard to race, age, color, religion, gender, national origin, disability, sexual orientation, veteran status or any other category protected by the laws or regulations in the locations where we operate. California applicants can find a copy of Oportun's CCPA Notice here: https://oportun.com/privacy/california-privacy-notice/. We will never request personal identifiable information (bank, credit card, etc.) before you are hired. We do not charge you for pre-employment fees such as background checks, training, or equipment. If you think you have been a victim of fraud by someone posing as us, please report your experience to the FBI’s Internet Crime Complaint Center (IC3). Show more Show less

About the Role: Grade Level (for internal use): 11 S&P Global Market Intelligence The Role: Lead Software Engineer The Team: The Market Intelligence Industry Data Solutions business line provides data technology and services supporting acquisition, ingestion, content management, mastering and distribution to power our Financial Institution Group business and customer needs. Focus on platform scale to support business by following a common data lifecycle that accelerates business value. We provide essential intelligence for Financial Services, Real Estate and Insurance industries The Impact: The FIG Data Engineering team will be responsible for implementing & maintaining services and/or tools to support existing feed systems which allows users to consume FIG datasets and make FIG data available to a data fabric for wider consumption and processing within the company. What’s in it for you: Ability to work with global stakeholders and working on latest tools and technologies. Responsibilities: Build new data acquisition and transformation pipelines using big data and cloud technologies. Work with the broader technology team, including information architecture and data fabric teams to align pipelines with the lodestone initiative. What We’re Looking For: Bachelor’s in computer science or equivalent with at least 8+ years of professional software work experience Experience with Big Data platforms such as Apache Spark, Apache Airflow, Google Cloud Platform, Apache Hadoop. Deep understanding of REST, good API design, and OOP principles Experience with object-oriented/object function scripting languages : Python , C#, Scala, etc. Good working knowledge of relational SQL and NoSQL databases Experience in maintaining and developing software in production utilizing cloud-based tooling ( AWS, Docker & Kubernetes, Okta) Strong collaboration and teamwork skills with excellent written and verbal communications skills Self-starter and motivated with ability to work in a fast-paced software development environment Agile experience highly desirable Experience in Snowflake, Databricks will be a big plus . Return to Work Have you taken time out for caring responsibilities and are now looking to return to work? As part of our Return-to-Work initiative (link to career site page when available), we are encouraging enthusiastic and talented returners to apply and will actively support your return to the workplace. About S&P Global Market Intelligence At S&P Global Market Intelligence, a division of S&P Global we understand the importance of accurate, deep and insightful information. Our team of experts delivers unrivaled insights and leading data and technology solutions, partnering with customers to expand their perspective, operate with confidence, and make decisions with conviction. For more information, visit www.spglobal.com/marketintelligence . What’s In It For You? Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. ----------------------------------------------------------- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ----------------------------------------------------------- 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning) Job ID: 316183 Posted On: 2025-06-15 Location: Hyderabad, Telangana, India

Hiring: Software Support Engineer (ETL & Healthcare Data) Location: Hyderabad Experience: 5+ Years | Full-Time We are looking for a highly skilled Software Support Engineer with strong experience in supporting and troubleshooting ETL pipelines, production issues, and healthcare data systems. If you're passionate about optimizing systems, solving technical challenges, and collaborating with cross-functional teams — we’d love to connect! Key Responsibilities: Provide L2/L3 support for ETL jobs and data pipelines Troubleshoot production issues and perform root cause analysis Automate and monitor workflows using Python, Shell scripting, Talend, and Airflow Collaborate with developers, analysts, and QA for issue resolution Document processes, job flows, and deployment steps Support healthcare data transactions (EDI 834, 837, 999, etc.) Tech Stack & Skills: Python, C#, Shell scripting SQL & NoSQL (MongoDB) Airflow, Talend Studio, Redix Azure Service Bus / Kafka CI/CD (Azure Pipelines), Git/Bitbucket JIRA, Agile methodology Nice to Have: Knowledge of Facets, HealthRules Payor Experience with cloud environments Exposure to monitoring tools Job Type: Full-time Shift: Evening shift Work Days: Monday to Friday Work Location: In person

Overview: Working at Atlassian Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company. Responsibilities: Team: Core Engineering Reliability Team Collaborate with engineering and TPM leaders, developers, and process engineers to create data solutions that extract actionable insights from incident and post-incident management data, supporting objectives of incident prevention and reducing detection, mitigation, and communication times. Work with diverse stakeholders to understand their needs and design data models, acquisition processes, and applications that meet those requirements. Add new sources, implement business rules, and generate metrics to empower product analysts and data scientists. Serve as the data domain expert, mastering the details of our incident management infrastructure. Take full ownership of problems from ambiguous requirements through rapid iterations. Enhance data quality by leveraging and refining internal tools and frameworks to automatically detect issues. Cultivate strong relationships between teams that produce data and those that build insights. Qualifications: Minimum Qualifications / Your background: BS in Computer Science or equivalent experience with 8+ years as a Senior Data Engineer or similar role 10+ Years of progressive experience in building scalable datasets and reliable data engineering practices. Proficiency in Python, SQL, and data platforms like DataBricks Proficiency in relational databases and query authoring (SQL). Demonstrable expertise designing data models for optimal storage and retrieval to meet product and business requirements. Experience building and scaling experimentation practices, statistical methods, and tools in a large scale organization Excellence in building scalable data pipelines using Spark (SparkSQL) with Airflow scheduler/executor framework or similar scheduling tools. Expert experience working with AWS data services or similar Apache projects (Spark, Flink, Hive, and Kafka). Understanding of Data Engineering tools/frameworks and standards to improve the productivity and quality of output for Data Engineers across the team. Well versed in modern software development practices (Agile, TDD, CICD) Desirable Qualifications Demonstrated ability to design and operate data infrastructure that deliver high reliability for our customers. Familiarity working with datasets like Monitoring, Observability, Performance, etc.. Benefits & Perks Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit go.atlassian.com/perksandbenefits . About Atlassian At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together. We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines. To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them. To learn more about our culture and hiring process, visit go.atlassian.com/crh .

Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com. Job Description Job Description- GCP Cloud Architecture. Model Deployment Lifecycle Knowledge of creating Training & Serving Pipeline Familiar with any one of workflow: Kubeflow, Airflow, ML Flow, Argo etc" Strong in Python Adequate SQL skill Must have skill : Python, SQL, ML Engineer (Model Deployment/MLOPS), ML Pipeline-(Kubeflow, Airflow Flow, Argo etc,) Preferred Skill: Pytorch, TensorFlow, Exp in hiper scaler/Cloud Service, Deep learning framework, Reinvent your world.¿We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.

About Ethos Ethos was built to make it faster and easier to get life insurance for the next million families. Our approach blends industry expertise, technology, and the human touch to find you the right policy to protect your loved ones. We leverage deep technology and data science to streamline the life insurance process, making it more accessible and convenient. Using predictive analytics, we are able to transform a traditionally multi-week process into a modern digital experience for our users that can take just minutes! We’ve issued billions in coverage each month and eliminated the traditional barriers, ushering the industry into the modern age. Our full-stack technology platform is the backbone of family financial health. We make getting life insurance easier, faster and better for everyone. Our investors include General Catalyst, Sequoia Capital, Accel Partners, Google Ventures, SoftBank, and the investment vehicles of Jay-Z, Kevin Durant, Robert Downey Jr and others. This year, we were named on CB Insights' Global Insurtech 50 list and BuiltIn's Top 100 Midsize Companies in San Francisco. We are scaling quickly and looking for passionate people to protect the next million families! About The Role Ethos is seeking a Senior Data Analyst Engineer to join our Data Platform team. In this role, you will play a critical part in transforming raw data into actionable insights that drive business growth. If you have a passion for data analysis, data modelling and warehouse development, and are proficient in SQL, DBT & data modelling, we encourage you to apply. Duties And Responsibilities Build and maintain data marts to support various business functions Work closely with cross functional stakeholders to identify and build a roadmap for new data model development. Collaborate with application and product teams to understand product and application behavior to arrive at the appropriate data model. Build and maintain data marts to support various business functions and carrier partners. Optimize queries, and refine data structures to ensure efficient data retrieval and reporting. Ensure data accuracy, consistency, and integrity by implementing data validation and data cleansing processes. Perform data quality checks and troubleshoot any issues. Set standards for data model development, establish and evangelize best practices within the team and organization wide. Maintain detailed documentation of data models for reference and knowledge sharing. As a senior member of the team, you will also be responsible for the overall technical excellence of the data marts, lead large projects working with multiple stakeholders and mentor the team on technical aspects. Qualifications And Skills 6+ years of proven experience in Data Analytics, Data Engineering or a related role Proven experience in data analytics, data engineering, or a related role Strong proficiency in SQL and DBT for data model development is a must Experience with data integration tools and platforms, including Airflow Familiarity with Mode or similar data visualization tools Knowledge of tools like Segment, Amplitude & Iterable is a plus Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. At Ethos we are dedicated to building a diverse, inclusive and authentic workplace. We are an equal opportunity employer who values diversity and inclusion and look for applicants who understand, embrace and thrive in a multicultural world. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Pursuant to the SF Fair Chance Ordinance, we will consider employment for qualified applicants with arrests and conviction records. To learn more about what information we collect and how it may be used, please refer to our California Candidate Privacy Notice. Show more Show less

Morgan Stanley Senior Platform Engineer - Vice President - Software Production Management & Reliability Engineering Profile Description We’re seeking someone to join our team as (Vice President) Systems Engineer’s role for stability, integrity, and efficient operation of the in-house and 3rd party systems that support core organizational functions. This is achieved by monitoring, maintaining, supporting, and optimizing all networked software and associated operating systems. The Systems Engineer will apply proven communication, analytical, and problem-solving skills to help identify, communicate, and resolve issues in order to maximize the benefit of IT systems investments. This individual will also mentor and provide guidance to the Systems Engineer staff. Investment_Management In the Investment Management division, we deliver active investment strategies across public and private markets and custom solutions to institutional and individual investors. This is Vice President position that oversees the production environment, ensuring the operational reliability of deployed software, and implements strategies to optimize performance and minimize downtime. Morgan Stanley is an industry leader in financial services, known for mobilizing capital to help governments, corporations, institutions, and individuals around the world achieve their financial goals. At Morgan Stanley India, we support the Firm’s global businesses, with critical presence across Institutional Securities, Wealth Management, and Investment management, as well as in the Firm’s infrastructure functions of Technology, Operations, Finance, Risk Management, Legal and Corporate & Enterprise Services. Morgan Stanley has been rooted in India since 1993, with campuses in both Mumbai and Bengaluru. We empower our multi-faceted and talented teams to advance their careers and make a global impact on the business. For those who show passion and grit in their work, there’s ample opportunity to move across the businesses for those who show passion and grit in their work. Interested in joining a team that’s eager to create, innovate and make an impact on the world? Read on… What You’ll Do In The Role Designing: Responsible for designing and implementing the overall IM Technology platform architecture, ensuring seamless operation and alignment with the organization’s goals, scalability requirements, and industry best practices. Technology Evaluation: Drive innovation by evaluating and selecting appropriate technologies, frameworks, and tools which will maximize the value produced by the IM Technology platform. Guidance and Leadership: Providing technical guidance and leadership to IM Technology team developers throughout the development lifecycle. Liaise between IM Technology groups and End User Technology to triage environmental issues and resolve before they reach production. Scalability and Performance: Ensuring that the platform architecture can scale efficiently and meet performance requirements. Security: Implementing security best practices for infrastructure, such as network security, access control, and data encryption and also ensuring that the platform architecture is resilient to security threats. Working closely with the Security Architecture team to keep our infrastructure aligned with frequent changes to firm-level security policies such as network security, access control and data encryption. Integration: Overseeing the integration of various components and systems within the platform. Also act as a conduit for secure data transfer between critical platform applications and third-party data providers or receivers. Collaborate: Collaborating with product owners, business stakeholders and ITSO’s to ensure the system's architecture supports the organization's goals and objectives. Testing: Writing and executing tests to ensure the reliability, scalability, and performance of the platform. Deployment: Managing the deployment process and ensuring smooth deployments of platform updates and releases. Monitoring and Maintenance: Monitoring the platform for performance issues, bugs, and security vulnerabilities, and addressing them promptly. This includes performing routine preventative maintenance such as system patching, updates and upgrades. Automation: Implementing automation tools and processes to streamline development, deployment, and maintenance tasks. Documentation: Creating and maintaining technical documentation for the platform components and processes. Infrastructure as Code: Managing infrastructure using code-based tools like Terraform or CloudFormation in order to ensure simplicity of the platform, minimization of errors and adherence to Change Management principles. Containerization and Orchestration: Implementing containerization using Docker and container orchestration using Kubernetes or similar tools. Monitoring and Logging: Setting up monitoring and logging solutions to track the performance and health of the platform. This involves ensuring that any logs generated throughout the platform are tracked in firm-approved systems and are secured according to their level of confidentiality. What You’ll Bring To The Role At least 8 years' relevant experience would generally be expected to find the skills required for this role Good working experience in at least some of the below technologies: Middleware (i.e. Tomcat, WebSphere, WebLogic) App containerization (i.e. Kubernetes, Redhat OpenShift) Automation (i.e. UiPath RPA, Microsoft Power, Airflow) Message Queue (i.e. Kafka, MQ) ETL (i.e. Glide) Analytics (i.e. Dataiku) Data Management (i.e Snowflake, Data Bricks) Should have sound knowledge on IT Application architecture, Design methodologies across multiple platforms. Good understanding of applications capacity management Good experience on applications resilience planning Good working knowledge on SQL and scripting. Sound knowledge on multiple operating systems. Flexibility on off-hours and weekends availability. Excellent understanding of the organization’s goals and objectives. Good project management skills. Excellent written, oral, and interpersonal communication skills. Proven analytical and creative problem-solving abilities. Able to prioritize and execute tasks in a high-pressure environment. Ability to work in a team-oriented, collaborative environment. What You Can Expect From Morgan Stanley We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work. Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents. 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About the role: Want to be on a team that full of results-driven individuals who are constantly seeking to innovate? Want to make an impact? At SailPoint, our Data Platform team does just that. SailPoint is seeking a Senior Staff Data/Software Engineer to help build robust data ingestion and processing system to power our data platform. This role is a critical bridge between teams. It requires excellent organization and communication as the coordinator of work across multiple engineers and projects. We are looking for well-rounded engineers who are passionate about building and delivering reliable, scalable data pipelines. This is a unique opportunity to build something from scratch but have the backing of an organization that has the muscle to take it to market quickly, with a very satisfied customer base. Responsibilities : Spearhead the design and implementation of ELT processes, especially focused on extracting data from and loading data into various endpoints, including RDBMS, NoSQL databases and data-warehouses. Develop and maintain scalable data pipelines for both stream and batch processing leveraging JVM based languages and frameworks. Collaborate with cross-functional teams to understand diverse data sources and environment contexts, ensuring seamless integration into our data ecosystem. Utilize AWS service-stack wherever possible to implement lean design solutions for data storage, data integration and data streaming problems. Develop and maintain workflow orchestration using tools like Apache Airflow. Stay abreast of emerging technologies in the data engineering space, proactively incorporating them into our ETL processes. Organize work from multiple Data Platform teams and customers with other Data Engineers Communicate status, progress and blockers of active projects to Data Platform leaders Thrive in an environment with ambiguity, demonstrating adaptability and problem-solving skills. Qualifications : BS in computer science or a related field. 10+ years of experience in data engineering or related field. Demonstrated system-design experience orchestrating ELT processes targeting data Excellent communication skills Demonstrated ability to internalize business needs and drive execution from a small team Excellent organization of work tasks and status of new and in flight tasks including impact analysis of new work Strong understanding of python Good understanding of Java Strong understanding of SQL and data modeling Familiarity with airflow Hands-on experience with at least one streaming or batch processing framework, such as Flink or Spark. Hands-on experience with containerization platforms such as Docker and container orchestration tools like Kubernetes. Proficiency in AWS service stack. Experience with DBT, Kafka, Jenkins and Snowflake. Experience leveraging tools such as Kustomize, Helm and Terraform for implementing infrastructure as code. Strong interest in staying ahead of new technologies in the data engineering space. Comfortable working in ambiguous team-situations, showcasing adaptability and drive in solving novel problems in the data-engineering space. Preferred Experience with AWS Experience with Continuous Delivery Experience instrumenting code for gathering production performance metrics Experience in working with a Data Catalog tool ( Ex: Atlan ) What success looks like in the role Within the first 30 days you will: Onboard into your new role, get familiar with our product offering and technology, proactively meet peers and stakeholders, set up your test and development environment. Seek to deeply understand business problems or common engineering challenges Learn the skills and abilities of your teammates and align expertise with available work By 90 days: Proactively collaborate on, discuss, debate and refine ideas, problem statements, and software designs with different (sometimes many) stakeholders, architects and members of your team. Increasing team velocity and showing contribution to improving maturation and delivery of Data Platform vision. By 6 months: Collaborates with Product Management and Engineering Lead to estimate and deliver small to medium complexity features more independently. Occasionally serve as a debugging and implementation expert during escalations of systems issues that have evaded the ability of less experienced engineers to solve in a timely manner. Share support of critical team systems by participating in calls with customers, learning the characteristics of currently running systems, and participating in improvements. Engaging with team members. Providing them with challenging work and building cross skill expertise Planning project support and execution with peers and Data Platform leaders SailPoint is an equal opportunity employer and we welcome all qualified candidates to apply to join our team. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other category protected by applicable law. Alternative methods of applying for employment are available to individuals unable to submit an application through this site because of a disability. Contact hr@sailpoint.com or mail to 11120 Four Points Dr, Suite 100, Austin, TX 78726, to discuss reasonable accommodations. Show more Show less

Job Description If you are a software engineering leader ready to take the reins and drive impact, we’ve got an opportunity just for you. As a Director of Software Engineering at JPMorgan Chase within Corporate Technology, you will lead a technical area and drive impact within teams, technologies, and projects across departments. Utilize your in-depth knowledge of software, applications, technical processes, and product management to drive multiple complex projects and initiatives, while serving as a primary decision maker for your teams and be a driver of innovation and solution delivery. Job Responsibilities Lead the transformation of firm’s Interest Rate Risk platform as an integrated risk data capture, aggregation, calculation, and reporting platform, leveraging the firm’s risk models for measuring interest rate risk. Develop and uphold data architecture standards, including interfaces, reliability, and governance frameworks, while enhancing the platform’s data sourcing, orchestration, and reporting capabilities. Evaluate innovative technologies that will drive the success of the "Next Generation" Interest Rate Risk Platform. Work closely with stakeholders, technology leads, Treasury, and CIO teams to align technology solutions with business needs. Oversee strategies to ensure data accuracy, security, and accessibility for Treasury and CIO teams by implementing data governance and security measures to maintain data quality and compliance. Ensure the architecture boosts performance, scalability, and reliability of data processes. Collaborate with domain teams to guide data product development best practices. Leverage AWS, Databricks, and other approved technologies for scalable and secure data solutions. Design integration strategies for seamless data flow between Treasury, CIO systems, and enterprise applications. Lead the development of architectural designs and scalable coding frameworks while optimizing the performance and scalability of data products and infrastructure. Provide expert advice on strategic technology choices, aligning with business goals and driving enhancements to achieve optimal target state architecture. Utilize technological solutions to engage in the investigation and remediation of critical issues across the CIO organization. Develop multi-year roadmaps aligned with business and architecture strategies. Serve as a subject matter expert, advising on complex technical issues and solutions. Champion high-quality software architecture, design, and development practices. Required Qualifications, Capabilities, And Skills Formal training or certification in software engineering concepts and 10+ years applied experience. In addition, 5+ years of experience leading technologists to manage, anticipate and solve complex technical items within your domain of expertise. Hands-on experience in system design, application development, testing, and operational stability. Deep knowledge of data architecture, best practices, and industry trends. Expertise in one or more programming languages - Python and Java. Expert-level experience with AWS or other public cloud providers, as well as Databricks, Snowflake, Airflow, databases, and analytics. Proven influencer with a track record of successfully driving change across organizational boundaries. Strong communication skills for effectively engaging with senior leaders and executives. Advanced experience in leading technologists to solve complex technical challenges Preferred Qualifications, Capabilities And Skills Experience in working on BI and AI/ML solutions with business stakeholders and data scientists is a plus. Knowledge of Finance and Treasury products is advantageous. ABOUT US JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success. Show more Show less

It's fun to work in a company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business. Design and develop data-ingestion frameworks, real-time processing solutions, and data processing and transformation frameworks leveraging open source tools and data processing frameworks. Hands-on on technologies such as Kafka, Apache Spark (SQL, Scala, Java), Python, Hadoop Platform, Hive, Presto, Druid, airflow Deep understanding of BigQuery architecture, best practices, and performance optimization. Proficiency in LookML for building data models and metrics. Experience with DataProc for running Hadoop/ Spark jobs on GCP. Knowledge of configuring and optimizing DataProc clusters. Offer system support as part of a support rotation with other team members. Operationalize open source data-analytic tools for enterprise use. Ensure data governance policies are followed by implementing or validating data lineage, quality checks, and data classification. Understand and follow the company development lifecycle to develop, deploy and deliver the solutions. Minimum Qualifications Bachelor's degree in Computer Science, CIS, or related field Experience on project(s) involving the implementation of software development life cycles (SDLC) GCP DATA ENGINEER If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us! Not the right fit? Let us know you're interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest! Show more Show less

We deliver the world’s most complex projects Work as part of a collaborative and inclusive team Enjoy a varied & challenging role Building on our past. Ready for the future Worley is a global professional services company of energy, chemicals and resources experts headquartered in Australia. Right now, we’re bridging two worlds as we accelerate to more sustainable energy sources, while helping our customers provide the energy, chemicals and resources that society needs now. We partner with our customers to deliver projects and create value over the life of their portfolio of assets. We solve complex problems by finding integrated data-centric solutions from the first stages of consulting and engineering to installation and commissioning, to the last stages of decommissioning and remediation. Join us and help drive innovation and sustainability in our projects. The Role Develop and implement data pipelines for ingesting and collecting data from various sources into a centralized data platform. Develop and maintain ETL jobs using AWS Glue services to process and transform data at scale. Optimize and troubleshoot AWS Glue jobs for performance and reliability. Utilize Python and PySpark to efficiently handle large volumes of data during the ingestion process. Collaborate with data architects to design and implement data models that support business requirements. Create and maintain ETL processes using Airflow, Python and PySpark to move and transform data between different systems. Implement monitoring solutions to track data pipeline performance and proactively identify and address issues. Manage and optimize databases, both SQL and NoSQL, to support data storage and retrieval needs. Familiarity with Infrastructure as Code (IaC) tools like Terraform, AWS CDK and others. Proficiency in event-driven integrations, batch-based and API-led data integrations. Proficiency in CICD pipelines such as Azure DevOps, AWS pipelines or Github Actions. About You To be considered for this role it is envisaged you will possess the following attributes: Technical and Industry Experience: Independent Integration Developer with over 5+ years of experience in developing and delivering integration projects in an agile or waterfall-based project environment. Proficiency in Python, PySpark and SQL programming language for data manipulation and pipeline development Hands-on experience with AWS Glue, Airflow, Dynamo DB, Redshift, S3 buckets, Event-Grid, and other AWS services Experience implementing CI/CD pipelines, including data testing practices. Proficient in Swagger, JSON, XML, SOAP and REST based web service development Behaviors Required: Driven by our values and purpose in everything we do. Visible, active, hands on approach to help teams be successful. Strong proactive planning ability. Optimistic, energetic, problem solver, ability to see long term business outcomes. Collaborative, ability to listen, compromise to make progress. Stronger together mindset, with a focus on innovation & creation of tangible / realized value. Challenge status quo. Education – Qualifications, Accreditation, Training: Degree in Computer Science and/or related fields AWS Data Engineering certifications desirable Moving forward together We’re committed to building a diverse, inclusive and respectful workplace where everyone feels they belong, can bring themselves, and are heard. We provide equal employment opportunities to all qualified applicants and employees without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by law. We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation. And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology. Whatever your ambition, there’s a path for you here. And there’s no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change. Company Worley Primary Location IND-MM-Mumbai Job Digital Solutions Schedule Full-time Employment Type Employee Job Level Experienced Job Posting Jun 4, 2025 Unposting Date Jul 4, 2025 Reporting Manager Title Director Show more Show less

Overview Working at Atlassian Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company. Responsibilities Partner with Data Science, Product Manager, Analytics, and Business teams to review and gather the data/reporting/analytics requirements and build trusted and scalable data models, data extraction processes, and data applications to help answer complex questions. Design and implement data pipelines to ETL data from multiple sources into a central data warehouse. Design and implement real-time data processing pipelines using Apache Spark Streaming. Improve data quality by leveraging internal tools/frameworks to automatically detect and mitigate data quality issues. Develop and implement data governance procedures to ensure data security, privacy, and compliance. Implement new technologies to improve data processing and analysis. Coach and mentor junior data engineers to enhance their skills and foster a collaborative team environment. Qualifications A BE in Computer Science or equivalent with 8+ years of professional experience as a Data Engineer or in a similar role Experience building scalable data pipelines in Spark using Airflow scheduler/executor framework or similar scheduling tools. Experience with Databricks and its APIs. Experience with modern databases (Redshift, Dynamo DB, Mongo DB, Postgres or similar) and data lakes. Proficient in one or more programming languages such as Python/Scala and rock-solid SQL skills. Champion automated builds and deployments using CICD tools like Bitbucket, Git Experience working with large-scale, high-performance data processing systems (batch and streaming) Our perks & benefits Atlassian offers a variety of perks and benefits to support you, your family and to help you engage with your local community. Our offerings include health coverage, paid volunteer days, wellness resources, and so much more. Visit go.atlassian.com/perksandbenefits to learn more. About Atlassian At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together. We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines. To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them. To learn more about our culture and hiring process, visit go.atlassian.com/crh . Show more Show less

Company Description BEYOND SOFTWARES AND CONSULTANCY SERVICES Pvt. Ltd. (BSC Services) is committed to delivering innovative solutions to meet clients' evolving needs, particularly in the telecommunication industry. We provide a variety of software solutions for billing and customer management, network optimization, and data analytics. Our skilled team of software developers and telecom specialists collaborates closely with clients to understand their specific requirements and deliver high-quality, secure software solutions. We strive to build long-term relationships based on trust, transparency, and open communication, ensuring our clients stay competitive and grow in a dynamic market. Role Description We are looking for a Data Engineer with expertise in DBT and Airflow for a full-time remote position. The Data Engineer will be responsible for designing, developing, and managing data pipelines and ETL processes. Day-to-day tasks include data modeling, data warehousing, and implementing data analytics solutions. The role involves collaborating with cross-functional teams to ensure data integrity and optimize data workflows. Must Have Skills: 5 to 10 years IT Experience in data transformation in Amazon RedShift- Datawarehouse using Apache Airflow, Data Build Tool and Cosmos. Hands-on experience working in complex data warehouse implementations. Expert in Advance SQL. The Data Engineer will be responsible for designing, developing, testing and maintaining data pipelines using AWS RedShift, DBT, and Airflow. Experienced in Data Analytical skills. Minimum 5 years of Hands-on-Experience in Amazon RedShift Datawarehouse. Experience of dbt (Data Build Tool) for data transformation. Experience in developing, scheduling & monitoring workflow orchestration using Apache Airflow. Experienced in Astro & Cosmos library. Experience in construction of the DAG in Airflow. Experience of DevOps: BitBucket or Experience of Github /Gitlab Minimum 5 years of experience in Data Transformation projects . Development of data ingestion pipelines and robust ETL frameworks. Strong hands-on experience in analysing data on large datasets. Extensive experience in dimensional data modelling includes complex entity relationships and historical data entities. Implementation of data cleansing and data quality features in ETL pipelines. Implementation of data streaming solutions from different sources for data migration & transformation. · Extensive Data Engineering experience using Python. Experience in SQL and Performance Tuning. Hands on experience parsing responses generated by API's (REST/XML/JSON). Show more Show less

Overview Working at Atlassian Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company. Responsibilities Team: Core Engineering Reliability Team Collaborate with engineering and TPM leaders, developers, and process engineers to create data solutions that extract actionable insights from incident and post-incident management data, supporting objectives of incident prevention and reducing detection, mitigation, and communication times. Work with diverse stakeholders to understand their needs and design data models, acquisition processes, and applications that meet those requirements. Add new sources, implement business rules, and generate metrics to empower product analysts and data scientists. Serve as the data domain expert, mastering the details of our incident management infrastructure. Take full ownership of problems from ambiguous requirements through rapid iterations. Enhance data quality by leveraging and refining internal tools and frameworks to automatically detect issues. Cultivate strong relationships between teams that produce data and those that build insights. Qualifications Minimum Qualifications / Your background: BS in Computer Science or equivalent experience with 8+ years as a Senior Data Engineer or similar role 10+ Years of progressive experience in building scalable datasets and reliable data engineering practices. Proficiency in Python, SQL, and data platforms like DataBricks Proficiency in relational databases and query authoring (SQL). Demonstrable expertise designing data models for optimal storage and retrieval to meet product and business requirements. Experience building and scaling experimentation practices, statistical methods, and tools in a large scale organization Excellence in building scalable data pipelines using Spark (SparkSQL) with Airflow scheduler/executor framework or similar scheduling tools. Expert experience working with AWS data services or similar Apache projects (Spark, Flink, Hive, and Kafka). Understanding of Data Engineering tools/frameworks and standards to improve the productivity and quality of output for Data Engineers across the team. Well versed in modern software development practices (Agile, TDD, CICD) Desirable Qualifications Demonstrated ability to design and operate data infrastructure that deliver high reliability for our customers. Familiarity working with datasets like Monitoring, Observability, Performance, etc.. Benefits & Perks Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit go.atlassian.com/perksandbenefits . About Atlassian At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together. We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines. To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them. To learn more about our culture and hiring process, visit go.atlassian.com/crh . Show more Show less

Company Description ThreatXIntel is a startup cyber security company dedicated to protecting businesses and organizations from cyber threats. Our services include cloud security, web and mobile security testing, cloud security assessment, and DevSecOps. We provide customized, affordable solutions tailored to meet the specific needs of our clients, regardless of their size. Role Description We are seeking a freelance GCP Data Engineer with expertise in Scala , Apache Spark , Airflow , and experience with Automic and Laminar frameworks. The role focuses on designing and maintaining scalable data pipelines and workflow automation within the Google Cloud Platform ecosystem. Key Responsibilities Design, build, and optimize data pipelines using Scala and Apache Spark on Google Cloud Platform (GCP) Orchestrate ETL workflows using Apache Airflow Integrate and automate data processing using Automic job scheduling Utilize Laminar for reactive programming or stream processing within pipelines (if applicable) Collaborate with cross-functional teams to define data flows and transformations Ensure pipeline performance, scalability, and monitoring across environments Troubleshoot and resolve issues in batch and streaming data processes Required Skills Strong programming skills in Scala Hands-on experience with Apache Spark for distributed data processing Experience working with GCP data services (e.g., BigQuery, Cloud Storage, Dataflow preferred) Proficiency with Airflow for workflow orchestration Experience using Automic for job scheduling Familiarity with Laminar or similar frameworks for reactive or stream-based processing Good understanding of data engineering best practices and pipeline optimization Ability to work independently and communicate effectively with remote teams Show more Show less

About The Role Grade Level (for internal use): 11 S&P Global Market Intelligence The Role: Lead Software Engineer The Team: The Market Intelligence Industry Data Solutions business line provides data technology and services supporting acquisition, ingestion, content management, mastering and distribution to power our Financial Institution Group business and customer needs. Focus on platform scale to support business by following a common data lifecycle that accelerates business value. We provide essential intelligence for Financial Services, Real Estate and Insurance industries The Impact: The FIG Data Engineering team will be responsible for implementing & maintaining services and/or tools to support existing feed systems which allows users to consume FIG datasets and make FIG data available to a data fabric for wider consumption and processing within the company. What’s in it for you: Ability to work with global stakeholders and working on latest tools and technologies. Responsibilities Build new data acquisition and transformation pipelines using big data and cloud technologies. Work with the broader technology team, including information architecture and data fabric teams to align pipelines with the lodestone initiative. What We’re Looking For Bachelor’s in computer science or equivalent with at least 8+ years of professional software work experience Experience with Big Data platforms such as Apache Spark, Apache Airflow, Google Cloud Platform, Apache Hadoop. Deep understanding of REST, good API design, and OOP principles Experience with object-oriented/object function scripting languages: Python, C#, Scala, etc. Good working knowledge of relational SQL and NoSQL databases Experience in maintaining and developing software in production utilizing cloud-based tooling (AWS, Docker & Kubernetes, Okta) Strong collaboration and teamwork skills with excellent written and verbal communications skills Self-starter and motivated with ability to work in a fast-paced software development environment Agile experience highly desirable Experience in Snowflake, Databricks will be a big plus. Return to Work Have you taken time out for caring responsibilities and are now looking to return to work? As part of our Return-to-Work initiative (link to career site page when available), we are encouraging enthusiastic and talented returners to apply and will actively support your return to the workplace. About S&P Global Market Intelligence At S&P Global Market Intelligence, a division of S&P Global we understand the importance of accurate, deep and insightful information. Our team of experts delivers unrivaled insights and leading data and technology solutions, partnering with customers to expand their perspective, operate with confidence, and make decisions with conviction. For more information, visit www.spglobal.com/marketintelligence. What’s In It For You? Our Purpose Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our Benefits Include Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Global Hiring And Opportunity At S&P Global At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning) Job ID: 316183 Posted On: 2025-06-15 Location: Hyderabad, Telangana, India Show more Show less

About the Role: Grade Level (for internal use): 11 S&P Global Market Intelligence The Role: Lead Software Engineer The Team: The Market Intelligence Industry Data Solutions business line provides data technology and services supporting acquisition, ingestion, content management, mastering and distribution to power our Financial Institution Group business and customer needs. Focus on platform scale to support business by following a common data lifecycle that accelerates business value. We provide essential intelligence for Financial Services, Real Estate and Insurance industries The Impact: The FIG Data Engineering team will be responsible for implementing & maintaining services and/or tools to support existing feed systems which allows users to consume FIG datasets and make FIG data available to a data fabric for wider consumption and processing within the company. What’s in it for you: Ability to work with global stakeholders and working on latest tools and technologies. Responsibilities: Build new data acquisition and transformation pipelines using big data and cloud technologies. Work with the broader technology team, including information architecture and data fabric teams to align pipelines with the lodestone initiative. What We’re Looking For: Bachelor’s in computer science or equivalent with at least 8+ years of professional software work experience Experience with Big Data platforms such as Apache Spark, Apache Airflow, Google Cloud Platform, Apache Hadoop. Deep understanding of REST, good API design, and OOP principles Experience with object-oriented/object function scripting languages : Python , C#, Scala, etc. Good working knowledge of relational SQL and NoSQL databases Experience in maintaining and developing software in production utilizing cloud-based tooling ( AWS, Docker & Kubernetes, Okta) Strong collaboration and teamwork skills with excellent written and verbal communications skills Self-starter and motivated with ability to work in a fast-paced software development environment Agile experience highly desirable Experience in Snowflake, Databricks will be a big plus . Return to Work Have you taken time out for caring responsibilities and are now looking to return to work? As part of our Return-to-Work initiative (link to career site page when available), we are encouraging enthusiastic and talented returners to apply and will actively support your return to the workplace. About S&P Global Market Intelligence At S&P Global Market Intelligence, a division of S&P Global we understand the importance of accurate, deep and insightful information. Our team of experts delivers unrivaled insights and leading data and technology solutions, partnering with customers to expand their perspective, operate with confidence, and make decisions with conviction. For more information, visit www.spglobal.com/marketintelligence . What’s In It For You? Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. ----------------------------------------------------------- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ----------------------------------------------------------- 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning) Job ID: 316183 Posted On: 2025-06-15 Location: Hyderabad, Telangana, India

Lead, Application Development Hyderabad, India Information Technology 316183 Job Description About The Role: Grade Level (for internal use): 11 S&P Global Market Intelligence The Role: Lead Software Engineer The Team: The Market Intelligence Industry Data Solutions business line provides data technology and services supporting acquisition, ingestion, content management, mastering and distribution to power our Financial Institution Group business and customer needs. Focus on platform scale to support business by following a common data lifecycle that accelerates business value. We provide essential intelligence for Financial Services, Real Estate and Insurance industries The Impact: The FIG Data Engineering team will be responsible for implementing & maintaining services and/or tools to support existing feed systems which allows users to consume FIG datasets and make FIG data available to a data fabric for wider consumption and processing within the company. What’s in it for you: Ability to work with global stakeholders and working on latest tools and technologies. Responsibilities: Build new data acquisition and transformation pipelines using big data and cloud technologies. Work with the broader technology team, including information architecture and data fabric teams to align pipelines with the lodestone initiative. What We’re Looking For: Bachelor’s in computer science or equivalent with at least 8+ years of professional software work experience Experience with Big Data platforms such as Apache Spark, Apache Airflow, Google Cloud Platform, Apache Hadoop. Deep understanding of REST, good API design, and OOP principles Experience with object-oriented/object function scripting languages : Python , C#, Scala, etc. Good working knowledge of relational SQL and NoSQL databases Experience in maintaining and developing software in production utilizing cloud-based tooling ( AWS, Docker & Kubernetes, Okta) Strong collaboration and teamwork skills with excellent written and verbal communications skills Self-starter and motivated with ability to work in a fast-paced software development environment Agile experience highly desirable Experience in Snowflake, Databricks will be a big plus. Return to Work Have you taken time out for caring responsibilities and are now looking to return to work? As part of our Return-to-Work initiative (link to career site page when available), we are encouraging enthusiastic and talented returners to apply and will actively support your return to the workplace. About S&P Global Market Intelligence At S&P Global Market Intelligence, a division of S&P Global we understand the importance of accurate, deep and insightful information. Our team of experts delivers unrivaled insights and leading data and technology solutions, partnering with customers to expand their perspective, operate with confidence, and make decisions with conviction. For more information, visit www.spglobal.com/marketintelligence. What’s In It For You? Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. - Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf - 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning) Job ID: 316183 Posted On: 2025-06-15 Location: Hyderabad, Telangana, India

About The Role Grade Level (for internal use): 10 Position Summary Our proprietary software-as-a-service helps automotive dealerships and sales teams better understand and predict exactly which customers are ready to buy, the reasons why, and the key offers and incentives most likely to close the sale. Its micro-marketing engine then delivers the right message at the right time to those customers, ensuring higher conversion rates and a stronger ROI. What You'll Do You will be part of our Data Platform & Product Insights data engineering team. As part of this agile team, you will work in our cloud native environment to Build & support data ingestion and processing pipelines in cloud. This will entail extraction, load and transformation of ‘big data’ from a wide variety of sources, both batch & streaming, using latest data frameworks and technologies Partner with product team to assemble large, complex data sets that meet functional and non-functional business requirements, ensure build out of Data Dictionaries/Data Catalogue and detailed documentation and knowledge around these data assets, metrics and KPIs. Warehouse this data, build data marts, data aggregations, metrics, KPIs, business logic that leads to actionable insights into our product efficacy, marketing platform, customer behaviour, retention etc. Build real-time monitoring dashboards and alerting systems. Coach and mentor other team members. Who You Are 6+ years of experience in Big Data and Data Engineering. Strong knowledge of advanced SQL, data warehousing concepts and DataMart designing. Have strong programming skills in SQL, Python/ PySpark etc. Experience in design and development of data pipeline, ETL/ELT process on-premises/cloud. Experience in one of the Cloud providers – GCP, Azure, AWS. Experience with relational SQL and NoSQL databases, including Postgres and MongoDB. Experience workflow management tools: Airflow, AWS data pipeline, Google Cloud Composer etc. Experience with Distributed Versioning Control environments such as GIT, Azure DevOps Building Docker images and fetch/promote and deploy to Production. Integrate Docker container orchestration framework using Kubernetes by creating pods, config Maps, deployments using terraform. Should be able to convert business queries into technical documentation. Strong problem solving and communication skills. Bachelors or an advanced degree in Computer Science or related engineering discipline. Good to have some exposure to Exposure to any Business Intelligence (BI) tools like Tableau, Dundas, Power BI etc. Agile software development methodologies. Working in multi-functional, multi-location teams Grade: 10 Location: Gurugram Hybrid Model: twice a week work from office Shift Time: 12 pm to 9 pm IST What You'll Love About Us – Do ask us about these! Total Rewards. Monetary, beneficial and developmental rewards! Work Life Balance. You can't do a good job if your job is all you do! Prepare for the Future. Academy – we are all learners; we are all teachers! Employee Assistance Program. Confidential and Professional Counselling and Consulting. Diversity & Inclusion. HeForShe! Internal Mobility. Grow with us! About AutomotiveMastermind Who we are: Founded in 2012, automotiveMastermind is a leading provider of predictive analytics and marketing automation solutions for the automotive industry and believes that technology can transform data, revealing key customer insights to accurately predict automotive sales. Through its proprietary automated sales and marketing platform, Mastermind, the company empowers dealers to close more deals by predicting future buyers and consistently marketing to them. automotiveMastermind is headquartered in New York City. For more information, visit automotivemastermind.com. At automotiveMastermind, we thrive on high energy at high speed. We’re an organization in hyper-growth mode and have a fast-paced culture to match. Our highly engaged teams feel passionately about both our product and our people. This passion is what continues to motivate and challenge our teams to be best-in-class. Our cultural values of “Drive” and “Help” have been at the core of what we do, and how we have built our culture through the years. This cultural framework inspires a passion for success while collaborating to win. What We Do Through our proprietary automated sales and marketing platform, Mastermind, we empower dealers to close more deals by predicting future buyers and consistently marketing to them. In short, we help automotive dealerships generate success in their loyalty, service, and conquest portfolios through a combination of turnkey predictive analytics, proactive marketing, and dedicated consultative services. What’s In It For You? Our Purpose Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our Benefits Include Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Global Hiring And Opportunity At S&P Global At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.1 - Middle Professional Tier I (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning) Show more Show less

Working hours: Mon through Fri, 8hours/day, 40 hours/week, US Business hours (Central US time zone) *** YOU ARE REQUIRED TO WORK IN US BUSINESS HOURS*** ***YOU MUST UPLOAD YOUR RESUME IN MICROSOFT WORD*** We’re looking for a Lead DBT Engineer with deep expertise in DBT , Python , and Snowflake to help architect, build, and optimize our modern data stack. This is a hands-on leadership role where you’ll shape our data transformation layer using DBT, mentor engineers, and drive best practices across the data engineering team. Key Responsibilities Lead the design and implementation of scalable data pipelines using DBT and Snowflake Own and maintain the DBT project structure, models, and documentation Write production-grade Python code for custom transformations, orchestration, and data quality checks Collaborate with analytics, product, and engineering teams to translate business needs into well-modeled datasets Implement and enforce CI/CD , testing, and deployment practices within the DBT workflow Monitor data pipelines for quality, performance, and reliability Serve as a technical mentor for junior and mid-level engineers Required Skills & Experience 6+ years of experience in data engineering with at least 2 years in a lead role Advanced expertise in DBT (Data Build Tool) — including Jinja, macros, snapshots, and tests Proficient in Python for data processing, scripting, and automation Strong experience with Snowflake (warehousing, performance tuning, and SQL optimization) Solid understanding of data modeling (dimensional/star/snowflake schemas) Experience working with modern data stacks (Airflow, Fivetran, Looker, etc. is a plus) Strong grasp of software engineering practices : version control, unit testing, and CI/CD pipelines Excellent communication skills and ability to lead cross-functional data initiatives Preferred Qualifications Experience building or scaling a DBT implementation from scratch Familiarity with orchestration tools (Airflow, Dagster, Prefect) Prior experience in a high-growth tech or SaaS environment Exposure to cloud infrastructure (AWS, GCP, or Azure) Show more Show less

Role Summary Pfizer’s purpose is to deliver breakthroughs that change patients’ lives. Research and Development is at the heart of fulfilling Pfizer’s purpose as we work to translate advanced science and technologies into the therapies and vaccines that matter most. Whether you are in the discovery sciences, ensuring drug safety and efficacy or supporting clinical trials, you will apply cutting edge design and process development capabilities to accelerate and bring the best in class medicines to patients around the world. Pfizer is seeking a highly skilled and motivated AI Engineer to join our advanced technology team. The successful candidate will be responsible for developing, implementing, and optimizing artificial intelligence models and algorithms to drive innovation and efficiency in our Data Analytics and Supply Chain solutions. This role demands a collaborative mindset, a passion for cutting-edge technology, and a commitment to improving patient outcomes. Role Responsibilities Lead data modeling and engineering efforts within advanced data platforms teams to achieve digital outcomes. Provides guidance and may lead/co-lead moderately complex projects. Oversee the development and execution of test plans, creation of test scripts, and thorough data validation processes. Lead the architecture, design, and implementation of Cloud Data Lake, Data Warehouse, Data Marts, and Data APIs. Lead the development of complex data products that benefit PGS and ensure reusability across the enterprise. Collaborate effectively with contractors to deliver technical enhancements. Oversee the development of automated systems for building, testing, monitoring, and deploying ETL data pipelines within a continuous integration environment. Collaborate with backend engineering teams to analyze data, enhancing its quality and consistency. Conduct root cause analysis and address production data issues. Lead the design, develop, and implement AI models and algorithms to solve sophisticated data analytics and supply chain initiatives. Stay abreast of the latest advancements in AI and machine learning technologies and apply them to Pfizer's projects. Provide technical expertise and guidance to team members and stakeholders on AI-related initiatives. Document and present findings, methodologies, and project outcomes to various stakeholders. Integrate and collaborate with different technical teams across Digital to drive overall implementation and delivery. Ability to work with large and complex datasets, including data cleaning, preprocessing, and feature selection. Basic Qualifications A bachelor's or master’s degree in computer science, Artificial Intelligence, Machine Learning, or a related discipline. Over 4 years of experience as a Data Engineer, Data Architect, or in Data Warehousing, Data Modeling, and Data Transformations. Over 2 years of experience in AI, machine learning, and large language models (LLMs) development and deployment. Proven track record of successfully implementing AI solutions in a healthcare or pharmaceutical setting is preferred. Strong understanding of data structures, algorithms, and software design principles Programming Languages: Proficiency in Python, SQL, and familiarity with Java or Scala AI and Automation: Knowledge of AI-driven tools for data pipeline automation, such as Apache Airflow or Prefect. Ability to use GenAI or Agents to augment data engineering practices Preferred Qualifications Data Warehousing: Experience with data warehousing solutions such as Amazon Redshift, Google BigQuery, or Snowflake. ETL Tools: Knowledge of ETL tools like Apache NiFi, Talend, or Informatica. Big Data Technologies: Familiarity with Hadoop, Spark, and Kafka for big data processing. Cloud Platforms: Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP). Containerization: Understanding of Docker and Kubernetes for containerization and orchestration. Data Integration: Skills in integrating data from various sources, including APIs, databases, and external files. Data Modeling: Understanding of data modeling and database design principles, including graph technologies like Neo4j or Amazon Neptune. Structured Data: Proficiency in handling structured data from relational databases, data warehouses, and spreadsheets. Unstructured Data: Experience with unstructured data sources such as text, images, and log files, and tools like Apache Solr or Elasticsearch. Data Excellence: Familiarity with data excellence concepts, including data governance, data quality management, and data stewardship. Non-standard Work Schedule, Travel Or Environment Requirements Occasionally travel required Work Location Assignment: Hybrid The annual base salary for this position ranges from $96,300.00 to $160,500.00. In addition, this position is eligible for participation in Pfizer’s Global Performance Plan with a bonus target of 12.5% of the base salary and eligibility to participate in our share based long term incentive program. We offer comprehensive and generous benefits and programs to help our colleagues lead healthy lives and to support each of life’s moments. Benefits offered include a 401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution, paid vacation, holiday and personal days, paid caregiver/parental and medical leave, and health benefits to include medical, prescription drug, dental and vision coverage. Learn more at Pfizer Candidate Site – U.S. Benefits | (uscandidates.mypfizerbenefits.com). Pfizer compensation structures and benefit packages are aligned based on the location of hire. The United States salary range provided does not apply to Tampa, FL or any location outside of the United States. Relocation assistance may be available based on business needs and/or eligibility. Sunshine Act Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations. These laws and regulations require Pfizer to provide government agencies with information such as a health care provider’s name, address and the type of payments or other value received, generally for public disclosure. Subject to further legal review and statutory or regulatory clarification, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act. Therefore, if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse, your name, address and the amount of payments made currently will be reported to the government. If you have questions regarding this matter, please do not hesitate to contact your Talent Acquisition representative. EEO & Employment Eligibility Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Pfizer is an E-Verify employer. This position requires permanent work authorization in the United States. Information & Business Tech Show more Show less

I am thrilled to share an exciting opportunity with one of our esteemed clients! 🚀 Join me in exploring new horizons and unlocking potential. If you're ready for a challenge and growth,. Exp: 7+yrs Location: Chennai, Hyderabad Immediate joiner only, WFO Mandatory skills: SQL, Python, Pyspark, Databricks (strong in core databricks), AWS (AWS is mandate) JD: Manage and optimize cloud infrastructure (AWS, Databricks) for data storage, processing, and compute resources, ensuring seamless data operations. Implement data quality checks, validation rules, and transformation logic to ensure the accuracy, consistency, and reliability of data. Integrate data from multiple sources, ensuring data is accurately transformed and stored in optimal formats (e.g., Delta Lake, Redshift, S3). Automate data workflows using tools like Airflow, Databricks APIs, and other orchestration technologies to streamline data ingestion, processing, and reporting tasks. Regards R Usha usha@livecjobs.com Show more Show less