Duties

- You will be a core member of analytics platform team responsible for extracting large quantities data from clients IT systems, developing efficient ETL and data management processes, and building architectures for rapid ingestion and dissemination of key data. Working on projects and exchanging experiences with your colleagues means you will face new intellectual challenges on a daily basis, while continuously building your methodological knowledge and skills.
- You will be exposed to an enormous variety of topics across many different industries such as, a world-leading bank figuring out how to best do its customer care across all of its channels, a railway determining optimal crew deployment, or a medical care provider understanding the main drivers for delays in surgery scheduling.
- In this role, you will be the point person in data architecture and management for our cloud platform and other high-tech initiatives.

Skills:

- Advanced knowledge of data management tools including SQL/DBMS, MongoDB, Hadoop and/or other big data technologies.
- Advanced programming skills in Java, Python, R, C++, C#, etc. Knowledge of statistical and data mining techniques (regression, decision trees, clustering, neural networks, etc.). Experience with data visualization tool is plus Exposure to online, mobile, and social data is a plus.
- Intellectual curiosity, along with excellent problem-solving and quantitative skills, including the ability to disaggregate issues, identify root causes and recommend solutions.
- Ability to independently own and drive model development, balancing demands and deadlines Robust people skills, team-orientation, and a professional attitude.




- Our Advanced Analytics teams bring the latest analytical techniques plus a deep understanding of industry dynamics and corporate functions to help clients create the most value from data.

PySpark and Advanced SQL is a must. We are looking for DE with excellent SQL skills and advance python and pyspark along with other required skillset.
- 5-7 years of experience as a Data engineer with extensive working experience using Pyspark, Advanced SQL, Snowflake, complex understanding of SQL and Skills, Spark, Snowflake, Glue and Airflow .
- AWS expertise - Lambda, Glue, S3 etc.
- Experience in working Snowflake and understanding of Snowflake architecture along with concepts like internal, external tables, stages, masking policies etc.
- Experienced on Big Data platforms
- Used SQL, PL/SQL and similar languages, UNIX shell scripting.
- Experienced with data modeling, design patterns, building highly scalable and secured solutions.
- Knowledge of agile software development process and familiarity with performance metric tools.
- Experience working with JSON, yaml, parquet, xml etc.
- Data Governance (Knowledge about meta data management, data catalog/access)
- Experience in software development, CI/CD, Agile methodology
- Event based and real time data streaming using Kafka
- Hands-on experience with AI-assisted development tools (e.g., Cursor, Claude, GitHub Copilot) for spec-driven development, code generation, debugging, SQL optimization, code reviews, and validating AI-generated code.

Education: Bachelors degree in quantitative field like Computer Science, Engineering, Statistics, Mathematics or related field required. Advanced degree is a strong plus

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Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Data Engineer II (Gurugram)
🏢 SteerLean
📍 Gurugram