Data Engineer

Role Description

The Data Engineer is responsible for designing, building, and maintaining scalable data pipelines and analytics-ready data assets. This role focuses on Databricks-based data engineering, API-driven data ingestion, and enabling downstream analytics and reporting through well-modeled datasets consumed by Power BI.

Key Responsibilities

•       Design, develop, and maintain data pipelines using Databricks (Spark / SQL / PySpark)

•       Build scalable ETL / ELT processes to support enterprise analytics and reporting

•       Ingest and integrate data from internal and external systems using REST APIs

•       Transform raw data into curated, analytics-ready datasets and data marts

•       Optimize data processing performance, reliability, and cost efficiency

•       Partner with BI and analytics teams to enable Power BI reporting and semantic models

•       Ensure data quality, governance compliance, and documentation standards

•       Support testing, deployment, and monitoring of data solutions

Required Skills & Experience

•       Strong hands-on experience with Databricks development

 •      Solid knowledge of Spark, SQL, and Python

•       Experience working with APIs for data ingestion and system integration

•       Exposure to Power BI (data modeling, performance optimization, analytics consumption)

•       Strong understanding of data modeling concepts (fact/dimension, star schema)

•       Experience with cloud data platforms and modern data architectures