Required Skills :

- 6+ years of experience as a Data Engineer.

- Strong programming experience in Python.

- Hands-on experience with AWS services such as S3, Glue, Lambda, Redshift, EMR, or Athena.

- Experience building and maintaining ETL/ELT data pipelines.

- Good knowledge of SQL and relational databases.

- Experience with data warehousing and data modeling.

- Familiarity with Git and CI/CD processes.

- Strong problem-solving and communication skills.

Key Responsibilities :

- Architect and implement end-to-end data pipelines to ingest, process, and store large-scale datasets from disparate sources to support real-time and batch analytics.

- Optimize existing data warehouse performance by fine-tuning queries, schema designs, and storage strategies to improve processing speed and reduce operational costs.

- Collaborate with stakeholders to define data modeling standards and ensure data quality, consistency, and governance across all enterprise platforms.

- Automate data workflows and implement robust monitoring solutions to ensure high availability and reliability of critical data infrastructure.

- Mentor junior team members and conduct code reviews to uphold engineering excellence and maintain high standards of technical documentation.

Preferred Skills :

- Experience with Apache Spark or PySpark.

- Knowledge of Airflow or other workflow orchestration tools.

- Experience with Snowflake is a plus.