Required skills:

- 5+ years of experience in Data Engineering, Python development, or a related role.

- Solid hands-on expertise in Python, particularly for , Data wrangling and transformation, ETL/ELT development, File and data processing, Automation and scripting, Data validation and cleansing.

- Strong knowledge of at least one relational SQL database such as: PostgreSQL, MySQL, Oracle, SQL Server

- Strong understanding of SQL, including joins, subqueries, CTEs, window functions, aggregations, and query optimization.

- Experience with AWS cloud services used in data engineering.

- Good understanding of data engineering concepts, including data pipelines, ETL architecture, data quality, and data integration.

Good to have skills:

- Hands-on experience with PySpark and distributed data processing.





- Experience with NoSQL databases such as DynamoDB, or Cassandra.

- Experience with AWS services such as S3, Lambda, Glue, Athena, Redshift, EMR, RDS, Step Functions, Event Bridge, and CloudWatch.

- Experience with workflow orchestration tools such as Apache Airflow or AWS Step Functions.

- Experience with Docker and containerized applications.

- Familiarity with CI/CD pipelines and DevOps practices.

- Knowledge of data warehousing and dimensional data modeling.

- Experience working with large-scale datasets and performance optimization.

- Familiarity with cloud-based data lake and data warehouse architectures.

📌 Data Engineer - Python (Bengaluru)
🏢 Bahwan Cybertek
📍 Bengaluru