AWS Data Engineer

Required Skills and Experience:

Position (Parquet and Iceberg mandatory)

6 to 8 years of hands-on data engineering experience in cloud-native environments (AWS preferred).

Strong expertise in Apache Spark/PySpark for distributed data processing.

Mandatory experience with Parquet and Apache Iceberg for efficient storage and querying of large-scale datasets.

Proficiency with AWS data tools including S3, Glue, EMR, Redshift, Lambda, and related services.

Experience with job orchestration tools like Apache Airflow or AWS Step Functions.

Strong programming skills in Python and advanced SQL for data manipulation.

Solid understanding of data architecture, schema design, and performance tuning.

Tableau experience including data prep, Hyper file automation, publishing, and refresh management.

Familiarity with CI/CD pipelines, version control systems (e.g., Git), and Agile development practices.

Strong problem-solving skills and ability to work collaboratively across technical and business teams.