Walk-in || Aws Data Engineer

Role & responsibilities

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).

• Strong 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