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 usingPyspark, 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.

📌 Senior AWS Data Engineer _ Exp: 5 to 7 Years (India)
🏢 Atyeti
📍 India