Data Engineer (Contract)

Design, build, and maintain scalable ETL/ELT pipelines to support business analytics.

Optimize database performance, query efficiency, and storage for large-scale data processing.

Collaborate with cross-functional teams to deliver clean, structured, and production-ready datasets.

Monitor data quality, pipeline integrity, and security while resolving system bottlenecks.

Automate data workflows and monitoring processes to ensure high availability and minimal manual effort.

Bachelor's degree in Computer Science, Information Systems, Mathematics, or a related field.

2 to 4 years of proven experience in data engineering or a similar technical capacity.

Strong programming skills in Python, Java, or Scala.

Deep knowledge of SQL, data modeling, and performance tuning for RDBMS and NoSQL.

Experience with orchestration tools (such as Airflow) and cloud data platforms (such as BigQuery, Snowflake, AWS, or Spark).

Excellent analytical, problem-solving, and collaborative team player abilities.