Data Engineer for Banking Project

Job Responsibilities:

• Design, build, and maintain reliable data pipelines and ETL/ELT processes.

• Integrate data from various internal and external sources into data platforms or data warehouses.

• Develop and optimize SQL queries, data models, and transformation processes.

• Monitor data workflows, troubleshoot job failures, and ensure data accuracy and completeness.

• Collaborate with Data Analysts, Developers, Business Users, and other stakeholders to support data requirements.

• Support data migration, reporting, analytics, and system integration initiatives.

• Implement data quality checks, documentation, and best practices for data governance and security.

• Work on cloud-based data solutions, preferably using AWS services.

Requirements:

• Minimum 3–4 years of experience as a Data Engineer, ETL Developer, or similar role.

• Bachelor's degree or equivalent

• Strong experience with ETL/ELT tools, data integration, data pipelines, and data warehousing.

• Proficient in SQL and familiar with relational databases.

• Experience with cloud services, preferably AWS (e.g., S3, Glue, Redshift, EMR, Lambda, or related services).

• Familiar with data modeling, data quality, performance optimization, and batch/scheduled jobs.

• Understanding of banking data, security, governance, and regulatory requirements is a plus.

• Experience working in banking, financial services, or other regulated industries is preferred.

• Good analytical, troubleshooting, and communication skills.