Data Engineer

JOB DESCRIPTION The Data Engineer will support the development, execution, and monitoring of data pipelines, ensuring reliable and secure data delivery for analytics, reporting, and decision-making across the bank.

Key Responsibilities

• Develop and enhance ETL pipelines under guidance from senior engineers.
• Perform data ingestion, transformation, and basic modelling tasks.
• Monitor pipeline execution, identify failures, and support issue resolution.
• Execute data validation, reconciliation, and quality checks.
• Maintain technical documentation and pipeline metadata.
• Follow defined coding, security, and data engineering standards.
• Support audit, compliance, and internal review requirements.

Qualifications & Experience

• Bachelor’s degree in Engineering, Computer Science, or related field.
• 1–6 years of experience in data engineering or ETL development.
• Exposure to enterprise data environments is desirable.

Technical Skills

• Strong SQL ,Python and pyspark fundamentals.
• Understanding of ETL pipelines and basic data orchestration concepts.
• Familiarity with version control and structured deployment practices.
• Basic understanding of data validation, monitoring, and quality checks.
• Willingness to learn banking data, security, and regulatory requirements.