Data Engineer (HYBRID)

• Assist in the design, development, and maintenance of data pipelines and infrastructure using AWS Microservices and/or Talend Studio.
• Work with data from multiple resources, including data warehouses and lakes.
• Troubleshoot and maintain ETL/ELT processes, ensuring data accuracy.
• Collaborate with teams for data-related needs, security protocols, and insights.
• Contribute to data engineering improvements and processes documentation.

Qualifications

• ETL/Integration tools: 2 to 5 years experience with Talend and/or AWS data engineering services.
• Talent Requirement: Talend Experience is preferred but not mandatory; Strong AWS-native data engineering is acceptable.
• AWS Services Exposure: Experience with services such as AWS Glue, Lambda, S3, Redshift, EMR, RDS, Step functions, Kinesis, and MWAA/Airflow.
• Programming & Query Languages: Proficiency in SQL, Python, Spark, and Java.
• Data Platform Experience: Experience working with S3-based Lakehouse architectures, RDS, and Enterprise Data Warehouse environments.
• Contract Duration: 3 months
• Work Arrangement: Hybrid setup (3 days onsite, 2 days remote)