Data Engineer (ETL Engineer)

Job Overview

We are looking an experience ETL Engineer to support a one-time Data Warehouse migration project (Netezza). This role is highly hands-on, focusing on developing, optimizing, and executing ETL pipelines to ensure accurate and efficient data migration.

Key Responsibilities

• Design, develop, and maintain ETL pipelines (extract, transform, load)
• Perform data extraction from Netezza and load into target systems
• Develop and optimize stored procedures and transformation logic
• Execute migration jobs and support batch processing activities
• Perform performance tuning for ETL jobs and SQL queries
• Troubleshoot data and pipeline issues during migration runs
• Implement data validation checks and support reconciliation
• Work closely with Lead, QA, and business teams to ensure data accuracy
• Prepare technical documentation and job runbooks

Requirements

• 3–5 years of experience as a Data / ETL Engineer
• Strong hands-on experience with databases (Oracle, Netezza, MS SQL)
• Proficient in SQL, Python, and scripting
• Experience with ETL tools such as Talend, NiFi, or similar
• Experience developing stored procedures and ETL workflows
• Strong knowledge of performance tuning and query optimization
• Basic knowledge of Linux/Unix commands
• Experience in Data Warehouse / Data migration projects
• Familiar with Hadoop / Cloudera ecosystem
• Exposure to Data Warehouse and Data Lake environments

Nice to Have

• Banking or financial services experience
• Experience in large-scale or enterprise data migration projects
• Exposure to Huawei stack (GaussDB, MRS)