The Windows Data Team is responsible for developing and operating one of the world’s largest data eco-systems: PiB data is being processed, stored and accessed every day. In addition to Azure, Fabric, and Microsoft offerings, the team also utilizes modern open-source technologies such as Spark, Starrocks, and ClickHouse. Thousands of developers in Windows, Bing, Ads, Edge, MSN, etc. are working on top of the data products that the team builds. We’re looking for passionate engineers to join us for the mission of powering Microsoft businesses through data substrate and infusing our data capabilities into the industry. We are looking for a Principal Software Engineering Manager who can lead a team to design, develop, and maintain data pipelines and applications using Spark, SQL, map-reduce, and other technologies on our big data platforms. You will work with a team of data scientists, analysts, and engineers to deliver high-quality data solutions that support our business goals and customer needs. You will also collaborate with other teams across the organization to ensure data quality, security, and compliance. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities Lead a team of software developers to develop and optimize data pipelines and applications using Spark, Cosmos, Azure, SQL, and other frameworks. Implement data ingestion, transformation, and processing logic using various data sources and formats. Perform data quality checks, testing, and debugging to ensure data accuracy and reliability. Document and maintain data pipeline specifications, code, and best practices. Research and evaluate new data technologies and tools to improve data performance and scalability. Work with world-class engineer/scientist team on Big Data, Analytics and OLAP/OLTP. Embrace both Microsoft technology and cutting-edge open-source technology. Qualifications Required Qualifications: Bachelor's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Master's Degree in Computer Science or related technical field AND 10+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. 4+ years people management experience. Demonstrate working knowledge of cloud and distributed computing platforms such as Azure or AWS. Strong knowledge and experience with Map Reduce, Spark, Kafka, Synapse, Fabric, or other data processing frameworks. Fluent in English, both written and spoken. Preferred Qualifications: Experience with CosmosDB or other NoSQL databases is a plus. Experience in data engineering, data analysis, or data related fields. Experience with data science and ML tools such as Scikit-learn, R, Azure AI, Pyspark, or similar. Experience with data modeling, data warehousing, and ETL techniques. Experience in designing, developing, and shipping services with secure continuous integration and continuous delivery practices (CI/CD). Relational and/or non-relational (NoSQL) databases. C/C++ and lower-level languages are a plus. #W+Djobs #WindowsIndia #WDXIndia Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Req ID: 327061 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a python,pySpark,ApacheSpark to join our team in Hyderabad, Telangana (IN-TG), India (IN). "At NTT DATA, we know that with the right people on board, anything is possible. The quality, integrity, and commitment of our employees are key factors in our company's growth, market presence and our ability to help our clients stay a step ahead of the competition. By hiring, the best people and helping them grow both professionally and personally, we ensure a bright future for NTT DATA and for the people who work here. NTT DATA Services currently seeks Python Developer to join our team in Hyderabad, India" Design and build ETL solutions with experience in data engineering, data modelling in large-scale in both batch and real-time environments. Skills required: Python, PySpark, Apache Spark, Unix Shell Scripting, GCP, Big query, MongoDB, Kafka event streaming, API development, CI/CD. For software engineering 3: 6+yrs Mandate :Apache spark with python, pyspark, GCP with big query, database Secondary mandate: Abinitio ETL Good to have : Unix shell scripting & Kafka event streaming" About NTT DATA NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.

Job description About this role Want to elevate your career by being a part of the world's largest asset manager? Do you thrive in an environment that fosters positive relationships and recognizes stellar service? Are analyzing complex problems and identifying solutions your passion? Look no further. BlackRock is currently seeking a candidate to become part of our Global Investment Operations Data Engineering team. We recognize that strength comes from diversity, and will embrace your rare skills, eagerness, and passion while giving you the opportunity to grow professionally and as an individual. We know you want to feel valued every single day and be recognized for your contribution. At BlackRock, we strive to empower our employees and actively engage your involvement in our success. With over USD $11.5 trillion of assets under management, we have an extraordinary responsibility: our technology and services empower millions of investors to save for retirement, pay for college, buy a home and improve their financial well-being. Come join our team and experience what it feels like to be part of an organization that makes a difference. Technology & Operations Technology & Operations(T&O) is responsible for the firm's worldwide operations across all asset classes and geographies. The operational functions are aligned with clients, products, fund structures and our Third-party provider networks. Within T&O, Global Investment Operations (GIO) is responsible for the development of the firm's operating infrastructure to support BlackRock's investment businesses worldwide. GIO spans Trading & Market Documentation, Transaction Management, Collateral Management & Payments, Asset Servicing including Corporate Actions and Cash & Asset Operations, and Securities Lending Operations. GIO provides operational service to BlackRock's Portfolio Managers and Traders globally as well as industry leading service to our end clients. GIO Engineering Working in close partnership with GIO business users and other technology teams throughout Blackrock, GIO Engineering is responsible for developing and providing data and software solutions that support GIO business processes globally. GIO Engineering solutions combine technology, data, and domain expertise to drive exception-based, function-agnostic, service-orientated workflows, data pipelines, and management dashboards. The Role – GIO Engineering Data Lead Work to date has been focused on building out robust data pipelines and lakes relevant to specific business functions, along with associated pools and Tableau / PowerBI dashboards for internal BlackRock clients. The next stage in the project involves Azure / Snowflake integration and commercializing the offering so BlackRock’s 150+ Aladdin clients can leverage the same curated data products and dashboards that are available internally. The successful candidate will contribute to the technical design and delivery of a curated line of data products, related pipelines, and visualizations in collaboration with SMEs across GIO, Technology and Operations, and the Aladdin business. Responsibilities Specifically, we expect the role to involve the following core responsibilities and would expect a successful candidate to be able to demonstrate the following (not in order of priority) Design, develop and maintain a Data Analytics Infrastructure Work with a project manager or drive the project management of team deliverables Work with subject matter experts and users to understand the business and their requirements. Help determine the optimal dataset and structure to deliver on those user requirements Work within a standard data / technology deployment workflow to ensure that all deliverables and enhancements are provided in a disciplined, repeatable, and robust manner Work with team lead to understand and help prioritize the team’s queue of work Automate periodic (daily/weekly/monthly/Quarterly or other) reporting processes to minimize / eliminate associated developer BAU activities. Leverage industry standard and internal tooling whenever possible in order to reduce the amount of custom code that requires maintenance Experience 3+ years of experience in writing ETL, data curation and analytical jobs using Hadoop-based distributed computing technologies: Spark / PySpark, Hive, etc. 3+ years of knowledge and Experience of working with large enterprise databases preferably Cloud bases data bases/ data warehouses like Snowflake on Azure or AWS set-up Knowledge and Experience in working with Data Science / Machine / Gen AI Learning frameworks in Python, Azure/ openAI, meta tec. Knowledge and Experience building reporting and dashboards using BI Tools: Tableau, MS PowerBI, etc. Prior Experience working on Source Code version Management tools like GITHub etc. Prior experience working with and following Agile-based workflow paths and ticket-based development cycles Prior Experience setting-up infrastructure and working on Big Data analytics Strong analytical skills with the ability to collect, organize, analyse, and disseminate significant amounts of information with attention to detail and accuracy Experience working with SMEs / Business Analysts, and working with Stakeholders for sign-off Our benefits To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about. Our hybrid work model BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock. About BlackRock At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress. This mission would not be possible without our smartest investment – the one we make in our employees. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive. For additional information on BlackRock, please visit @blackrock | Twitter: @blackrock | LinkedIn: www.linkedin.com/company/blackrock BlackRock is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to age, disability, family status, gender identity, race, religion, sex, sexual orientation and other protected attributes at law. Job Requisition # R254094

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations Responisibilities: Databricks Engineers Requirements: Total Experience: 5-8 years with 4+ years of relevant experience Skills: Proficiency on Databricks platform Strong hands-on experience with Pyspark , SQL, and Python Any cloud - Azure, AWS, GCP Certifications (Any of the following): Databricks Certified Associate Developer for Spark 3.0 - Preferred Databricks Certified Data Engineer Associate Databricks Certified Data Engineer Professional Location: Bangalore Mandatory Skill Sets Databricks, Pyspark, SQL,Python, Any cloud - Azure, AWS, GCP Preferred Skill Sets Related CeCeritfication - •Databricks Certified Associate Developer for Spark 3.0 - Preferred •Databricks Certified Data Engineer Associate •Databricks Certified Data Engineer Professional Year of Experience required 5 to 8 years Education Qualification BE, B.Tech, ME, M,Tech, MBA, MCA Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Master of Engineering, Master of Business Administration, Bachelor of Engineering Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Databricks Platform Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Inclusion, Industry Trend Analysis {+ 16 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date

Join us as a Software Engineer - PySpark This is an opportunity for a driven Software Engineer to take on an exciting new career challenge Day-to-day, you'll be engineering and maintaining innovative, customer centric, high performance, secure and robust solutions It’s a chance to hone your existing technical skills and advance your career while building a wide network of stakeholders What you'll do In your new role, you’ll be working within a feature team to engineer software, scripts and tools, as well as liaising with other engineers, architects and business analysts across the platform. You’ll also be: Producing complex and critical software rapidly and of high quality which adds value to the business Working in permanent teams who are responsible for the full life cycle, from initial development, through enhancement and maintenance to replacement or decommissioning Collaborating to optimise our software engineering capability Designing, producing, testing and implementing our working software solutions Working across the life cycle, from requirements analysis and design, through coding to testing, deployment and operations The skills you'll need To take on this role, you’ll need a background in software engineering, software design, and architecture, and an understanding of how your area of expertise supports our customers. You'll need four to seven years of experience in Pyspark, Python, AWS, SQL and Tableau. You'll also need experience in developing and supporting ETL pipelines and tableau reporting. You’ll also need: Experience of working with development and testing tools, bug tracking tools and wikis Experience in multiple programming languages or low code toolsets Experience of DevOps and Agile methodology and associated toolsets A background in solving highly complex, analytical and numerical problems Experience of implementing programming best practice, especially around scalability, automation, virtualisation, optimisation, availability and performance

Unlock Your Potential With IGNEK Welcome to IGNEK, where we combine innovation and passion! We want our workplace to help you grow professionally and appreciate the special things each person brings. Come with us as we use advanced technology to make a positive difference. At IGNEK, we know our success comes from our team’s talent and hard work. Celebrate Successes Harness Your Skills Experience Growth Together Work, Learn, Celebrate Appreciate Unique Contributions Get Started Culture & Values Our Culture & values guide our actions and define our principles. Growth Learn and grow with us. We’re committed to providing opportunities for you to excel and expand your horizons. Transparency We are very transparent in terms of work, culture and communication to build trust and strong bonding among employees, teams and managers. People First Our success is all about our people. We care about your well-being and value diversity in our inclusive workplace. Be a team Team Work is our strength. Embrace a “Be a Team” mindset, valuing collective success over individual triumphs. Together, we can overcome challenges and reach new heights. Perks & Benefits Competitive flexibility and comprehensive benefits prioritize your well-being. Creative programs, professional development, and a vibrant work-life balance ensure your success is our success. 5 Days Working Festival Celebration Rewards & Benefits Certification Program Skills Improvement Referral Program Friendly Work Culture Training & Development Enterprise Projects Leave Carry Forward Yearly Trip Hybrid Work Fun Activities Indoor | Outdoor Flexible Timing Reliable Growth Team Lunch Stay Happy Opportunity Work Life balance What Makes You Different? BE Authentic Stay true to yourself, it’s what sets you apart BE Proactive Take charge of your work, don’t wait for things to happen BE A Learner Keep an open mind and never stop seeking knowledge BE Professional Approach every task with diligence and integrity BE Innovative Think outside the box and push boundaries BE Passionate Let your enthusiasm light the path to success Senior Data Engineer (AWS Expert) Technology: Data Engineer Job Type: Full Time Job Location: Ahmedabad Experience: 5+ Years Location: Ahmedabad (On-site) Shift Time: 2 PM – 11 PM IST About Us: IGNEK is a fast-growing custom software development company with over a decade of industry experience and a passionate team of 25+ experts. We specialize in crafting end-to-end digital solutions that empower businesses to scale efficiently and stay ahead in an ever-evolving digital world. At IGNEK, we believe in quality, innovation, and a people-first approach to solving real-world challenges through technology. We are looking for a highly skilled and experienced Data Engineer with deep expertise in AWS cloud technologies and strong hands-on experience in backend development, data pipelines, and system design. The ideal candidate will take ownership of delivering robust and scalable solutions while collaborating closely with cross-functional teams and the tech lead. Key Responsibilities: Lead and manage the end-to-end implementation of cloud-native data solutions on AWS. Design, build, and maintain scalable data pipelines (PySpark/Spark) and data lake architectures (Delta Lake 3.0 or similar). Migrate on-premises systems to modern, scalable AWS-based services. end-to-end solutions. Participate in code reviews, agile ceremonies, and documentation. Engineer robust relational databases using Postgres or Oracle with a strong understanding of procedural languages. Collaborate with the tech lead to understand business requirements and deliver practical, scalable solutions. Integrate newly developed features following defined SDLC standards using CI/CD pipelines. Develop orchestration and automation workflows using tools like Apache Airflow. Ensure all solutions comply with security best practices, performance benchmarks, and cloud architecture standards. Monitor, debug, and troubleshoot issues across multiple environments. Stay current with new AWS features, services, and trends to drive continuous platform improvement. Required Skills & Qualifications: 5+ years of professional experience in data engineering and backend development. Strong expertise in Python, Scala, and PySpark. Deep knowledge of AWS services: EC2, S3, Lambda, RDS, Kinesis, IAM, API Gateway, and others. Hands-on experience with Postgres or Oracle, and building relational data stores. Experience with Spark clusters, Delta Lake, Glue Catalogue, and large-scale data processing. Proven track record of end-to-end project delivery and third-party system integrations. Solid understanding of microservices, serverless architectures, and distributed computing. Skilled in Java, Bash scripting, and search tools like Elasticsearch. Proficient in using CI/CD tools (e.g., GitLab, GitHub, AWS CodePipeline). Experience working with Infrastructure as Code (Iac) using Terraform. Hands-on experience with Docker, containerization, and cloud-native deployments. Preferred Qualifications: AWS Certifications (e.g., AWS Certified Solutions Architect or similar). Exposure to Agile/Scrum project methodologies. Familiarity with Kubernetes, advanced networking, and cloud security practices. Experience managing or collaborating with onshore/offshore teams. Preferred Qualifications: Excellent communication and stakeholder management. Strong leadership and problem-solving abilities. Team player with a collaborative mindset. High ownership and accountability in delivering quality outcomes.

As a Data Engineer , you are required to: Design, build, and maintain data pipelines that efficiently process and transport data from various sources to storage systems or processing environments while ensuring data integrity, consistency, and accuracy across the entire data pipeline. Integrate data from different systems, often involving data cleaning, transformation (ETL), and validation. Design the structure of databases and data storage systems, including the design of schemas, tables, and relationships between datasets to enable efficient querying. Work closely with data scientists, analysts, and other stakeholders to understand their data needs and ensure that the data is structured in a way that makes it accessible and usable. Stay up-to-date with the latest trends and technologies in the data engineering space, such as new data storage solutions, processing frameworks, and cloud technologies. Evaluate and implement new tools to improve data engineering processes. Qualification : Bachelor's or Master's in Computer Science & Engineering, or equivalent. Professional Degree in Data Science, Engineering is desirable. Experience level : At least 3 - 5 years hands-on experience in Data Engineering, ETL. Desired Knowledge & Experience : Spark: Spark 3.x, RDD/DataFrames/SQL, Batch/Structured Streaming Knowing Spark internals: Catalyst/Tungsten/Photon Databricks: Workflows, SQL Warehouses/Endpoints, DLT, Pipelines, Unity, Autoloader IDE: IntelliJ/Pycharm, Git, Azure Devops, Github Copilot Test: pytest, Great Expectations CI/CD Yaml Azure Pipelines, Continuous Delivery, Acceptance Testing Big Data Design: Lakehouse/Medallion Architecture, Parquet/Delta, Partitioning, Distribution, Data Skew, Compaction Languages: Python/Functional Programming (FP) SQL: TSQL/Spark SQL/HiveQL Storage: Data Lake and Big Data Storage Design additionally it is helpful to know basics of: Data Pipelines: ADF/Synapse Pipelines/Oozie/Airflow Languages: Scala, Java NoSQL: Cosmos, Mongo, Cassandra Cubes: SSAS (ROLAP, HOLAP, MOLAP), AAS, Tabular Model SQL Server: TSQL, Stored Procedures Hadoop: HDInsight/MapReduce/HDFS/YARN/Oozie/Hive/HBase/Ambari/Ranger/Atlas/Kafka Data Catalog: Azure Purview, Apache Atlas, Informatica Required Soft skills & Other Capabilities : Great attention to detail and good analytical abilities. Good planning and organizational skills Collaborative approach to sharing ideas and finding solutions Ability to work independently and also in a global team environment. Show more Show less

AV-230749 Indore,Madhya Pradesh,India Full-time Permanent Global Business Services DHL INFORMATION SERVICES (INDIA) LLP Your IT Future, Delivered Senior Software Engineer (Azure BI) Open to all PAN India candidates. With a global team of 5800 IT professionals, DHL IT Services connects people and keeps the global economy running by continuously innovating and creating sustainable digital solutions. We work beyond global borders and push boundaries across all dimensions of logistics. You can leave your mark shaping the technology backbone of the biggest logistics company of the world. Our offices in Cyberjaya, Prague, and Chennai have earned #GreatPlaceToWork certification, reflecting our commitment to exceptional employee experiences. Digitalization. Simply delivered. At IT Services, we are passionate about Azure Databricks and PySpark. Our PnP BI Solutions team is continuously expanding. No matter your level of Software Engineer Azure BI proficiency, you can always grow within our diverse environment. #DHL #DHLITServices #GreatPlace #pyspark #azuredatabricks #snowflakedatabase Grow together Timely delivery of DHL packages around the globe in a way that ensures customer data are secure is in the core of what we do. You will provide project deliverables and day-to-day operation support and help investigate and resolve incidents. Sometimes, requirements or issues might get tricky, and this is where your expertise in development or the cooperation on troubleshooting with other IT support teams and specialists will come into play. For any requirements regarding BI use cases in an Azure environment, you are our superhero. The same applies when it comes to production and incidents that need to be fixed. Ready to embark on the journey? Here’s what we are looking for: Practical experience in programming using SQL, PySpark(Python), Azure Databricks and Azure Data Factory Experience in administration and configuration of Databricks Cluster Experience with Snowflake Database Knowledge of Data Vault data modeling (if not: high motivation to learn the modeling approach). Experiences with Streaming APIs like Kafka, CI/CD, XML/JSON, ADLS2 A comprehensive understanding of public cloud platforms, with a preference for Microsoft Azure Proven ability to work in a multi-cultural environment An array of benefits for you: Flexible Work Guidelines. Flexible Compensation Structure. Global Work cultural & opportunities across geographies. Insurance Benefit - Health Insurance for family, parents & in-laws, Term Insurance (Life Cover), Accidental Insurance.

About The Role Grade Level (for internal use): 12 The Team You will be an expert contributor and part of the Rating Organization’s Data Services Product Engineering Team. This team, who has a broad and expert knowledge on Ratings organization’s critical data domains, technology stacks and architectural patterns, fosters knowledge sharing and collaboration that results in a unified strategy. All Data Services team members provide leadership, innovation, timely delivery, and the ability to articulate business value. Be a part of a unique opportunity to build and evolve S&P Ratings next gen analytics platform. Responsibilities Responsibilities: Architect, design, and implement innovative software solutions to enhance S&P Ratings' cloud-based analytics platform. Mentor a team of engineers (as required), fostering a culture of trust, continuous growth, and collaborative problem-solving. Collaborate with business partners to understand requirements, ensuring technical solutions align with business goals. Manage and improve existing software solutions, ensuring high performance and scalability. Participate actively in all Agile scrum ceremonies, contributing to the continuous improvement of team processes. Produce comprehensive technical design documents and conduct technical walkthroughs. Experience & Qualifications Bachelor’s degree in computer science, Information Systems, Engineering, equivalent or more is required Proficient with software development lifecycle (SDLC) methodologies like Agile, Test-driven development Total 12+ years of experience with 8+ years designing enterprise products, modern data stacks and analytics platforms 6+ years of hands-on experience contributing to application architecture & designs, proven software/enterprise integration design patterns and full-stack knowledge including modern distributed front end and back-end technology stacks 5+ years full stack development experience in modern web development technologies, Java/J2EE, UI frameworks like Angular, React, SQL, Oracle, NoSQL Databases like MongoDB Exp. with Delta Lake systems like Databricks using AWS cloud technologies and PySpark is a plus Experience designing transactional/data warehouse/data lake and data integrations with Big data eco system leveraging AWS cloud technologies Thorough understanding of distributed computing Passionate, smart, and articulate developer Quality first mindset with a strong background and experience with developing products for a global audience at scale Excellent analytical thinking, interpersonal, oral and written communication skills with strong ability to influence both IT and business partners Superior knowledge of system architecture, object-oriented design, and design patterns. Good work ethic, self-starter, and results-oriented Excellent communication skills are essential, with strong verbal and writing proficiencies Additional Preferred Qualifications Experience working AWS Experience with SAFe Agile Framework Bachelor's/PG degree in Computer Science, Information Systems or equivalent. Hands-on experience contributing to application architecture & designs, proven software/enterprise integration design principles Ability to prioritize and manage work to critical project timelines in a fast-paced environment Excellent Analytical and communication skills are essential, with strong verbal and writing proficiencies Ability to train and mentor About S&P Global Ratings At S&P Global Ratings, our analyst-driven credit ratings, research, and sustainable finance opinions provide critical insights that are essential to translating complexity into clarity so market participants can uncover opportunities and make decisions with conviction. By bringing transparency to the market through high-quality independent opinions on creditworthiness, we enable growth across a wide variety of organizations, including businesses, governments, and institutions. S&P Global Ratings is a division of S&P Global (NYSE: SPGI). S&P Global is the world’s foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets. With every one of our offerings, we help many of the world’s leading organizations navigate the economic landscape so they can plan for tomorrow, today. For more information, visit www.spglobal.com/ratings What’s In It For You? Our Purpose Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our Benefits Include Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Inclusive Hiring And Opportunity At S&P Global At S&P Global, we are committed to fostering an inclusive workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and equal opportunity, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. S&P Global has a Securities Disclosure and Trading Policy (“the Policy”) that seeks to mitigate conflicts of interest by monitoring and placing restrictions on personal securities holding and trading. The Policy is designed to promote compliance with global regulations. In some Divisions, pursuant to the Policy’s requirements, candidates at S&P Global may be asked to disclose securities holdings. Some roles may include a trading prohibition and remediation of positions when there is an effective or potential conflict of interest. Employment at S&P Global is contingent upon compliance with the Policy. Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning) Job ID: 312491 Posted On: 2025-04-07 Location: Mumbai, Maharashtra, India Show more Show less

About The Role Grade Level (for internal use): 11 The Team You will be an expert contributor and part of the Rating Organization’s Data Services Product Engineering Team. This team, who has a broad and expert knowledge on Ratings organization’s critical data domains, technology stacks and architectural patterns, fosters knowledge sharing and collaboration that results in a unified strategy. All Data Services team members provide leadership, innovation, timely delivery, and the ability to articulate business value. Be a part of a unique opportunity to build and evolve S&P Ratings next gen analytics platform. Responsibilities Responsibilities: Architect, design, and implement innovative software solutions to enhance S&P Ratings' cloud-based analytics platform. Mentor a team of engineers (as required), fostering a culture of trust, continuous growth, and collaborative problem-solving. Collaborate with business partners to understand requirements, ensuring technical solutions align with business goals. Manage and improve existing software solutions, ensuring high performance and scalability. Participate actively in all Agile scrum ceremonies, contributing to the continuous improvement of team processes. Produce comprehensive technical design documents and conduct technical walkthroughs. Experience & Qualifications Bachelor’s degree in computer science, Information Systems, Engineering, equivalent or more is required Proficient with software development lifecycle (SDLC) methodologies like Agile, Test-driven development 10+ years of experience with 4+ years designing/developing enterprise products, modern tech stacks and data platforms 4+ years of hands-on experience contributing to application architecture & designs, proven software/enterprise integration design patterns and full-stack knowledge including modern distributed front end and back-end technology stacks 5+ years full stack development experience in modern web development technologies, Java/J2EE, UI frameworks like Angular, React, SQL, Oracle, NoSQL Databases like MongoDB Experience designing transactional/data warehouse/data lake and data integrations with Big data eco system leveraging AWS cloud technologies Thorough understanding of distributed computing Passionate, smart, and articulate developer Quality first mindset with a strong background and experience with developing products for a global audience at scale Excellent analytical thinking, interpersonal, oral and written communication skills with strong ability to influence both IT and business partners Superior knowledge of system architecture, object-oriented design, and design patterns. Good work ethic, self-starter, and results-oriented Excellent communication skills are essential, with strong verbal and writing proficiencies Exp. with Delta Lake systems like Databricks using AWS cloud technologies and PySpark is a plus Additional Preferred Qualifications Experience working AWS Experience with SAFe Agile Framework Bachelor's/PG degree in Computer Science, Information Systems or equivalent. Hands-on experience contributing to application architecture & designs, proven software/enterprise integration design principles Ability to prioritize and manage work to critical project timelines in a fast-paced environment Excellent Analytical and communication skills are essential, with strong verbal and writing proficiencies Ability to train and mentor About S&P Global Ratings At S&P Global Ratings, our analyst-driven credit ratings, research, and sustainable finance opinions provide critical insights that are essential to translating complexity into clarity so market participants can uncover opportunities and make decisions with conviction. By bringing transparency to the market through high-quality independent opinions on creditworthiness, we enable growth across a wide variety of organizations, including businesses, governments, and institutions. S&P Global Ratings is a division of S&P Global (NYSE: SPGI). S&P Global is the world’s foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets. With every one of our offerings, we help many of the world’s leading organizations navigate the economic landscape so they can plan for tomorrow, today. For more information, visit www.spglobal.com/ratings What’s In It For You? Our Purpose Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our Benefits Include Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Global Hiring And Opportunity At S&P Global At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. S&P Global has a Securities Disclosure and Trading Policy (“the Policy”) that seeks to mitigate conflicts of interest by monitoring and placing restrictions on personal securities holding and trading. The Policy is designed to promote compliance with global regulations. In some Divisions, pursuant to the Policy’s requirements, candidates at S&P Global may be asked to disclose securities holdings. Some roles may include a trading prohibition and remediation of positions when there is an effective or potential conflict of interest. Employment at S&P Global is contingent upon compliance with the Policy. Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning) Job ID: 312489 Posted On: 2025-05-14 Location: Mumbai, Maharashtra, India Show more Show less

About Client Hiring for One of the Most Prestigious Multinational Corporations! Job Description Job Title : Azure Data Engineer Qualification : Any Graduate or Above Relevant Experience : 4 to 7Years Required technical skill : Databricks, Python, PySpark , SQL, AZURE Cloud, PowerBI Location : Pune CTC Range : 5 to 10LPA Notice period : immediate/ serving notice period Shift Timing : NA Mode of Interview : Virtual Sonali jena Staffing analyst - IT recruiter Black and White Business solutions PVT Ltd Bangalore, Karnataka, INDIA sonali.jena@blackwhite.in I www.blackwhite.in +91 8067432474

Experience Data Engineer ((Python, PySpark, ADB,ADF, Azure, Snowflake) Data science can also apply

Note: Please do not apply if your salary expectations are higher than the provided Salary Range and experience less than 3 years. If you have experience with Travel Industry and worked on Hotel, Car Rental or Ferry Booking before then we can negotiate the package. Company Description Our company is involved in promoting Greece for the last 25 years through travel sites visited from all around the world with 10 million visitors per year such www.greeka.com, www.ferriesingreece.com etc Through the websites, we provide a range of travel services for a seamless holiday experience such online car rental reservations, ferry tickets, transfers, tours etc….. Role Description We are seeking a highly skilled Artificial Intelligence / Machine Learning Engineer to join our dynamic team. You will work closely with our development team and QAs to deliver cutting-edge solutions that improve our candidate screening and employee onboarding processes. Major Responsibilities & Job Requirements include: • Develop and implement NLP/LLM Models. • Minimum of 3-4 years of experience as an AI/ML Developer or similar role, with demonstrable expertise in computer vision techniques. • Develop and implement AI models using Python, TensorFlow, and PyTorch. • Proven experience in computer vision, including fine-tuning OCR models (e.g., Tesseract, Layoutlmv3 , EasyOCR, PaddleOCR, or custom-trained models). • Strong understanding and hands-on experience with RAG (Retrieval-Augmented Generation) architectures and pipelines for building intelligent Q&A, document summarization, and search systems. • Experience working with LangChain, LLM agents, and chaining tools to build modular and dynamic LLM workflows. • Familiarity with agent-based frameworks and orchestration of multi-step reasoning with tools, APIs, and external data sources. • Familiarity with Cloud AI Solutions, such as IBM, Azure, Google & AWS. • Work on natural language processing (NLP) tasks and create language models (LLM) for various applications. • Design and maintain SQL databases for storing and retrieving data efficiently. • Utilize machine learning and deep learning techniques to build predictive models. • Collaborate with cross-functional teams to integrate AI solutions into existing systems. • Stay updated with the latest advancements in AI technologies, including ChatGPT, Gemini, Claude, and Big Data solutions. • Write clean, maintainable, and efficient code when required. • Handle large datasets and perform big data analysis to extract valuable insights. • Fine-tune pre-trained LLMs using specific type of data and ensure optimal performance. • Proficiency in cloud services from Amazon AWS • Extract and parse text from CVs, application forms, and job descriptions using advanced NLP techniques such as Word2Vec, BERT, and GPT-NER. • Develop similarity functions and matching algorithms to align candidate skills with job requirements. • Experience with microservices, Flask, FastAPI, Node.js. • Expertise in Spark, PySpark for big data processing. • Knowledge of advanced techniques such as SVD/PCA, LSTM, NeuralProphet. • Apply debiasing techniques to ensure fairness and accuracy in the ML pipeline. • Experience in coordinating with clients to understand their needs and delivering AI solutions that meet their requirements. Qualifications : • Bachelor's or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field. • In-depth knowledge of NLP techniques and libraries, including Word2Vec, BERT, GPT, and others. • Experience with database technologies and vector representation of data. • Familiarity with similarity functions and distance metrics used in matching algorithms. • Ability to design and implement custom ontologies and classification models. • Excellent problem-solving skills and attention to detail. • Strong communication and collaboration skills. Show more Show less

Job Title: Senior Data Engineer – Data Quality, Ingestion & API Development Mandatory skill set - Python, Pyspark, AWS, Glue , Lambda, CI CD Total experience - 8+ Relevant experience - 8+ Work Location - Trivandrum /Kochi Candidates from Kerala and Tamil Nadu prefer more who are ready to relocate to above work locations. Candidates must be having an experience in lead role related to Data Engineer Job Overview We are seeking an experienced Senior Data Engineer to lead the development of a scalable data ingestion framework while ensuring high data quality and validation. The successful candidate will also be responsible for designing and implementing robust APIs for seamless data integration. This role is ideal for someone with deep expertise in building and managing big data pipelines using modern AWS-based technologies, and who is passionate about driving quality and efficiency in data processing systems. Key Responsibilities • Data Ingestion Framework: o Design & Development: Architect, develop, and maintain an end-to-end data ingestion framework that efficiently extracts, transforms, and loads data from diverse sources. o Framework Optimization: Use AWS services such as AWS Glue, Lambda, EMR, ECS , EC2 and Step Functions to build highly scalable, resilient, and automated data pipelines. • Data Quality & Validation: o Validation Processes: Develop and implement automated data quality checks, validation routines, and error-handling mechanisms to ensure the accuracy and integrity of incoming data. o Monitoring & Reporting: Establish comprehensive monitoring, logging, and alerting systems to proactively identify and resolve data quality issues. • API Development: o Design & Implementation: Architect and develop secure, high-performance APIs to enable seamless integration of data services with external applications and internal systems. o Documentation & Best Practices: Create thorough API documentation and establish standards for API security, versioning, and performance optimization. • Collaboration & Agile Practices: o Cross-Functional Communication: Work closely with business stakeholders, data scientists, and operations teams to understand requirements and translate them into technical solutions. o Agile Development: Participate in sprint planning, code reviews, and agile ceremonies, while contributing to continuous improvement initiatives and CI/CD pipeline development (using tools like GitLab). Required Qualifications • Experience & Technical Skills: o Professional Background: At least 5 years of relevant experience in data engineering with a strong emphasis on analytical platform development. o Programming Skills: Proficiency in Python and/or PySpark, SQL for developing ETL processes and handling large-scale data manipulation. o AWS Expertise: Extensive experience using AWS services including AWS Glue, Lambda, Step Functions, and S3 to build and manage data ingestion frameworks. o Data Platforms: Familiarity with big data systems (e.g., AWS EMR, Apache Spark, Apache Iceberg) and databases like DynamoDB, Aurora, Postgres, or Redshift. o API Development: Proven experience in designing and implementing RESTful APIs and integrating them with external and internal systems. o CI/CD & Agile: Hands-on experience with CI/CD pipelines (preferably with GitLab) and Agile development methodologies. • Soft Skills: o Strong problem-solving abilities and attention to detail. o Excellent communication and interpersonal skills with the ability to work independently and collaboratively. o Capacity to quickly learn and adapt to new technologies and evolving business requirements. Preferred Qualifications • Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field. • Experience with additional AWS services such as Kinesis, Firehose, and SQS. • Familiarity with data lakehouse architectures and modern data quality frameworks. • Prior experience in a role that required proactive data quality management and API- driven integrations in complex, multi-cluster environments. Candidate those who are Interested please drop your resume to: gigin.raj@greenbayit.com MOB NO - 8943011666 Show more Show less

🚀 We’re Hiring: Senior Data Engineer | Immediate Joiner 📍 Location: Kochi / Trivandrum | 💼 Experience: 10+ Years 🌙 Shift: US Overlapping Hours (till 10 PM IST) We are looking for a Senior Data Engineer / Associate Architect who thrives on solving complex data problems and leading scalable data infrastructure development. Must-Have Skillset: ✅ Python, PySpark ✅ AWS Glue, Lambda, Step Functions ✅ CI/CD (GitLab), API Development ✅ 5+ years hands-on AWS expertise ✅ Strong understanding of Data Quality, Validation & Monitoring Role Highlights: 🔹 Build & optimize AWS-based data ingestion frameworks 🔹 Implement high-performance APIs 🔹 Drive data quality & integrity 🔹 Collaborate across teams in Agile environments Nice to Have: ➕ Experience with Kinesis, Firehose, SQS ➕ Familiarity with Lakehouse architectures Show more Show less

Job Description Entity : - Accenture Strategy & Consulting Title : - Level 9 - Ind & Func AI Decision Science Consultant Job location : - Bengaluru, Gurugram, Mumbai About S&C - Global Network : - Accenture Global Network - Data & AI practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition WHAT'S IN IT FOR YOU? Accenture CFO & EV team under Data & AI team has comprehensive suite of capabilities in Risk, Fraud, Financial crime, and Finance. Within risk realm, our focus revolves around the model development, model validation, and auditing of models. Additionally, our work extends to ongoing performance evaluation, vigilant monitoring, meticulous governance, and thorough documentation of models. Get to work with top financial clients globally Access resources enabling you to utilize cutting-edge technologies, fostering innovation with the world's most recognizable companies. Accenture will continually invest in your learning and growth and will support you in expanding your knowledge. You'll be part of a diverse and vibrant team collaborating with talented individuals from various backgrounds and disciplines continually pushing the boundaries of business capabilities, fostering an environment of innovation. What You Would Do In This Role Engagement Execution Work independently/with minimal supervision in client engagements that may involve model development, validation, governance, strategy, transformation, implementation and end-to-end delivery of fraud analytics/management solutions for Accenture's clients. Advise clients on a wide range of Fraud Management/ Analytics initiatives. Projects may involve Fraud Management advisory work for CXOs, etc. to achieve a variety of business and operational outcomes. Develop and frame Proof of Concept for key clients, where applicable Practice Enablement Guide junior team members. Support development of the Practice by driving innovations, initiatives. Develop thought capital and disseminate information around current and emerging trends in Fraud Analytics and Management Support efforts of sales team to identify and win potential opportunities by assisting with RFPs, RFI. Assist in designing POVs, GTM collateral. Travel: Willingness to travel up to 40% of the time Professional Development Skills: Project Dependent Job Qualifications Who we are looking for? 3-5 years of relevant Fraud Analytics experience at one or more Financial Services firms, or Professional Services / Risk Advisory with significant exposure to one or more of the following areas: Banking Fraud, Payment Fraud, Credit Card Fraud, Retail Fraud, Anti Money Laundering, Financial Crime, Telecom Fraud, Energy Fraud, Insurance Claims Fraud etc. Advanced skills in development and validation of fraud analytics models, strategies, visualizations. Understanding of new/ evolving methodologies/tools/technologies in the Fraud management space. Expertise in one or more domain/industry including regulations, frameworks etc. Experience in building models using AI/ML methodologies Modeling: Experience in one or more of analytical tools such as SAS, R, Python, SQL, etc. Knowledge of data processes, ETL and tools/ vendor products such as VISA AA, FICO Falcon, EWS, RSA, IBM Trusteer, SAS AML, Quantexa, Ripjar, Actimize etc. Strong conceptual knowledge and practical experience in the Development, Validation and Deployment of ML/AL models Hands-on programming experience with any of the analytics tools and visualization tools (Python, R, PySpark, SAS, SQL, PowerBI/ Tableau) Knowledge of big data, ML ops and cloud platforms (Azure/GCP/AWS) Strong written and oral communication skills Project management skills and the ability to manage multiple tasks concurrently Strong delivery experience of short and long term analytics projects Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law. About Accenture We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other.We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work.At Accenture, we see well-being holistically, supporting our people's physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We're proud to be consistently recognized as one of the World's Best Workplaces™.Join Accenture to work at the heart of change. Visit us at www.accenture.com Equal Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Accenture is committed to providing veteran employment opportunities to our service men and women. Show more Show less

Company Profile Our client is a global IT services company that helps businesses with digital transformation with offices in India and the United States. It helps businesses with digital transformation, provide IT collaborations and uses technology, innovation, and enterprise to have a positive impact on the world of business. With expertise is in the fields of Data, IoT, AI, Cloud Infrastructure and SAP, it helps accelerate digital transformation through key practice areas - IT staffing on demand, innovation and growth by focusing on cost and problem solving. Location & work – New Delhi (On-Site), WFO Employment Type - Full Time Profile – AI/ML Engineer Preferred experience – 3-5 Years The Role: We are seeking a highly skilled AI/ML Engineer with strong expertise in traditional statistical modeling using R and end-to-end ML pipeline configuration on Databricks. The ideal candidate will play a key role in designing, developing, and deploying advanced machine learning models, optimizing performance, and ensuring scalability across large datasets on the Databricks platform. Responsibilities: Design and implement traditional ML models using R (e.g., regression, classification, clustering, time-series). Develop and maintain scalable machine learning pipelines on Databricks. Configure and manage Databricks workspaces, clusters, and MLflow integrations for model versioning and deployment. Collaborate with data engineers, analysts, and domain experts to collect, clean, and prepare data. Optimize models for performance, interpretability, and business impact. Automate data workflows and model retraining pipelines using Databricks notebooks and job scheduling. Monitor model performance in production and implement enhancements as needed. Ensure model explainability, compliance, and reproducibility in production environments. Must-Have Qualifications Bachelor's or Master's degree in Computer Science, Information Systems, or a related field. Minimum 3+ years of experience in machine learning and data science roles. Strong proficiency in R for statistical modeling and traditional ML techniques. Hands-on experience with Databricks: cluster configuration, workspace management, notebook workflows, and performance tuning. Experience with MLflow, Delta Lake, and PySpark (optional but preferred). Strong understanding of MLOps practices, model lifecycle management, and CI/CD for ML. Familiarity with cloud platforms such as Azure Databricks, AWS, or GCP. Preferred Qualification: Certification in Databricks or relevant ML/AI platforms is a plus. Excellent problem-solving and communication skills. Application Method Apply online on this portal or on email at careers@speedmart.co.in Show more Show less

Position Summary We are seeking a Product Engineering Leader with a proven track record in building and scaling B2B/B2E enterprise-grade products across multi-cloud environments (AWS, Azure, GCP). This role requires a visionary technologist with deep engineering expertise, capable of driving the full lifecycle of product development — from ideation to delivery — in data-centric and workflow-driven domains. Key Responsibilities Lead Engineering Teams: Direct and mentor high-performing engineering teams in developing scalable, secure, and performant enterprise software products. End-to-End Product Ownership: Drive product architecture, design, and implementation to delivery, ensuring rapid time-to-market with high-quality outcomes. Customer-Centric Solutions: Collaborate with customers to understand business needs and translate them into robust technical solutions. Cross-Functional Collaboration: Work closely with Product Managers, Owners, and Business Stakeholders to align technology initiatives with business objectives. Technical Thought Leadership: Evangelize engineering best practices and product-focused thinking to drive innovation and alignment with non-functional requirements (NFRs) such as performance, reliability, scalability, usability, and cost-efficiency. Cloud-Native Product Development: Build and manage data-driven applications across AWS, Azure, and Google Cloud platforms. Data Engineering Expertise: Lead initiatives that handle large-scale data sets, driving architecture that supports complex data pipelines and analytics. Domain Expertise (Preferred): Any experience in Life Sciences, Commercial/Pharma, or Incentive Compensation is highly desirable. Behavioral Competencies Product Mindset: Strong understanding of Agile methodologies and iterative development; ability to define incremental paths to product vision. Team & Task Management: Effective at planning and prioritizing work, tracking progress, and enabling teams to meet objectives. Clear Communicator: Strong verbal and written communication skills with the ability to explain complex technical topics to varied audiences. Required Qualifications Education: Bachelor's or Master’s degree in Computer Science or a related field from a Tier 1 or Tier 2 institution. Experience: 18+ years in IT with 7+ years in product development and core engineering leadership roles. Demonstrated experience building scalable enterprise software products. Technology Stack & Tools Frontend: React.js Backend: Python, PySpark Data & Storage: Snowflake, PostgreSQL Cloud: AWS, Azure, GCP Containerization: Docker, EKS Others: Exposure to AI/GenAI technologies is a strong plus Alternative Stacks: Strong experience in Java, JEE, or .NET is acceptable with the right product engineering background. Why Join Us? Be part of a high-impact team shaping enterprise software solutions that drive real business outcomes. Collaborate with innovative minds and industry leaders. Tackle complex, data-driven challenges in cutting-edge technology environments. Show more Show less

Join us as a Quality Automation Specialist - PySpark In this key role, you’ll be undertaking and enabling automated testing activities in all delivery models We’ll look to you to support teams to develop quality solutions and enable continuous integration and assurance of defect free deployment of customer value You’ll be working closely with feature teams and a variety of stakeholders, giving you great exposure to professional development opportunities We're offering this role at associate vice president level What you'll do Joining us in a highly collaborative role, you’ll be contributing to the transformation of testing using quality processes, tools, and methodologies, significantly improving control, accuracy and integrity. You’ll implement testing techniques in the migration of existing liquidity application on AWS cloud which has been rewritten in PySpark. It’s a chance to work with colleagues at multiple levels, and with cross-domain, domain, platform and feature teams, to build in quality as an integral part of all activities. Additionally, You’ll Be Supporting the design of automation test strategies, aligned to business or programme goals Evolving more predictive and intelligent testing approaches, based on automation and innovative testing products and solutions Collaborating with stakeholders and feature teams and making sure that automated testing is performed and monitored as an essential part of the planning and product delivery Designing and creating a low maintenance suite of stable, re-usable automated tests, which are usable both within the product or domain and across domains and systems in an end-to-end capacity Applying testing and delivery standards by understanding the product development lifecycle along with mandatory, regulatory and compliance requirements The skills you'll need We’re looking for someone with experience of automated testing, particularly from an Agile development or CI/CD environment. You’ll be an innovative thinker who can identify opportunities and design solutions, coupled with the ability to develop complex automation code. You’ll need at least nine years of experience with testing. You'll also need experience with PySpark and AWS while performing automation testing. We’ll Also Look For You To Have Experience in end-to-end and automation testing using the latest tools as recommended by enterprise tooling framework A background of designing, developing and implementing automation frameworks in new environments Excellent communication skills with the ability to communicate complex technical concepts to management level colleagues Good collaboration and stakeholder management skills Show more Show less

Greetings from Colan Infotech!! Role - Data Scientist Experience - 3+ Years Job Location - Chennai/Bangalore Notice Period - Immediate to 30 Days Primary Skills Needed : AI/ML, Tensorflow, Django, Pytorch, NLP, Image processing,Gen AI,LLM Secondary Skills Needed : Keras, OpenCV, Azure or AWS Job Description:- Practical knowledge and working experience on Statistics and Operation Research methods. Practical knowledge and working experience in tools and frameworks like Flask, PySpark, Pytorch, tensorflow, keras, Databricks, OpenCV, Pillow/PIL, streamlit, d3js, dashplotly, neo4j. Good understanding of how to apply predictive and machine learning techniques like regression models, XGBoost, random forest, GBM, Neural Nets, SVM etc. Proficient with NLP techniques like RNN, LSTM and Attention based models and effectively handle readily available stanford, IBM, Azure, Open AI NLP models. Good understanding of SQL from a perspective of how to write efficient queries for pulling the data from database. Hands on experience on any version control tool (github, bitbucket). Experience of deploying ML models into production environment experience (MLOps) in any one of the cloud platforms like Azure and AWS Comprehend business issues and propose valuable business solutions. Design Factual or AI/profound learning models to address business issues. Design Statistical Models/ML/DL models and deploy them for production. Formulate what information is accessible from where and how to augment it. Develop innovative graphs for data comprehension using d3js, dashplotly and neo4j Show more Show less

The job responsibilities include the following: Clearly Setting Project Objectives with the Client – Take initiatives to identify opportunities and develop problem statements to be worked upon. Data Extraction, Cleansing and Manipulation – Handle large volume of data, research for variables and work with structured/unstructured data. Predictive Modelling – Development of models using appropriate predictive analytics techniques Model Documentation – Clear and Detailed Documentation of the modelling procedures. Participate in various other analytics projects and work on ad-hoc requests relating to data extractions and visualizations as per the client need We are also looking for a go getter person who can define: Analytic strategies to meet the demands of business requirements Technical requirements of the analytic solutions Data requirements of the analytic solution processes The person will be part of the Data Science team for a major Insurance client. He/ She will work with different stakeholders as SME for data science Engages in technical problem solving across multiple technologies; often needs to develop new solutions A suitable candidate should have 7-12 years of experience in a similar role and should possess a go -getter attitude. He/ She should be able to deal with ambiguity Experience in insurance preferred but not mandatory. Personal Qualifications Deep understanding of Analytics Strong communicator and team player. Should have experience in client interactions. Required Education and Skills Academic Background in Science (Mathematics, Physics, Engineering, Statistics, Economics, Actuarial Science etc.) Strong IT skills - Hands on experience in Machine Learning, Data Analysis and Data Preparation tools like Python, Pyspark, SQL, and good knowledge in advanced analytics / Machine learning / statistical / data mining / Text mining techniques in Regression or classification Show more Show less

About Client: Our Client is a global IT services company headquartered in Southborough, Massachusetts, USA. Founded in 1996, with a revenue of $1.8B, with 35,000+ associates worldwide, specializes in digital engineering, and IT services company helping clients modernize their technology infrastructure, adopt cloud and AI solutions, and accelerate innovation. It partners with major firms in banking, healthcare, telecom, and media. Our Client is known for combining deep industry expertise with agile development practices, enabling scalable and cost-effective digital transformation. The company operates in over 50 locations across more than 25 countries, has delivery centers in Asia, Europe, and North America and is backed by Baring Private Equity Asia. Job Title: AWS Data Engineer Location : Pan India Experience : 8-6 Years Job Typ e: Contract to Hire Notice Period : Immediate Joiners Mandatory Skills:, AWS services s3, Lambda, Redshift, Glue,Python,PySpark,SQL Job description: JD: Description - External At Storable, were on a mission to power the future of storage. Our innovative platform helps businesses manage, track, and grow their self-storage operations, and were looking for a Data Manager to join our data-driven team. Storable is committed to leveraging cutting-edge technologies to improve the efficiency, accessibility, and insights derived from data, empowering our team to make smarter decisions and foster impactful growth. As a Data Manager, you will play a pivotal role in overseeing and shaping our data operations, ensuring that our data is organized, accessible, and effectively managed across the organization. You will lead a talented team, work closely with cross-functional teams, and drive the development of strategies to enhance data quality, availability, and security. Key Responsibilities: Lead Data Management Strategy Define and execute the data management vision, strategy, and best practices, ensuring alignment with Storables business goals and objectives. Oversee Data Pipelines: Design, implement, and maintain scalable data pipelines using industry-standard tools to efficiently process and manage large-scale datasets. Ensure Data Quality & Governance, Implement data governance policies and frameworks to ensure data accuracy, consistency, and compliance across the organization. Manage Cross-Functional Collaboration - Partner with engineering, product, and business teams to make data accessible and actionable, and ensure it drives informed decision-making. Optimize Data Infrastructure: Leverage modern data tools and platforms. AWS, Apache Airflow, Apache Iceberg to create an efficient, reliable, and scalable data infrastructure. Monitor & Improve Performance: Mentorship & Leadership Lead and develop a team of data engineers and analysts, fostering a collaborative environment where innovation and continuous improvement are valued Qualifications Proven Expertise in Data Management: Significant experience in managing data infrastructure, data governance, and optimizing data pipelines at scale. Technical Proficiency : Strong hands-on experience with data tools and platforms such as Apache Airflow, Apache Iceberg, and AWS services s3, Lambda, Redshift, Glue Data Pipeline Mastery Familiarity with designing, implementing, and optimizing data pipelines and workflows in Python or other languages for data processing Experience with Data Governance: Solid understanding of data privacy, quality control, and governance best practice Leadership Skills: Ability to lead and mentor teams, influence stakeholders, and drive data initiatives across the organization. Analytical Mindset: Strong problem-solving abilities and a data-driven approach to improving business operations. Excellent Communication: Ability to communicate complex data concepts to both technical and non-technical stakeholders effectively. Bonus Points : Experience with visualization tools Looker, Tableau and reporting frameworks to provide actionable insights. Show more Show less

Job Title : Data Analyst Insurance Domain. Duration : 6 Months. Employment Type : Contractual. Work Location : Gurugram & Bangalore (Priority) | Chennai, Pune, Mumbai (Secondary). Job Description. We are looking for an experienced Data Analyst with strong domain knowledge in Insurance and expertise in handling end-to-end data workflows. The ideal candidate should have hands-on experience in data modelling, data analysis, data architecture, and data visualization, along with advanced skills in modern data in tools such as Azure, Python, Spark, and PySpark is required to deliver insights that support strategic business decisions in the insurance sector. Key Responsibilities Analyze large, complex datasets to identify trends, patterns, and insights relevant to the insurance business. Design and implement data models to support analytical and operational reporting needs. Build and maintain scalable data architectures using cloud platforms such as Azure. Develop efficient data pipelines and ETL processes using Python, Spark, and PySpark. Apply domain expertise to validate and ensure data accuracy, relevance, and usability. Create clear and insightful data visualizations and dashboards using open-source or enterprise tools (excluding Power BI). Collaborate with stakeholders to translate business requirements into analytical solutions. Ensure best practices in data governance, security, and documentation. Key Skills Required 6+ years of experience as a Data Analyst. 3 to 4 years of hands-on experience in the Insurance domain. Expertise in Data Modelling, Data Analysis, and Data Architecture. Proficiency in Azure, Python, Spark, and PySpark. Strong SQL skills for data extraction, transformation, and analysis. Experience with Data Visualization using tools (excluding Power BI). Excellent communication and stakeholder management skills. Strong analytical thinking and problem-solving abilities. (ref:hirist.tech) Show more Show less

Job Description Associate Director, Data Engineering 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. Led 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 the our company's 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 As the Associate Director, Data Engineering, your role will focus on business intelligence at the organization to enhance data-driven decision-making across the organization. This role is crucial for transforming data into valuable insights that drive business performance, support strategic initiatives and ultimately contribute to our company's mission to use science to improve and save lives around the world. What Will You Do In This Role You will develop and ensure that business intelligence activities are efficient and effective, enabling timely access to accurate data for informed decision-making, and focused on automation, controls, and data quality. Design, develop and maintain data pipelines to extract data from a variety of sources and populate data lake and data warehouse. Collaborate with Data Analyst, Data scientists, Machine Learning Engineers to identify and transform data for ingestion, exploration, and modeling. Work with data governance team and implement data quality checks and maintain data catalogs. Use Orchestration, logging, and monitoring tools to build resilient pipelines. Use test driven development methodology when building ELT/ETL pipelines. Understand and apply concepts like data lake, data warehouse, lake-house, data mesh and data-fabric where relevant. Develop data models for cloud data warehouses like Redshift and Snowflake. Develop pipelines to ingest data into cloud data warehouses. You will investigate enterprise data requirements where there is some complexity and ambiguity and plan own data modeling and design activities, selecting appropriate techniques and the correct level of detail for meeting assigned objectives. You will define and implement data engineering strategies that align with organizational goals and data governance standards. You will play a lead role in agile engineering and consulting, providing guidance on for complex data and unplanned data challenges. You will collaborate in the formulation of analytics policies, standards, and best practices to ensure consistency and compliance across the organization. Encourages a culture of continuous learning, constructive collaboration, and innovation within the team. What Should You Have Bachelor's degree in Computer Science/Engineering, Data Sciences, Bioinformatics, Biostatistics or any other computational quantitative science. Minimum of 5-7 years of developing data pipelines & data infrastructure, ideally within a drug development or life sciences context. Expert in software / data engineering practices (including versioning, release management, deployment of datasets, agile & related software tools). Strong software development skills in R and Python, SQL, PySpark. Agile working knowledge. Strong working knowledge of at least one large-scale data processing technology (e.g. High-performance computing, distributed computing), databases and underlying technology (cloud or on-prem environments, containerization, distributed storage & databases). Strong interpersonal and communication skills (verbal and written) effectively bridging scientific and business needs; experience working in a matrix environment. Proven record of delivering high-quality results in quantitative sciences and/or a solid publication track record. 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 among the 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 Not Applicable Shift Valid Driving License Hazardous Material(s) Required Skills Business Intelligence (BI), Database Administration, Data Engineering, Data Management, Data Modeling, Data Visualization, Design Applications, Information Management, Software Development, Software Development Life Cycle (SDLC), System Designs Preferred Skills Job Posting End Date 07/14/2025 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 R336586 Show more Show less

About This Role Want to elevate your career by being a part of the world's largest asset manager? Do you thrive in an environment that fosters positive relationships and recognizes stellar service? Are analyzing complex problems and identifying solutions your passion? Look no further. BlackRock is currently seeking a candidate to become part of our Global Investment Operations Data Engineering team. We recognize that strength comes from diversity, and will embrace your rare skills, eagerness, and passion while giving you the opportunity to grow professionally and as an individual. We know you want to feel valued every single day and be recognized for your contribution. At BlackRock, we strive to empower our employees and actively engage your involvement in our success. With over USD $11.5 trillion of assets under management, we have an extraordinary responsibility: our technology and services empower millions of investors to save for retirement, pay for college, buy a home and improve their financial well-being. Come join our team and experience what it feels like to be part of an organization that makes a difference. Technology & Operations Technology & Operations(T&O) is responsible for the firm's worldwide operations across all asset classes and geographies. The operational functions are aligned with clients, products, fund structures and our Third-party provider networks. Within T&O, Global Investment Operations (GIO) is responsible for the development of the firm's operating infrastructure to support BlackRock's investment businesses worldwide. GIO spans Trading & Market Documentation, Transaction Management, Collateral Management & Payments, Asset Servicing including Corporate Actions and Cash & Asset Operations, and Securities Lending Operations. GIO provides operational service to BlackRock's Portfolio Managers and Traders globally as well as industry leading service to our end clients. GIO Engineering Working in close partnership with GIO business users and other technology teams throughout Blackrock, GIO Engineering is responsible for developing and providing data and software solutions that support GIO business processes globally. GIO Engineering solutions combine technology, data, and domain expertise to drive exception-based, function-agnostic, service-orientated workflows, data pipelines, and management dashboards. The Role – GIO Engineering Data Lead Work to date has been focused on building out robust data pipelines and lakes relevant to specific business functions, along with associated pools and Tableau / PowerBI dashboards for internal BlackRock clients. The next stage in the project involves Azure / Snowflake integration and commercializing the offering so BlackRock’s 150+ Aladdin clients can leverage the same curated data products and dashboards that are available internally. The successful candidate will contribute to the technical design and delivery of a curated line of data products, related pipelines, and visualizations in collaboration with SMEs across GIO, Technology and Operations, and the Aladdin business. Responsibilities Specifically, we expect the role to involve the following core responsibilities and would expect a successful candidate to be able to demonstrate the following (not in order of priority) Design, develop and maintain a Data Analytics Infrastructure Work with a project manager or drive the project management of team deliverables Work with subject matter experts and users to understand the business and their requirements. Help determine the optimal dataset and structure to deliver on those user requirements Work within a standard data / technology deployment workflow to ensure that all deliverables and enhancements are provided in a disciplined, repeatable, and robust manner Work with team lead to understand and help prioritize the team’s queue of work Automate periodic (daily/weekly/monthly/Quarterly or other) reporting processes to minimize / eliminate associated developer BAU activities. Leverage industry standard and internal tooling whenever possible in order to reduce the amount of custom code that requires maintenance Experience 3+ years of experience in writing ETL, data curation and analytical jobs using Hadoop-based distributed computing technologies: Spark / PySpark, Hive, etc. 3+ years of knowledge and Experience of working with large enterprise databases preferably Cloud bases data bases/ data warehouses like Snowflake on Azure or AWS set-up Knowledge and Experience in working with Data Science / Machine / Gen AI Learning frameworks in Python, Azure/ openAI, meta tec. Knowledge and Experience building reporting and dashboards using BI Tools: Tableau, MS PowerBI, etc. Prior Experience working on Source Code version Management tools like GITHub etc. Prior experience working with and following Agile-based workflow paths and ticket-based development cycles Prior Experience setting-up infrastructure and working on Big Data analytics Strong analytical skills with the ability to collect, organize, analyse, and disseminate significant amounts of information with attention to detail and accuracy Experience working with SMEs / Business Analysts, and working with Stakeholders for sign-off Our Benefits To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about. Our hybrid work model BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock. About BlackRock At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress. This mission would not be possible without our smartest investment – the one we make in our employees. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive. For additional information on BlackRock, please visit @blackrock | Twitter: @blackrock | LinkedIn: www.linkedin.com/company/blackrock BlackRock is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to age, disability, family status, gender identity, race, religion, sex, sexual orientation and other protected attributes at law. Show more Show less