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.