Data Engineer - ETL Development

Job Summary :

We are seeking a skilled Senior Data Engineer with strong expertise in ETL development, data pipeline engineering, and cloud-based data integration solutions. The ideal candidate will have hands-on experience with Ab Initio, PySpark, and AWS Glue, along with a proven track record of designing, developing, and supporting large-scale data processing systems.

Key Responsibilities :

- Design, develop, enhance, and support large and complex ETL and data pipeline solutions.

- Build and maintain scalable data integration workflows using Ab Initio, PySpark, and AWS Glue.

- Analyze technical issues, interpret business processes, and recommend effective data engineering solutions.

- Support the modernization of legacy data pipelines and contribute to cloud migration initiatives.

- Design, develop, test, deploy, and maintain ETL and data pipeline components across multiple environments.

- Ensure data quality, reliability, and performance across all data processing workflows.

- Collaborate with business and technology stakeholders to understand requirements and deliver scalable solutions.

- Troubleshoot and optimize ETL processes to improve efficiency and performance.

- Follow best practices for data engineering, coding standards, testing, and deployment.

Required Skills :

- Strong experience in ETL and data pipeline development.

- Hands-on expertise with Ab Initio.

- Experience working with cloud-based ETL technologies, including PySpark and AWS Glue.

- Good understanding of data integration, transformation, and processing concepts.

- Experience in designing, developing, testing, and deploying ETL solutions.

- Ability to analyze business requirements and translate them into technical solutions.

- Knowledge of cloud-native data architectures and data modernization initiatives.

- Strong analytical, troubleshooting, and problem-solving skills.