Key Responsibilities

- Develop and maintain scalable ETL/ELT data pipelines using Python and PySpark.
- Write efficient and optimized SQL queries for data extraction, transformation, and analysis.
- Design and support data integration workflows across Vertica and Snowflake environments.
- Collaborate with data analysts, data scientists, and business stakeholders to gather data requirements and translate them into technical solutions.
- Perform light DBA activities such as table partitioning, indexing, user and access control, and performance tuning.
- Ensure data quality, consistency, and integrity across systems.
- Create and maintain technical documentation.

Required Skills & Qualifications

- 4–6 years of experience in data engineering or a similar role.




- Proficiency in Python for data manipulation and scripting.
- Hands-on experience with PySpark, AWS Glue in distributed data processing.
- Strong SQL skills with experience working on large datasets.
- Practical experience with Vertica and Snowflake (data modeling, query optimization, etc.).
- Understanding of basic DBA tasks including backup/recovery, schema management, and monitoring.
- Familiarity with version control (e.g., Git)
- Strong problem-solving skills and the ability to work in a fast-paced, team-oriented environment.

📌 Software Engineer III (Chennai)
🏢 LexisNexis Risk Solutions
📍 Chennai