Proven experience as a Data Engineer (typically 4-10 years, depending on level).
- Strong hands-on experience with Python for data engineering tasks.
- Proficiency in SQL (writing complex queries, performance tuning).
- Robust expertise in PySpark and Databricks.
- Hands-on experience working in AWS cloud environment (S3, Glue, EMR, Redshift, Lambda, etc.).
- Experience with data pipeline orchestration tools (e.g., Airflow, AWS Step Functions).
- Solid understanding of data modelling, warehousing, and ETL/ELT concepts.
- Knowledge of version control systems (Git) and CI/CD practices.
- Excellent problem-solving and communication skills
Primary Skillset: Databricks, Pyspark, Python, AWS, SQL and data modelling
📌 Walk-in || Aws Data Engineer (Chennai)
🏢 Agilisium
📍 Chennai
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