Data Engineer 6 months

DATA ENGINEER 6 months 

Key Responsibilities

• Design, build, and maintain robust, scalable, and efficient data pipelines and ETL/ELT processes on AWS.

• Work closely with data scientists, analysts, and business teams to understand data requirements and deliver solutions.

• Integrate data from multiple internal and third-party sources into unified data platforms.

• Optimize data lake and data warehouse performance (e.g., S3, Redshift, Glue,Athena).

• Ensure data quality, governance, and lineage using appropriate tools and frameworks.

• Implement CI/CD practices for data pipelines and workflows.

• Monitor and troubleshoot production data pipelines to ensure reliability and accuracy.

• Ensure compliance with data privacy and information security policies.

 Qualifications

• 5 years of experience in data engineering or a related role.

• Strong programming skills in Python, PySpark, or Scala.

• Proficient in SQL and working with structured, semi-structured, and unstructured data experience with AWS services such as: o S3, Glue, Lambda, Redshift, Athena, Kinesis, Step Functions,CloudFormation, CodeBuild

• Hands-on experience with workflow orchestration tools like Apache Airflow or AWS-native alternatives.