About the role
Experience: 4+ Years
Role: ETL Developer
Location: As per business requirement
Key Skills – Must Have
Candidates should have strong experience in any one of the following combinations:
Option 1 – Modern Data Engineering
- Python
- PySpark / Apache Spark
- SQL
- ETL/ELT development
- Data transformation and data processing
OR
Option 2 – Teradata ETL
- SQL
- Teradata
- Teradata SQL / BTEQ
- ETL development
- Data extraction, transformation and loading
Key Responsibilities
- Develop and maintain scalable ETL/ELT pipelines for data extraction, transformation, and loading.
- Write and optimize complex SQL queries for data processing and validation.
- Develop data transformation workflows using Python/PySpark or Teradata.
- Perform data cleansing, validation, reconciliation, and quality checks.
- Troubleshoot ETL failures and resolve data-related issues.
- Optimize queries, jobs, and data pipelines for performance.
- Work with business and technical teams to understand data requirements.
- Maintain technical documentation for ETL processes and data workflows.
- Support production deployments and resolve operational issues.
Required Skills
- Strong SQL knowledge is mandatory.
- Hands-on experience in Python/PySpark OR Teradata.
- Good understanding of ETL concepts and data warehousing.
- Experience with large-volume data processing.
- Knowledge of performance tuning and troubleshooting.
- Good communication and problem-solving skills.