Data Engineer

Job Summary:

We are looking for a Data Engineer responsible for designing, developing, and maintaining data pipelines and data infrastructure using AWS data engineering services and/or Talend Studio. The role will work with data from multiple sources and support reliable, secure, and scalable data processing solutions.

Key Responsibilities:

• Design, develop, and maintain data pipelines and ETL/ELT processes using AWS data services and/or Talend Studio.
• Work with data from multiple sources, including data lakes, data warehouses, and relational databases.
• Monitor, troubleshoot, and optimize data pipelines to ensure data accuracy, quality, and reliability.
• Develop and maintain data integration solutions using AWS services such as Glue, Lambda, S3, Redshift, EMR, RDS, Step Functions, Kinesis, and MWAA/Airflow.
• Collaborate with cross-functional teams to support data requirements, security protocols, and data-driven initiatives.
• Develop and maintain data solutions using S3-based Lakehouse architectures and Enterprise Data Warehouse environments.
• Contribute to the improvement, automation, and optimization of data engineering processes.
• Prepare and maintain technical documentation for data pipelines, processes, and integrations.

Qualifications:

• 2–5 years of experience in data engineering, ETL, or data integration.
• Experience with Talend Studio and/or AWS data engineering services. Talend experience is preferred but not mandatory.
• Strong experience with AWS-native data engineering services is acceptable in lieu of Talend experience.
• Proficiency in SQL, Python, Spark, and Java.
• Experience with AWS services such as Glue, Lambda, S3, Redshift, EMR, RDS, Step Functions, Kinesis, and MWAA/Airflow.
• Experience with S3-based Lakehouse architectures, RDS, and Enterprise Data Warehouse (EDW) environments.