JOB DESCRIPTION You strive to be an essential member of a diverse team of visionaries dedicated to making a lasting impact. Don’t pass up this opportunity to collaborate with some of the brightest minds in the field and deliver best-in-class solutions to the industry. As a Senior Lead Data Architect at JPMorgan Chase within the Consumer and Community Banking Data Technology, you are an integral part of a team that works to develop high-quality data architecture solutions for various software applications, platform and data products. Drive significant business impact and help shape the global target state architecture through your capabilities in multiple data architecture domains. Job responsibilities Represents the data architecture team at technical governance bodies and provides feedback regarding proposed improvements regarding data architecture governance practices Evaluates new and current technologies using existing data architecture standards and frameworks Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors Design secure, high-quality, scalable solutions and reviews architecture solutions designed by others Drives data architecture decisions that impact data product & platform design, application functionality, and technical operations and processes Serves as a function-wide subject matter expert in one or more areas of focus Actively contributes to the data engineering community as an advocate of firmwide data frameworks, tools, and practices in the Software Development Life Cycle Influences peers and project decision-makers to consider the use and application of leading-edge technologies Advises junior architects and technologists Required qualifications, capabilities, and skills 7+ years of hands-on practical experience delivering data architecture and system designs, data engineer, testing, and operational stability Advanced knowledge of architecture, applications, and technical processes with considerable in-depth knowledge in data architecture discipline and solutions (e.g., data modeling, native cloud data services, business intelligence, artificial intelligence, machine learning, data domain driven design, etc.) Practical cloud based data architecture and deployment experience, preferably AWS Practical SQL development experiences in cloud native relational databases, e.g. Snowflake, Athena, Postgres Ability to deliver various types of data models with multiple deployment targets, e.g. conceptual, logical and physical data models deployed as an operational vs. analytical data stores Advanced in one or more data engineering disciplines, e.g. streaming, ELT, event processing Ability to tackle design and functionality problems independently with little to no oversight Ability to evaluate current and emerging technologies to select or recommend the best solutions for the future state data architecture Preferred qualifications, capabilities, and skills Financial services experience, card and banking a big plus Practical experience in modern data processing technologies, e.g., Kafka streaming, DBT, Spark, Airflow, etc. Practical experience in data mesh and/or data lake Practical experience in machine learning/AI with Python development a big plus Practical experience in graph and semantic technologies, e.g. RDF, LPG, Neo4j, Gremlin Knowledge of architecture assessments frameworks, e.g. Architecture Trade off Analysis 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 Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction.

Job Description The Service360 Senior Data Engineer will be the trusted data advisor in GDI&A (Global Data Insights & Analytics) supporting the following teams: Ford Pro, FCSA (Ford Customer Service Analytics) and FCSD (Ford Customer Service Division) Business. This is an exciting opportunity that provides the Data Engineer a well-rounded experience. The position requires translation of the customer’s Analytical needs into specific data products that should be built in the GCP environment by collaborating with the Product Owners, Technical Anchor and the Customers Responsibilities Work on a small agile team to deliver curated data products for the Product Organization. Work effectively with fellow data engineers, product owners, data champions and other technical experts. Minimum of 5 years of experience with progressive responsibilities in software development Minimum of 3 years of experience defining product vision, strategy, product roadmaps and creating and managing backlogs Experience wrangling, transforming and visualizing large data sets from multiple sources, using a variety of tools Proficiency in SQL is a must have skill Excellent written and verbal communication skills Must be comfortable presenting to and interacting with cross-functional teams and customers Demonstrate technical knowledge and communication skills with the ability to advocate for well-designed solutions. Develop exceptional analytical data products using both streaming and batch ingestion patterns on Google Cloud Platform with solid data warehouse principles. Be the Subject Matter Expert in Data Engineering with a focus on GCP native services and other well integrated third-party technologies. Architect and implement sophisticated ETL pipelines, ensuring efficient data integration into Big Query from diverse batch and streaming sources. Spearhead the development and maintenance of data ingestion and analytics pipelines using cutting-edge tools and technologies, including Python, SQL, and DBT/Data form. Ensure the highest standards of data quality and integrity across all data processes. Data workflow management using Astronomer and Terraform for cloud infrastructure, promoting best practices in Infrastructure as Code Rich experience in Application Support in GCP. Experienced in data mapping, impact analysis, root cause analysis, and document data lineage to support robust data governance. Develop comprehensive documentation for data engineering processes, promoting knowledge sharing and system maintainability. Utilize GCP monitoring tools to proactively address performance issues and ensure system resilience, while providing expert production support. Provide strategic guidance and mentorship to team members on data transformation initiatives, championing data utility within the enterprise. Qualifications Experience working in GCP native (or equivalent) services like Big Query, Google Cloud Storage, PubSub, Dataflow, Dataproc etc. Experience working with Airflow for scheduling and orchestration of data pipelines. Experience working with Terraform to provision Infrastructure as Code. 2 + years professional development experience in Java or Python. Bachelor’s degree in computer science or related scientific field. Experience in analysing complex data, organizing raw data, and integrating massive datasets from multiple data sources to build analytical domains and reusable data products. Experience in working with architects to evaluate and productionalize data pipelines for data ingestion, curation, and consumption. Experience in working with stakeholders to formulate business problems as technical data requirements, identify and implement technical solutions while ensuring key business drivers are captured in collaboration with product management. Show more Show less

Job Description Job Title: Automation Tester - Selenium, python, databricks Candidate Specification: 7 + years, Immediate to 30 days. Job Description Experience with Automated Testing. Ability to code and read a programming language (Python). Experience in pytest, selenium(python). Experience working with large datasets and complex data environments. Experience with airflow, Databricks, Data lake, Pyspark. Knowledge and working experience in Agile methodologies. Experience in CI/CD/CT methodology. Experience in Test methodologies. Skills Required RoleAutomation Tester Industry TypeIT/ Computers - Software Functional Area Required Education B Tech Employment TypeFull Time, Permanent Key Skills SELENIUM PYTHON DATABRICKS Other Information Job CodeGO/JC/100/2025 Recruiter NameSheena Rakesh Show more Show less

Responsibilities: * Design, develop & maintain data pipelines using Airflow, Python & SQL. * Optimize performance through Spark & Splunk analytics. * Collaborate with cross-functional teams on big data initiatives. * AWS

Role: Founding Data Platform Architect Function: Founding Data Engineering and ML Infrastructure Location: Gurgaon Type: Full-time Salary: 50-80+ LPA + ESOPs About the Company: An early-stage, US-based venture-backed technology company focused on creating innovative platforms for building meaningful relationships. They aim to transform how people connect by harnessing artificial intelligence, fostering community engagement, and delivering tailored content. Rather than developing another conventional social app, they’re crafting a unique experience that resonates deeply with users, making them feel truly understood. Central to our platform is a dynamic, machine-learning-powered recommendation system, drawing inspiration from the personalised discovery engines of leading music and video platforms. With strong financial backing from top-tier venture capital firms in India and the United States, they are well-positioned to advance our mission with innovation and impact. Company Philosophy: They believe: Great data + Good models = Great recommendations Good data + Great models = Average recommendations That’s why they’re investing in data infrastructure from our inception and foundation. Position Overview: We are looking for a Founding Data Platform Architect to design, build, and scale the data platform and infrastructure that powers our core recommendation systems and personalization engines. This is a 0→10 phase role — your architectural decisions and early hires will shape how our product thinks, recommends, and adapts. You'll also play a player-coach role: contributing directly to code and architecture while hiring and leading a small team of data engineers as we grow. You'll work hand-in-hand with our ML team to build data adapters and interfaces for model training, serving, and experimentation. Role & Responsibilities: Architect the entire data platform from scratch — including event capture, batch and streaming pipelines, and feature engineering Build the foundational event streams that capture swipes, likes, video views, and profile interactions Design and implement a feature store and embedding pipeline to power matchmaking, feed ranking, and personalisation Collaborate with ML engineers to support data adapters , model input schemas , and real-time scoring interfaces Define standards for data quality , governance , freshness , observability , and security across teams Own the strategy for tools, schemas, governance, scalability, and f uture-proofing as models evolve Recruit , mentor , and lead a small team of data engineers and analysts over time Ideal Profile: You’re a systems thinker who starts with data and designs for scale. You’ve likely been at early-stage or high-scale consumer platforms — social, gaming, transactions, or media. Experience : 6–12 years building scalable data systems in fast-moving environments. Industry Fit : Experience supporting RecSys, ML, or content feeds in social or consumer platforms. Architecture Skills : Designed systems spanning batch + streaming, raw → clean → features → serving. Leadership : Ability to mentor junior engineers or build small teams from scratch. ML Awareness : Worked closely with ML teams; understands feature engineering, embedding stores, retrieval systems, and typical models. Product Empathy : Understands how data impacts user experience, not just analytics. Tools Fluency : Proficient in Kafka, Spark, Flink, Airflow, dbt, Redis, BigQuery, Feast, Terraform; can pick the best tool for the job. Nice to have: Experience with graph modelling for users/interactions Familiarity with privacy-aware infrastructure (GDPR, PII, consent) Exposure to A/B testing platforms or online experimentation infrastructure What we offer: You’ll be the first data architect at a company where recommendation is the product Your platform will directly impact how people form meaningful relationships You’ll shape our data + ML infra, hire the next engineers, and scale with us to millions of users Significant ESOPs and wealth creation with market-competitive cash compensation Show more Show less

Job Title: Data Analyst – AdTech (1+ Years Experience) Location: Hyderabad Experience Level: 2–3 Years Employment Type: Full-time Shift Timings: 5PM - 2AM IST About the Role: We are looking for a highly motivated and detail-oriented Data Analyst with 1+ years of experience to join our AdTech analytics team. In this role, you will be responsible for working with large-scale advertising and digital media datasets, building robust data pipelines, querying and transforming data using GCP tools, and delivering insights through visualization platforms like Looker Studio, Looker, Tableau etc Key Responsibilities: Analyze AdTech data (e.g., ads.txt, programmatic delivery, campaign performance, revenue metrics) to support business decisions. Design, develop, and maintain scalable data pipelines using GCP-native tools (e.g., Cloud Functions, Dataflow, Composer). Write and optimize complex SQL queries in BigQuery for data extraction and transformation. Build and maintain dashboards and reports in Looker Studio to visualize KPIs and campaign performance. Collaborate with cross-functional teams including engineering, operations, product, and client teams to gather requirements and deliver analytics solutions. Monitor data integrity, identify anomalies, and work on data quality improvements. Provide actionable insights and recommendations based on data analysis and trends. Required Qualifications: 1+ years of experience in a data analytics or business intelligence role. Hands-on experience with AdTech datasets and understanding of digital advertising concepts. Strong proficiency in SQL, particularly with Google BigQuery. Experience building and managing data pipelines using Google Cloud Platform (GCP) tools. Proficiency in Looker Studio Strong problem-solving skills and attention to detail. Excellent communication skills with the ability to explain technical topics to non-technical stakeholders. Preferred Qualifications: Experience with additional visualization tools such as Tableau, Power BI, or Looker (BI). Exposure to data orchestration tools like Apache Airflow (via Cloud Composer). Familiarity with Python for scripting or automation. Understanding of cloud data architecture and AdTech integrations (e.g., DV360, Ad Manager, Google Ads).

Job Description Responsible to assemble large, complex sets of data that meet non-functional and functional business requirements. Responsible to identify, design and implement internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes. Building required infrastructure for optimal extraction, transformation and loading of data from various data sources using Azure, Databricks and SQL technologies Responsible for the transformation of conceptual algorithms from R&D into efficient, production ready code. The data developer must have a strong mathematical background in order to be able to document and maintain the code Responsible for integrating finished models into larger data processes using UNIX scripting languages such as ksh, Python, Spark, Scala, etc. Produce and maintain documentation for released data sets, new programs, shared utilities, or static data. This must be done within department standards Ensure quality deliverables to clients by following existing quality processes, manually calculating comparison data, developing statistical pass/fail testing, and visually inspecting data for reasonableness: the requirement is on-time with zero defects Qualifications Education/Training B.E./B.Tech. with a major in Computer Science, BIS, CIS, Electrical Engineering, Operations Research or some other technical field. Course work or experience in Numerical Analysis, Mathematics or Statistics is a plus Hard Skills Proven experience working as a data engineer Highly proficient in using the spark framework (python and/or Scala) Extensive knowledge of Data Warehousing concepts, strategies, methodologies. Programming experience in Python, SQL, Scala Direct experience of building data pipelines using Apache Spark (preferably in Databricks), Airflow. Hands on experience designing and delivering solutions using Azure including Azure Storage, Azure SQL Data Warehouse, Azure Data Lake Experience with big data technologies (Hadoop) Databricks & Azure Big Data Architecture Certification would be plus Must be team oriented with strong collaboration, prioritization, and adaptability skills required Ability to write highly efficient code in terms of performance / memory utilization Basic knowledge of SQL; capable of handling common functions Experience Minimum 5 -8 year of experience as Data engineer Experience modeling or manipulating large amounts of data is a plus Experience with Demographic, Retail business is a plus Additional Information Our Benefits Flexible working environment Volunteer time off LinkedIn Learning Employee-Assistance-Program (EAP) About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: LinkedIn | Instagram | Twitter | Facebook Our commitment to Diversity, Equity, and Inclusion NIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide. Learn more about how we are driving diversity and inclusion in everything we do by visiting the NIQ News Center: https://nielseniq.com/global/en/news-center/diversity-inclusion Show more Show less

You Lead the Way. We’ve Got Your Back. With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally. At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong. Join Team Amex and let's lead the way together. About Enterprise Architecture: Enterprise Architecture is an organization within the Chief Technology Office at American Express and it is a key enabler of the company’s technology strategy. The four pillars of Enterprise Architecture include: Architecture as Code: this pillar owns and operates foundational technologies that are leveraged by engineering teams across the enterprise. Architecture as Design: this pillar includes the solution and technical design for transformation programs and business critical projects which need architectural guidance and support. Governance: this pillar is responsible for defining technical standards, and developing innovative tools that automate controls to ensure compliance. Colleague Enablement: this pillar is focused on colleague development, recognition, training, and enterprise outreach. Responsibilities: Designing, developing, and scalable, secure, and resilient applications and data pipelines Support regulatory audits by providing architectural guidance and documentation as needed. Contribute to enterprise architecture initiatives, domain reviews, and solution architecture. Foster innovation by exploring new tools, frameworks, and design methodologies. Qualifications: Preferably a BS or MS degree in computer science, computer engineering, or other technical discipline 6+ years of software engineering experience with strong proficiency in Java and Node.js. Experience with Python and workflow orchestration tools like Apache Airflow is highly desirable. Proven experience in designing and implementing distributed systems and APIs. Familiarity with cloud platforms (e.g., GCP, AWS) and modern CI/CD pipelines. Ability to write clear architectural documentation and present ideas concisely. Demonstrated success working collaboratively in a cross-functional, matrixed environment. Passion for innovation, problem-solving, and driving technology modernization. Experience with micro services architectures and event driven architecture is preferred. We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally: Competitive base salaries Bonus incentives Support for financial-well-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

Coursera was launched in 2012 by Andrew Ng and Daphne Koller, with a mission to provide universal access to world-class learning. It is now one of the largest online learning platforms in the world, with 175 million registered learners as of March 31, 2025. Coursera partners with over 350 leading universities and industry leaders to offer a broad catalog of content and credentials, including courses, Specializations, Professional Certificates, and degrees. Coursera’s platform innovations enable instructors to deliver scalable, personalized, and verified learning experiences to their learners. Institutions worldwide rely on Coursera to upskill and reskill their employees, citizens, and students in high-demand fields such as GenAI, data science, technology, and business. Coursera is a Delaware public benefit corporation and a B Corp. Join us in our mission to create a world where anyone, anywhere can transform their life through access to education. We're seeking talented individuals who share our passion and drive to revolutionize the way the world learns. At Coursera, we are committed to building a globally diverse team and are thrilled to extend employment opportunities to individuals in any country where we have a legal entity. We require candidates to possess eligible working rights and have a compatible timezone overlap with their team to facilitate seamless collaboration. Coursera has a commitment to enabling flexibility and workspace choices for employees. Our interviews and onboarding are entirely virtual, providing a smooth and efficient experience for our candidates. As an employee, we enable you to select your main way of working, whether it's from home, one of our offices or hubs, or a co-working space near you. About The Role Coursera is seeking a highly skilled and motivated Senior AI Specialist to join our team. This individual will play a pivotal role in developing and deploying advanced AI solutions that enhance our platform and transform the online learning experience. The ideal candidate has 5–8 years of experience , combining deep technical expertise with strong leadership and collaboration skills. This is a unique opportunity to work on cutting-edge projects in AI/ML, including recommendation systems, predictive analytics, and content optimization. We’re looking for someone who is not only a strong individual contributor but also capable of mentoring others and influencing technical direction across teams. Key Responsibilities Deploy and customize AI/ML solutions using platforms such as Google AI, AWS SageMaker, and other cloud-based tools. Design, implement, and optimize models for predictive analytics, semantic parsing, topic modeling, and information extraction. Enhance customer journey analytics to identify actionable insights and improve user experience across Coursera’s platform. Build and maintain AI pipelines for data ingestion, curation, training, evaluation, and model monitoring. Conduct advanced data preprocessing and cleaning to ensure high-quality model inputs. Analyze large-scale datasets (e.g., customer reviews, usage logs) to improve recommendation systems and platform features. Evaluate and improve the quality of video and audio content using AI-based techniques. Collaborate cross-functionally with product, engineering, and data teams to integrate AI solutions into user-facing applications. Support and mentor team members in AI/ML best practices and tools. Document workflows, architectures, and troubleshooting steps to support long-term scalability and knowledge sharing. Stay current with emerging AI/ML trends and technologies, advocating for their adoption where applicable. Qualifications Education Bachelor’s degree in Computer Science, Machine Learning, or a related technical field (required). Master’s or PhD preferred. Experience 5–8 years of experience in AI/ML development with a strong focus on building production-grade models and pipelines. Proven track record in deploying scalable AI solutions using platforms like Google Vertex AI, AWS SageMaker, Microsoft Azure, or Databricks. Strong experience with backend integration, API development, and cloud-native services. Technical Skills Programming: Advanced proficiency in Python (including libraries like TensorFlow, PyTorch, Scikit-learn). Familiarity with Java or similar languages is a plus. Data Engineering: Expertise in handling large datasets using PySpark, AWS Glue, Apache Airflow, and S3. Databases: Solid experience with both SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, DynamoDB) systems. Cloud: Hands-on experience with cloud platforms (AWS, GCP) and tools like Vertex AI, SageMaker, BigQuery, Lambda, etc. Soft Skills & Leadership Attributes (Senior Engineer Level) Technical leadership: Ability to drive end-to-end ownership of AI/ML projects—from design through deployment and monitoring. Collaboration: Skilled at working cross-functionally with product managers, engineers, and stakeholders to align on priorities and deliver impactful solutions. Mentorship: Experience mentoring junior engineers and fostering a culture of learning and growth within the team. Communication: Clear communicator who can explain complex technical concepts to non-technical stakeholders. Problem-solving: Proactive in identifying challenges and proposing scalable, maintainable solutions. Adaptability: Comfortable working in a fast-paced, evolving environment with changing priorities and goals. Coursera is an Equal Employment Opportunity Employer and considers all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, age, marital status, national origin, protected veteran status, disability, or any other legally protected class. If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process, please contact us at accommodations@coursera.org. For California Candidates, please review our CCPA Applicant Notice here. For our Global Candidates, please review our GDPR Recruitment Notice here. Show more Show less

Ahom Technologies Pvt Ltd is looking for Python Developers Who we are AHOM Technologies Private Limited is a specialized Web Development Company based out at Gurgaon, India. We provide high quality and professional software services to the clients residing across the globe. Our professionals have been working with clients of India as well as from International origin. Based in Gurugram, India, we have a proven track record of catering to clients across the globe, including the USA, UK, and Australia. Our team of experts brings extensive experience in providing top-notch solutions to diverse clientele, ensuring excellence in every project What you’ll be doing We are seeking an experienced Python Developer with a strong background in Databricks to join our data engineering and analytics team. The ideal candidate will play a key role in building and maintaining scalable data pipelines and analytical platforms using Python and Databricks, with an emphasis on performance and cloud integration. You will be responsible for: · Design, develop, and maintain scalable Python applications for data processing and analytics. · Build and manage ETL pipelines using Databricks on Azure/AWS cloud platforms. · Collaborate with analysts and other developers to understand business requirements and implement data-driven solutions. · Optimize and monitor existing data workflows to improve performance and scalability. · Write clean, maintainable, and testable code following industry best practices. · Participate in code reviews and provide constructive feedback. · Maintain documentation and contribute to project planning and reporting. What skills & experience you’ll bring to us · Bachelor's degree in Computer Science, Engineering, or related field · Prior experience as a Python Developer or similar role, with a strong portfolio showcasing your past projects. · 4-6 years of Python experience · Strong proficiency in Python programming. · Hands-on experience with Databricks platform (Notebooks, Delta Lake, Spark jobs, cluster configuration, etc.). · Good knowledge of Apache Spark and its Python API (PySpark). · Experience with cloud platforms (preferably Azure or AWS) and working with Databricks on cloud. · Familiarity with data pipeline orchestration tools (e.g., Airflow, Azure Data Factory, etc.). · Strong understanding of database systems (SQL/NoSQL) and data modeling. · Strong communication skills and ability to collaborate effectively with cross-functional teams Want to apply? Get in touch today We’re always excited to hear from passionate individuals ready to make a difference and join our team, we’d love to connect. Reach out to us through our email: shubhangi.chandani@ahomtech.com and hr@ahomtech.com — and let’s start the conversation. *Immediate joiners need only apply *Candidates from Delhi NCR are preferred Job Type: Full-time Pay: ₹600,000.00 - ₹800,000.00 per year Benefits: Provident Fund Schedule: Day shift Application Question(s): We want to fill this position urgently. Are you an immediate joiner? Do you have hands-on experience with Databricks platform (Notebooks, Delta Lake, Spark jobs, cluster configuration, etc.)? Do you have experience with cloud platforms (preferably Azure or AWS) and working with Databricks on cloud? Work Location: In person Application Deadline: 15/06/2025 Expected Start Date: 18/06/2025

Full-time Job Description Responsible to assemble large, complex sets of data that meet non-functional and functional business requirements. Responsible to identify, design and implement internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes. Building required infrastructure for optimal extraction, transformation and loading of data from various data sources using Azure, Databricks and SQL technologies Responsible for the transformation of conceptual algorithms from R&D into efficient, production ready code. The data developer must have a strong mathematical background in order to be able to document and maintain the code Responsible for integrating finished models into larger data processes using UNIX scripting languages such as ksh, Python, Spark, Scala, etc. Produce and maintain documentation for released data sets, new programs, shared utilities, or static data. This must be done within department standards Ensure quality deliverables to clients by following existing quality processes, manually calculating comparison data, developing statistical pass/fail testing, and visually inspecting data for reasonableness: the requirement is on-time with zero defects Qualifications Education/Training B.E./B.Tech. with a major in Computer Science, BIS, CIS, Electrical Engineering, Operations Research or some other technical field. Course work or experience in Numerical Analysis, Mathematics or Statistics is a plus Hard Skills Proven experience working as a data engineer Highly proficient in using the spark framework (python and/or Scala) Extensive knowledge of Data Warehousing concepts, strategies, methodologies. Programming experience in Python, SQL, Scala Direct experience of building data pipelines using Apache Spark (preferably in Databricks), Airflow. Hands on experience designing and delivering solutions using Azure including Azure Storage, Azure SQL Data Warehouse, Azure Data Lake Experience with big data technologies (Hadoop) Databricks & Azure Big Data Architecture Certification would be plus Must be team oriented with strong collaboration, prioritization, and adaptability skills required Ability to write highly efficient code in terms of performance / memory utilization Basic knowledge of SQL; capable of handling common functions Experience Minimum 5 -8 year of experience as Data engineer Experience modeling or manipulating large amounts of data is a plus Experience with Demographic, Retail business is a plus Additional Information Our Benefits Flexible working environment Volunteer time off LinkedIn Learning Employee-Assistance-Program (EAP) About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: LinkedIn | Instagram | Twitter | Facebook Our commitment to Diversity, Equity, and Inclusion NIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide. Learn more about how we are driving diversity and inclusion in everything we do by visiting the NIQ News Center: https://nielseniq.com/global/en/news-center/diversity-inclusion I'm interested I'm interested Privacy Policy Show more Show less

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Data Scientist Who is Mastercard? Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships, and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all. Our Team: As consumer preference for digital payments continues to grow, ensuring a seamless and secure consumer experience is top of mind. Optimization Soltions team focuses on tracking of digital performance across all products and regions, understanding the factors influencing performance and the broader industry landscape. This includes delivering data-driven insights and business recommendations, engaging directly with key external stakeholders on implementing optimization solutions (new and existing), and partnering across the organization to drive alignment and ensure action is taken. Are you excited about Data Assets and the value they bring to an organization? Are you an evangelist for data-driven decision-making? Are you motivated to be part of a team that builds large-scale Analytical Capabilities supporting end users across 6 continents? Do you want to be the go-to resource for data science & analytics in the company? The Role: Work closely with global optimization solutions team to architect, develop, and maintain advanced reporting and data visualization capabilities on large volumes of data to support data insights and analytical needs across products, markets, and services The candidate for this position will focus on Building solutions using Machine Learning and creating actionable insights to support product optimization and sales enablement. Prototype new algorithms, experiment, evaluate and deliver actionable insights. Drive the evolution of products with an impact focused on data science and engineering. Designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models. Perform data ingestion, aggregation, and processing on high volume and high dimensionality data to drive and enable data unification and produce relevant insights. Continuously innovate and determine new approaches, tools, techniques & technologies to solve business problems and generate business insights & recommendations. Apply knowledge of metrics, measurements, and benchmarking to complex and demanding solutions. All about You A superior academic record at a leading university in Computer Science, Data Science, Technology, mathematics, statistics, or a related field or equivalent work experience Experience in data management, data mining, data analytics, data reporting, data product development and quantitative analysis Strong analytical skills with track record of translating data into compelling insights Prior experience working in a product development role. knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture. proficiency in using Python/Spark, Hadoop platforms & tools (Hive, Impala, Airflow, NiFi), and SQL to build Big Data products & platforms Experience with Enterprise Business Intelligence Platform/Data platform i.e. Tableau, PowerBI is a plus. Demonstrated success interacting with stakeholders to understand technical needs and ensuring analyses and solutions meet their needs effectively. Ability to build a strong narrative on the business value of products and actively participate in sales enablement efforts. Able to work in a fast-paced, deadline-driven environment as part of a team and as an individual contributor. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

About the Role: We are looking for a hands-on Data Engineer to join our team and take full ownership of scraping pipelines and data quality. You'll be working on data from 60+ websites involving PDFs, processed via OCR and stored in MySQL/PostgreSQL. You’ll build robust, self-healing pipelines and fix common data issues (missing fields, duplication, formatting errors). Responsibilities: Own and optimize Airflow scraping DAGs for 60+ sites Implement validation checks, retry logic, and error alerts Build pre-processing routines to clean OCR'd text Create data normalization and deduplication workflows Maintain data integrity across MySQL and PostgreSQL Collaborate with ML team for downstream AI use cases Requirements: 2–5 years of experience in Python-based data engineering Experience with Airflow, Pandas, OCR (Tesseract or AWS Textract) Solid SQL and schema design skills (MySQL/PostgreSQL) Familiarity with CSV processing and data pipelines Bonus: Experience with scraping using Scrapy or Selenium Location: Delhi (in-office only) Salary Range : 50-80k/Month Show more Show less

Snowflake - Senior Technical Lead Full-time Company Description About Sopra Steria Sopra Steria, a major Tech player in Europe with 50,000 employees in nearly 30 countries, is recognised for its consulting, digital services and solutions. It helps its clients drive their digital transformation and obtain tangible and sustainable benefits. The Group provides end-to-end solutions to make large companies and organisations more competitive by combining in-depth knowledge of a wide range of business sectors and innovative technologies with a collaborative approach. Sopra Steria places people at the heart of everything it does and is committed to putting digital to work for its clients in order to build a positive future for all. In 2024, the Group generated revenues of €5.8 billion. The world is how we shape it. Job Description Position: Snowflake - Senior Technical Lead Experience: 8-11 years Location: Noida/ Bangalore Education: B.E./ B.Tech./ MCA Primary Skills: Snowflake, Snowpipe, SQL, Data Modelling, DV 2.0, Data Quality, AWS, Snowflake Security Good to have Skills: Snowpark, Data Build Tool, Finance Domain Experience with Snowflake-specific features: Snowpipe, Streams & Tasks, Secure Data Sharing. Experience in data warehousing, with at least 2 years focused on Snowflake. Hands-on expertise in SQL, Snowflake scripting (JavaScript UDFs), and Snowflake administration. Proven experience with ETL/ELT tools (e.g., dbt, Informatica, Talend, Matillion) and orchestration frameworks. Deep knowledge of data modeling techniques (star schema, data vault) and performance tuning. Familiarity with data security, compliance requirements, and governance best practices. Experience in Python, Scala, or Java for Snowpark development is good to have. Strong understanding of cloud platforms (AWS, Azure, or GCP) and related services (S3, ADLS, IAM) Key Responsibilities Define data partitioning, clustering, and micro-partition strategies to optimize performance and cost. Lead the implementation of ETL/ELT processes using Snowflake features (Streams, Tasks, Snowpipe). Automate schema migrations, deployments, and pipeline orchestration (e.g., with dbt, Airflow, or Matillion). Monitor query performance and resource utilization; tune warehouses, caching, and clustering. Implement workload isolation (multi-cluster warehouses, resource monitors) for concurrent workloads. Define and enforce role-based access control (RBAC), masking policies, and object tagging. Ensure data encryption, compliance (e.g., GDPR, HIPAA), and audit logging are correctly configured. Establish best practices for dimensional modeling, data vault architecture, and data quality. Create and maintain data dictionaries, lineage documentation, and governance standards. Partner with business analysts and data scientists to understand requirements and deliver analytics-ready datasets. Stay current with Snowflake feature releases (e.g., Snowpark, Native Apps) and propose adoption strategies. Contribute to the long-term data platform roadmap and cloud cost-optimization initiatives. Qualifications BTech/MCA Additional Information At our organization, we are committed to fighting against all forms of discrimination. We foster a work environment that is inclusive and respectful of all differences. All of our positions are open to people with disabilities.

Role Overview We are looking for a detail-oriented and business-savvy Data Scientist with a strong domain understanding of smart metering and utility data . This role is central to transforming raw metering data into actionable insights and delivering high-quality dashboards and analytics to support operational and strategic decision-making across the organization. The ideal candidate is not only technically proficient in data analysis and visualization but also able to interpret metering patterns, consumption behavior, and system anomalies that impact customer experience, revenue, and operational efficiency. Key Responsibilities Analyze large volumes of smart metering data (interval consumption, events, read quality, exceptions) from MDM and HES systems. Identify and interpret consumption patterns, anomalies, and trends that drive actionable insights for business and product teams. Design and build dashboards, visualizations, and reports using tools. Collaborate with product managers, operations, and engineering teams to define data requirements and design meaningful analytics views. Develop rule-based or statistical models for event analytics , billing exceptions , load profiling , and customer segmentation . Translate complex findings into easy-to-understand business insights and recommendations. Ensure data consistency, accuracy, and integrity across different systems and reporting layers. Build automated pipelines to support near real-time and periodic reporting needs. Skills and Qualifications Must Have: 3+ years of experience working with utilities , energy data , particularly from smart meters. Strong SQL skills and experience working with relational databases and data marts. Proficiency in data visualization tools . Solid understanding of smart meter data structure (interval reads, TOU, events, consumption patterns). Ability to independently explore data, validate assumptions, and present clear narratives. Preferred: Familiarity with MDM (Meter Data Management), HES , and utility billing systems. Exposure to AMI events analysis , load curves , and customer behavior analytics . Knowledge of regulatory requirements, data retention, and data privacy in the energy sector. Experience working with large-scale datasets and data platforms (e.g., Delta Lake, Apache Airflow, Apache Spark). Job Type: Full-time Pay: ₹1,200,000.00 - ₹1,500,000.00 per year Schedule: Day shift Work Location: In person

ABOUT HAKKODA Hakkoda, an IBM Company, is a modern data consultancy that empowers data driven organizations to realize the full value of the Snowflake Data Cloud. We provide consulting and managed services in data architecture, data engineering, analytics and data science. We are renowned for bringing our clients deep expertise, being easy to work with, and being an amazing place to work! We are looking for curious and creative individuals who want to be part of a fast-paced, dynamic environment, where everyone’s input and efforts are valued. We hire outstanding individuals and give them the opportunity to thrive in a collaborative atmosphere that values learning, growth, and hard work. Our team is distributed across North America, Latin America, India and Europe. If you have the desire to be a part of an exciting, challenging, and rapidly-growing Snowflake consulting services company, and if you are passionate about making a difference in this world, we would love to talk to you!. We are looking for a skilled and motivated Data Analyst / Data Engineer to join our growing data team in Jaipur. The ideal candidate should have hands-on experience with SQL, Python, Power BI , and familiarity with Snowflake is a strong advantage. You will play a key role in building data pipelines, delivering analytical insights, and enabling data-driven decision-making across the organization. Role Description: Develop and manage robust data pipelines and workflows for data integration, transformation, and loading. Design, build, and maintain interactive Power BI dashboards and reports based on business needs. Optimize existing Power BI reports for performance, usability, and scalability . Write and optimize complex SQL queries for data analysis and reporting. Use Python for data manipulation, automation, and advanced analytics where applicable. Collaborate with business stakeholders to understand requirements and deliver actionable insights . Ensure high data quality, integrity, and governance across all reporting and analytics layers. Work closely with data engineers, analysts, and business teams to deliver scalable data solutions . Leverage cloud data platforms like Snowflake for data warehousing and analytics (good to have). Qualifications 3–6 years of professional experience in data analysis or data engineering. Bachelor’s degree in computer science , Engineering, Data Science, Information Technology , or a related field. Strong proficiency in SQL with the ability to write complex queries and perform data modeling. Hands-on experience with Power BI for data visualization and business intelligence reporting. Programming knowledge in Python for data processing and analysis. Good understanding of ETL/ELT , data warehousing concepts, and cloud-based data ecosystems. Excellent problem-solving skills , attention to detail, and analytical thinking. Strong communication and interpersonal skills to work effectively with cross-functional teams . Preferred / Good to Have Experience working with large datasets and cloud platforms like Snowflake, Redshift, or BigQuery. Familiarity with workflow orchestration tools (e.g., Airflow) and version control systems (e.g., Git). Power BI Certification (e.g., PL-300: Microsoft Power BI Data Analyst). Exposure to Agile methodologies and end-to-end BI project life cycles. Benefits: Health Insurance Paid leave Technical training and certifications Robust learning and development opportunities Incentive Toastmasters Food Program Fitness Program Referral Bonus Program Hakkoda is committed to fostering diversity, equity, and inclusion within our teams. A diverse workforce enhances our ability to serve clients and enriches our culture. We encourage candidates of all races, genders, sexual orientations, abilities, and experiences to apply, creating a workplace where everyone can succeed and thrive. Ready to take your career to the next level? \uD83D\uDE80 \uD83D\uDCBB Apply today\uD83D\uDC47 and join a team that’s shaping the future!! Hakkoda is an IBM subsidiary which has been acquired by IBM and will be integrated in the IBM organization. Hakkoda will be the hiring entity. By Proceeding with this application, you understand that Hakkoda will share your personal information with other IBM subsidiaries involved in your recruitment process, wherever these are located. More information on how IBM protects your personal information, including the safeguards in case of cross-border data transfer, are available here.

Job Title: Data Analyst – AdTech (1+ Years Experience) Location: Hyderabad Experience Level: 2–3 Years Employment Type: Full-time Shift Timings: 5PM - 2AM IST About The Role We are looking for a highly motivated and detail-oriented Data Analyst with 1+ years of experience to join our AdTech analytics team. In this role, you will be responsible for working with large-scale advertising and digital media datasets, building robust data pipelines, querying and transforming data using GCP tools, and delivering insights through visualization platforms like Looker Studio, Looker, Tableau etc Key Responsibilities Analyze AdTech data (e.g., ads.txt, programmatic delivery, campaign performance, revenue metrics) to support business decisions. Design, develop, and maintain scalable data pipelines using GCP-native tools (e.g., Cloud Functions, Dataflow, Composer). Write and optimize complex SQL queries in BigQuery for data extraction and transformation. Build and maintain dashboards and reports in Looker Studio to visualize KPIs and campaign performance. Collaborate with cross-functional teams including engineering, operations, product, and client teams to gather requirements and deliver analytics solutions. Monitor data integrity, identify anomalies, and work on data quality improvements. Provide actionable insights and recommendations based on data analysis and trends. Required Qualifications 1+ years of experience in a data analytics or business intelligence role. Hands-on experience with AdTech datasets and understanding of digital advertising concepts. Strong proficiency in SQL, particularly with Google BigQuery. Experience building and managing data pipelines using Google Cloud Platform (GCP) tools. Proficiency in Looker Studio Strong problem-solving skills and attention to detail. Excellent communication skills with the ability to explain technical topics to non-technical stakeholders. Preferred Qualifications Experience with additional visualization tools such as Tableau, Power BI, or Looker (BI). Exposure to data orchestration tools like Apache Airflow (via Cloud Composer). Familiarity with Python for scripting or automation. Understanding of cloud data architecture and AdTech integrations (e.g., DV360, Ad Manager, Google Ads). Show more Show less

Responsibilities As a Data Engineer, you will design, develop, and support data pipelines and related data products and platforms. Your primary responsibilities include designing and building data extraction, loading, and transformation pipelines across on-prem and cloud platforms. You will perform application impact assessments, requirements reviews, and develop work estimates. Additionally, you will develop test strategies and site reliability engineering measures for data products and solutions, participate in agile development & solution reviews, mentor junior Data Engineering Specialists, lead the resolution of critical operations issues, and perform technical data stewardship tasks, including metadata management, security, and privacy by design. Required Skills: ● Design, develop, and support data pipelines and related data products and platforms. ● Design and build data extraction, loading, and transformation pipelines and data products across on- prem and cloud platforms. ● Perform application impact assessments, requirements reviews, and develop work estimates. ● Develop test strategies and site reliability engineering measures for data products and solutions. ● Participate in agile development and solution reviews. ● Mentor junior Data Engineers. ● Lead the resolution of critical operations issues, including post-implementation reviews. ● Perform technical data stewardship tasks, including metadata management, security, and privacy by design. ● Design and build data extraction, loading, and transformation pipelines using Python and other GCP Data Technologies ● Demonstrate SQL and database proficiency in various data engineering tasks. ● Automate data workflows by setting up DAGs in tools like Control-M, Apache Airflow, and Prefect. ● Develop Unix scripts to support various data operations. ● Model data to support business intelligence and analytics initiatives. ● Utilize infrastructure-as-code tools such as Terraform, Puppet, and Ansible for deployment automation. ● Expertise in GCP data warehousing technologies, including BigQuery, Cloud SQL, Dataflow, Data Catalog, Cloud Composer, Google Cloud Storage, IAM, Compute Engine, Cloud Data Fusion and Dataproc (good to have). Qualifications: ● Bachelor's degree in Software Engineering, Computer Science, Business, Mathematics, or related field. ● 4+ years of data engineering experience. ● 2 years of data solution architecture and design experience. ● GCP Certified Data Engineer (preferred). Interested candidates can send their resumes to riyanshi@etelligens.in Show more Show less

Introduction In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology Your Role And Responsibilities Create Solution Outline and Macro Design to describe end to end product implementation in Data Platforms including, System integration, Data ingestion, Data processing, Serving layer, Design Patterns, Platform Architecture Principles for Data platform. Contribute to pre-sales, sales support through RfP responses, Solution Architecture, Planning and Estimation. Contribute to reusable components / asset / accelerator development to support capability development Participate in Customer presentations as Platform Architects / Subject Matter Experts on Big Data, Azure Cloud and related technologies Participate in customer PoCs to deliver the outcomes Participate in delivery reviews / product reviews, quality assurance and work as design authority Preferred Education Non-Degree Program Required Technical And Professional Expertise Experience in designing of data products providing descriptive, prescriptive, and predictive analytics to end users or other systems Experience in data engineering and architecting data platforms. Experience in architecting and implementing Data Platforms Azure Cloud Platform Experience on Azure cloud is mandatory (ADLS Gen 1 / Gen2, Data Factory, Databricks, Synapse Analytics, Azure SQL, Cosmos DB, Event hub, Snowflake), Azure Purview, Microsoft Fabric, Kubernetes, Terraform, Airflow Experience in Big Data stack (Hadoop ecosystem Hive, HBase, Kafka, Spark, Scala PySpark, Python etc.) with Cloudera or Hortonworks Preferred Technical And Professional Experience Experience in architecting complex data platforms on Azure Cloud Platform and On-Prem Experience and exposure to implementation of Data Fabric and Data Mesh concepts and solutions like Microsoft Fabric or Starburst or Denodo or IBM Data Virtualisation or Talend or Tibco Data Fabric Exposure to Data Cataloging and Governance solutions like Collibra, Alation, Watson Knowledge Catalog, dataBricks unity Catalog, Apache Atlas, Snowflake Data Glossary etc Show more Show less

Full-time Company Description GFK - Growth from Knowledge. For over 89 years, we have earned the trust of our clients around the world by solving critical questions in their decision-making process. We fuel their growth by providing a complete understanding of their consumers’ buying behavior, and the dynamics impacting their markets, brands and media trends. In 2023, GfK combined with NIQ, bringing together two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights - delivered with advanced analytics through state-of-the-art platforms - GfK drives “Growth from Knowledge”. Job Description It's an exciting time to be a builder. Constant technological advances are creating an exciting new world for those who understand the value of data. The mission of NIQ’s Media Division is to turn NIQ into the global leader that transforms how consumer brands plan, activate and measure their media activities. Recombine is the delivery area focused on maximising the value of data assets in our NIQ Media Division. We apply advanced statistical and machine learning techniques to unlock deeper insights, whilst integrating data from multiple internal and external sources. Our teams develop data integration products across various markets and product areas, delivering enriched datasets that power client decision-making. Role Overview We are looking for a Principal Software Engineer for our Recombine delivery area to provide technical leadership within our development teams, ensuring best practices, architectural coherence, and effective collaboration across projects. This role is ideal for a highly experienced engineer who can bridge the gap between data engineering, data science, and software engineering, helping teams build scalable, maintainable, and well-structured data solutions. As a Principal Software Engineer, you will play a hands-on role in designing and implementing solutions while mentoring developers, influencing technical direction, and driving best practices in software and data engineering. This role includes line management responsibilities, ensuring the growth and development of team members. The role will be working within an AWS environment, leveraging the power of cloud-native technologies and modern data platforms Key Responsibilities Technical Leadership & Architecture Act as a technical architect, ensuring alignment between the work of multiple development teams in data engineering and data science. Design scalable, high-performance data processing solutions within AWS, considering factors such as governance, security, and maintainability. Drive the adoption of best practices in software development, including CI/CD, testing strategies, and cloud-native architecture. Work closely with Product Owners to translate business needs into technical solutions. Hands-on Development & Technical Excellence Lead by example through high-quality coding, code reviews, and proof-of-concept development. Solve complex engineering problems and contribute to critical design decisions. Ensure effective use of AWS services, including AWS Glue, AWS Lambda, Amazon S3, Redshift, and EMR. Develop and optimise data pipelines, data transformations, and ML workflows in a cloud environment. Line Management & Team Development Provide line management to engineers, ensuring their professional growth and development. Conduct performance reviews, set development goals, and mentor team members to enhance their skills. Foster a collaborative and high-performing engineering culture, promoting knowledge sharing and continuous improvement beyond team boundaries. Support hiring, onboarding, and career development initiatives within the engineering team. Collaboration & Cross-Team Coordination Act as the technical glue between data engineers, data scientists, and software developers, ensuring smooth integration of different components. Provide mentorship and guidance to developers, helping them level up their skills and technical understanding. Work with DevOps teams to improve deployment pipelines, observability, and infrastructure as code. Engage with stakeholders across the business, translating technical concepts into business-relevant insights. Governance, Security & Data Best Practices Champion data governance, lineage, and security across the platform. Advocate for and implement scalable data architecture patterns, such as Data Mesh, Lakehouse, or event-driven pipelines. Ensure compliance with industry standards, internal policies, and regulatory requirements. Qualifications Requirements & Experience Strong software engineering background with experience in designing and building production-grade applications in Python, Scala, Java, or similar languages. Proven experience with AWS-based data platforms, specifically AWS Glue, Redshift, Athena, S3, Lambda, and EMR. Expertise in Apache Spark and AWS Lake Formation, with experience building large-scale distributed data pipelines. Experience with workflow orchestration tools like Apache Airflow or AWS Step Functions. Cloud experience in AWS, including containerisation (Docker, Kubernetes, ECS, EKS) and infrastructure as code (Terraform, CloudFormation). Strong knowledge of modern software architecture, including microservices, event-driven systems, and distributed computing. Experience leading teams in an agile environment, with a strong understanding of CI/CD pipelines, automated testing, and DevOps practices. Excellent problem-solving and communication skills, with the ability to engage with both technical and non-technical stakeholders. Proven line management experience, including mentoring, career development, and performance management of engineering teams. Additional Information Our Benefits Flexible working environment Volunteer time off LinkedIn Learning Employee-Assistance-Program (EAP) About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: LinkedIn | Instagram | Twitter | Facebook Our commitment to Diversity, Equity, and Inclusion NIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide. Learn more about how we are driving diversity and inclusion in everything we do by visiting the NIQ News Center: https://nielseniq.com/global/en/news-center/diversity-inclusion I'm interested I'm interested Privacy Policy Show more Show less

What you’ll be doing: Assist in developing machine learning models based on project requirements Work with datasets by preprocessing, selecting appropriate data representations, and ensuring data quality. Performing statistical analysis and fine-tuning using test results. Support training and retraining of ML systems as needed. Help build data pipelines for collecting and processing data efficiently. Follow coding and quality standards while developing AI/ML solutions Contribute to frameworks that help operationalize AI models What we seek in you: 8+ years of experience in IT Industry Strong on programming languages like Python One cloud hands-on experience (GCP preferred) Experience working with Dockers Environments managing (e.g venv, pip, poetry, etc.) Experience with orchestrators like Vertex AI pipelines, Airflow, etc Understanding of full ML Cycle end-to-end Data engineering, Feature Engineering techniques Experience with ML modelling and evaluation metrics Experience with Tensorflow, Pytorch or another framework Experience with Models monitoring Advance SQL knowledge Aware of Streaming concepts like Windowing, Late arrival, Triggers etc Storage: CloudSQL, Cloud Storage, Cloud Bigtable, Bigquery, Cloud Spanner, Cloud DataStore, Vector database Ingest: Pub/Sub, Cloud Functions, AppEngine, Kubernetes Engine, Kafka, Micro services Schedule: Cloud Composer, Airflow Processing: Cloud Dataproc, Cloud Dataflow, Apache Spark, Apache Flink CI/CD: Bitbucket+Jenkins / Gitlab, Infrastructure as a tool: Terraform Life at Next: At our core, we're driven by the mission of tailoring growth for our customers by enabling them to transform their aspirations into tangible outcomes. We're dedicated to empowering them to shape their futures and achieve ambitious goals. To fulfil this commitment, we foster a culture defined by agility, innovation, and an unwavering commitment to progress. Our organizational framework is both streamlined and vibrant, characterized by a hands-on leadership style that prioritizes results and fosters growth. Perks of working with us: Clear objectives to ensure alignment with our mission, fostering your meaningful contribution. Abundant opportunities for engagement with customers, product managers, and leadership. You'll be guided by progressive paths while receiving insightful guidance from managers through ongoing feedforward sessions. Cultivate and leverage robust connections within diverse communities of interest. Choose your mentor to navigate your current endeavors and steer your future trajectory. Embrace continuous learning and upskilling opportunities through Nexversity. Enjoy the flexibility to explore various functions, develop new skills, and adapt to emerging technologies. Embrace a hybrid work model promoting work-life balance. Access comprehensive family health insurance coverage, prioritizing the well-being of your loved ones. Embark on accelerated career paths to actualize your professional aspirations. Who we are? We enable high growth enterprises build hyper personalized solutions to transform their vision into reality. With a keen eye for detail, we apply creativity, embrace new technology and harness the power of data and AI to co-create solutions tailored made to meet unique needs for our customers. Join our passionate team and tailor your growth with us!

What you’ll be doing: Assist in developing machine learning models based on project requirements Work with datasets by preprocessing, selecting appropriate data representations, and ensuring data quality. Performing statistical analysis and fine-tuning using test results. Support training and retraining of ML systems as needed. Help build data pipelines for collecting and processing data efficiently. Follow coding and quality standards while developing AI/ML solutions Contribute to frameworks that help operationalize AI models What we seek in you: Strong on programming languages like Python, Java One cloud hands-on experience (GCP preferred) Experience working with Dockers Environments managing (e.g venv, pip, poetry, etc.) Experience with orchestrators like Vertex AI pipelines, Airflow, etc Understanding of full ML Cycle end-to-end Data engineering, Feature Engineering techniques Experience with ML modelling and evaluation metrics Experience with Tensorflow, Pytorch or another framework Experience with Models monitoring Advance SQL knowledge Aware of Streaming concepts like Windowing, Late arrival, Triggers etc Storage: CloudSQL, Cloud Storage, Cloud Bigtable, Bigquery, Cloud Spanner, Cloud DataStore, Vector database Ingest: Pub/Sub, Cloud Functions, AppEngine, Kubernetes Engine, Kafka, Micro services Schedule: Cloud Composer, Airflow Processing: Cloud Dataproc, Cloud Dataflow, Apache Spark, Apache Flink CI/CD: Bitbucket+Jenkins / Gitlab, Infrastructure as a tool: Terraform Life at Next: At our core, we're driven by the mission of tailoring growth for our customers by enabling them to transform their aspirations into tangible outcomes. We're dedicated to empowering them to shape their futures and achieve ambitious goals. To fulfil this commitment, we foster a culture defined by agility, innovation, and an unwavering commitment to progress. Our organizational framework is both streamlined and vibrant, characterized by a hands-on leadership style that prioritizes results and fosters growth. Perks of working with us: Clear objectives to ensure alignment with our mission, fostering your meaningful contribution. Abundant opportunities for engagement with customers, product managers, and leadership. You'll be guided by progressive paths while receiving insightful guidance from managers through ongoing feedforward sessions. Cultivate and leverage robust connections within diverse communities of interest. Choose your mentor to navigate your current endeavors and steer your future trajectory. Embrace continuous learning and upskilling opportunities through Nexversity. Enjoy the flexibility to explore various functions, develop new skills, and adapt to emerging technologies. Embrace a hybrid work model promoting work-life balance. Access comprehensive family health insurance coverage, prioritizing the well-being of your loved ones. Embark on accelerated career paths to actualize your professional aspirations. Who we are? We enable high growth enterprises build hyper personalized solutions to transform their vision into reality. With a keen eye for detail, we apply creativity, embrace new technology and harness the power of data and AI to co-create solutions tailored made to meet unique needs for our customers. Join our passionate team and tailor your growth with us!

Experience: 5+ Years Role Overview: Responsible for designing, building, and maintaining scalable data pipelines and architectures. This role requires expertise in SQL, ETL frameworks, big data technologies, cloud services, and programming languages to ensure efficient data processing, storage, and integration across systems. Requirements: • Minimum 5+ years of experience as a Data Engineer or similar data-related role. • Strong proficiency in SQL for querying databases and performing data transformations. • Experience with data pipeline frameworks (e.g., Apache Airflow, Luigi, or custom-built solutions). • Proficiency in at least one programming language such as Python, Java, or Scala for data processing tasks. • Experience with cloud-based data services and Datalakes (e.g., Snowflake, Databricks, AWS S3, GCP BigQuery, or Azure Data Lake). • Familiarity with big data technologies (e.g., Hadoop, Spark, Kafka). • Experience with ETL tools (e.g., Talend, Apache NiFi, SSIS, etc.) and data integration techniques. • Knowledge of data warehousing concepts and database design principles. • Good understanding of NoSQL and Big Data Technologies like MongoDB, Cassandra, Spark, Hadoop, Hive, • Experience with data modeling and schema design for OLAP and OLTP systems. • Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes). Educational Qualification: Bachelor’s/Master’s degree in computer science, Information Technology, or a related field. Show more Show less

Job Description Senior Specialist, Data and Analytics Architect THE OPPORTUNITY Based in Hyderabad, join a global healthcare biopharma company and be part of a 130-year legacy of success backed by ethical integrity, forward momentum, and an inspiring mission to achieve new milestones in global healthcare. Lead an Organization driven by digital technology and data-backed approaches that supports a diversified portfolio of prescription medicines, vaccines, and animal health products. Drive innovation and execution excellence. Be the leaders who have a passion for using data, analytics, and insights to drive decision-making, which will allow us to tackle some of the world's greatest health threats. Our Technology centers focus on creating a space where teams can come together to deliver business solutions that save and improve lives. AN integral part of our company IT operating model, Tech centers are globally distributed locations where each IT division has employees to enable our digital transformation journey and drive business outcomes. These locations, in addition to the other sites, are essential to supporting our business and strategy. A focused group of leaders in each tech center helps to ensure we can manage and improve each location, from investing in growth, success, and well-being of our people, to making sure colleagues from each IT division feel a sense of belonging to managing critical emergencies. And together, we must leverage the strength of our team to collaborate globally to optimize connections and share best practices across the Tech Centers. Role Overview We are seeking a talented and motivated Technical Architect to join our Data and Analytics Strategy & Architecture team. Reporting to the Lead Architect, this mid-level Technical Architect role is critical in shaping the technical foundation of our cross-product architecture. The ideal candidate will focus on reference architecture, driving proofs of concept (POCs) and points of view (POVs), staying updated on industry trends, solving technical architecture issues, and enabling a robust data observability framework. The role will also emphasize enterprise data marketplaces and data catalogs to ensure data accessibility, governance, and usability. This position will also focus on creating a customer-centric development environment that is resilient and easily adoptable by various user personas. The outcome of the cross-product integration will be improved efficiency and productivity through accelerated provisioning times and a seamless user experience, eliminating the need for interacting with multiple platforms and teams. What Will You Do In The Role Collaborate with product line teams to design and implement cohesive architecture solutions that enable cross-product integration, spanning ingestion, governance, analytics, and visualization. Develop, maintain, and advocate for reusable reference architectures that align with organizational goals and industry standards. Lead technical POCs and POVs to evaluate new technologies, tools, and methodologies, providing actionable recommendations. Diagnose and resolve complex technical architecture issues, ensuring stability, scalability, and performance across platforms. Implement and maintain frameworks to monitor data quality, lineage, and reliability across data pipelines. Contribute to the design and implementation of an enterprise data marketplace to facilitate self-service data discovery, analytics, and consumption. Oversee and extend the use of Collibra or similar tools to enhance metadata management, data governance, and cataloging across the enterprise. Monitor emerging industry trends in data and analytics (e.g., AI/ML, data engineering, cloud platforms) and identify opportunities to incorporate them into our ecosystem. Work closely with data engineers, data scientists, and other architects to ensure alignment with the enterprise architecture strategy. Create and maintain technical documentation, including architecture diagrams, decision records, and POC/POV results. What Should You Have Strong experience with Databricks, Dataiku, Starburst and related data engineering/analytics platforms. Proficiency in AWS cloud platforms and AWS Data and Analytics technologies Knowledge of modern data architecture patterns like data Lakehouse, data mesh, or data fabric. Hands-on experience with Collibra or similar data catalog tools for metadata management and governance. Familiarity with data observability tools and frameworks to monitor data quality and reliability. Experience contributing to or implementing enterprise data marketplaces, including facilitating self-service data access and analytics. Exposure to designing and implementing scalable, distributed architectures. Proven experience in diagnosing and resolving technical issues in complex systems. Passion for exploring and implementing innovative tools and technologies in data and analytics. 3–5 years of total experience in data engineering, analytics, or architecture roles. Hands-on experience with developing ETL pipelines with DBT, Matillion and Airflow. Experience with data modeling, and data visualization tools (e.g., ThoughtSpot, Power BI). Strong communication and collaboration skills. Ability to work in a fast-paced, cross-functional environment. Focus on continuous learning and professional growth. Preferred Skills Certification in Databricks, Dataiku, or a major cloud platform. Experience with orchestration tools like Airflow or Prefect. Understanding of AI/ML workflows and platforms. Exposure to frameworks like Apache Spark or Kubernetes. Our technology teams operate as business partners, proposing ideas and innovative solutions that enable new organizational capabilities. We collaborate internationally to deliver services and solutions that help everyone be more productive and enable innovation Who We Are We are known as Merck & Co., Inc., Rahway, New Jersey, USA in the United States and Canada and MSD everywhere else. For more than a century, we have been inventing for life, bringing forward medicines and vaccines for many of the world's most challenging diseases. Today, our company continues to be at the forefront of research to deliver innovative health solutions and advance the prevention and treatment of diseases that threaten people and animals around the world. What We Look For Imagine getting up in the morning for a job as important as helping to save and improve lives around the world. Here, you have that opportunity. You can put your empathy, creativity, digital mastery, or scientific genius to work in collaboration with a diverse group of colleagues who pursue and bring hope to countless people who are battling some of the most challenging diseases of our time. Our team is constantly evolving, so if you are intellectually curious, join us—and start making your impact today. Current Employees apply HERE Current Contingent Workers apply HERE Search Firm Representatives Please Read Carefully Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. Employee Status Regular Relocation VISA Sponsorship Travel Requirements Flexible Work Arrangements Hybrid Shift Valid Driving License Hazardous Material(s) Required Skills Business Enterprise Architecture (BEA), Business Process Modeling, Data Modeling, Emerging Technologies, Requirements Management, Solution Architecture, Stakeholder Relationship Management, Strategic Planning, System Designs Preferred Skills Job Posting End Date 07/3/2025 A job posting is effective until 11 59 59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date. Requisition ID R345601 Show more Show less

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Software Engineering Job Details About Salesforce We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place. As an engineering leader, you will focus on developing the team around you. Bring your technical chops to drive your teams to success around feature delivery and live-site management for a complex cloud infrastructure service. You are as enthusiastic about recruiting and building a team as you are about challenging technical problems that your team will solve. You will also help shape, direct and execute our product vision. You’ll be challenged to blend customer-centric principles, industry-changing innovation, and the reliable delivery of new technologies. You will work directly with engineering, product, and design, to create experiences that reinforce the Salesforce brand by delighting and wowing our customers with highly reliable and available services. Responsibilities Drive the vision of enabling a full suite of Salesforce applications on Google Cloud in collaboration with teams across geographies. Build and lead a team of engineers to deliver cloud framweoks, infrastructure automation tools, workflows, and validation platforms on our public cloud platforms. Solid experience in building and evolving large scale distributed systems to reliably process billions of data points Proactively identify reliability & data quality problems and drive triaging and remediation process. Invest in continuous employee development of a highly technical team by mentoring and coaching engineers and technical leads in the team. Recruit and attract top talent. Drive execution and delivery by collaborating with cross functional teams, architects, product owners and engineers. Experience managing 2+ engineering teams. Experience building services on public cloud platforms like GCP, AWS, Azure Required Skills/Experiences B.S/M.S. in Computer Sciences or equivalent field. 12+ years of relevant experience in software development teams with 5+ years of experience managing teams Passionate, curious, creative, self-starter and approach problems with right methodology and intelligent decisions. Laser focus on impact, balancing effort to value, and getting things done. Experience providing mentorship, technical leadership, and guidance to team members. Strong customer service orientation and a desire to help others succeed. Top notch written and oral communication skills. Desired Skills/Experiences Working knowledge of modern technologies/services on public cloud is desirable Experience with container orchestration systems Kubernetes, Docker, Helios, Fleet Expertise in open source technologies like Elastic Search, Logstash, Kakfa, MongoDB, Hadoop, Spark, Trino/Presto, Hive, Airflow, Splunk Benefits & Perks Comprehensive benefits package including well-being reimbursement, generous parental leave, adoption assistance, fertility benefits, and more! World-class enablement and on-demand training with Trailhead.com Exposure to executive thought leaders and regular 1:1 coaching with leadership Volunteer opportunities and participation in our 1:1:1 model for giving back to the community For more details, visit https://www.salesforcebenefits.com/ Accommodations If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form. Posting Statement Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education. Show more Show less