Data Engineer

Job Description: Data Engineer – Enterprise Data Platform

Role Summar

yThe Data Engineer will work closely with data architects, business analysts, governance teams, platform teams, and project stakeholders to implement data pipelines and data models aligned with the signed-off BRD, FRS, and Low-Level Design documents

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Key Responsibiliti

esETL and Transformation Developme

• ntDevelop reusable ETL pipelines using Airflow and dbt Cor
• e.Build SQL-based transformation models using dbt-spark or agreed adapter
• s.Implement Bronze → Silver → Gold data transformation flows based on signed-off desig
• n.Develop data cleansing, standardization, aggregation, matching, and enrichment logic for platform and business use case
• s.Support ETL exception handling, retry logic, audit logging, and operational monitorin
• g.Implement logical and physical data models across Bronze, Silver, and Gold layer
• s.Optimize transformation logic and data models for query efficiency, scalability, and maintainabilit
• y.Implement embedded data quality checks in ingestion and ETL processe
• s.Support integration of data quality outputs, metadata, and lineage artifacts with Alatio
• n.Generate dbt artifacts and metadata needed for cataloging and lineage visibilit
• y.Ensure data engineering outputs are traceable, governed, and aligned with access and classification requirement

s.CI/CD and Deployme

• ntUse GitLab for version control, code review, and CI/CD pipeline executio
• n.Support deployment of Airflow DAGs, dbt models, scripts, and configuration across Development, UAT, and Production environment
• s.Maintain deployment scripts, technical documentation, and runbook

s.Required Skills and Experien

• ceHands-on experience in data engineering, ETL development, and data lakehouse implementatio
• n.Strong SQL development skill
• s.Experience with Airflow for orchestratio
• n.Experience with dbt Core for transformation development, testing, and documentatio
• n.Experience using GitLab or equivalent version control and CI/CD tool
• s.Understanding of data quality checks, audit logging, lineage, and catalog integratio