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