Data Engineer - AWS Platform

Description :

- 4- 7 years of experience in data engineering, with 3+ years on AWS platforms

- Strong in Python (incl. AWS SDKs), DBT, SQL, and Spark

- Proven expertise with AWS data stack (S3, Glue, EMR, Redshift, Athena, Lambda)

- Hands-on experience with workflow orchestration (Airflow/Step Functions)

- Familiarity with data lake formats (Parquet, ORC, Iceberg) and DevOps practices (Terraform, CI/CD)

- Solid understanding of data governance & security best practices

What would you do here :

- Develop and optimize ETL/ELT pipelines with Python, DBT, and AWS services (Data Ops Live).

- Build and manage S3-based data lakes using modern data formats (Parquet, ORC, Iceberg).

- Deliver end-to-end data solutions with Glue, EMR, Lambda, Redshift, and Athena.

- Implement strong metadata, governance, and security using Glue Data Catalog, Lake Formation, IAM, and KMS.

- Orchestrate workflows with Airflow, Step Functions, or AWS-native tools.

- Ensure reliability and automation with CloudWatch, CloudTrail, CodePipeline, and Terraform.

- Collaborate with analysts and data scientists to deliver business insights in an Agile setting