Data Engineer (On Contract)

Data Engineer ( On Contract )

Responsible for architecting and maintaining the data pipelines for use cases. The focus is on moving away from manual data silos to a unified, automated ecosystem that enables faster decision-making across the organization.

Key Responsibilities

• Pipeline Architecture: Design, build, and optimize scalable ETL/ELT pipelines to integrate fragmented data sources into a unified intelligence hub.
• Data Transformation: Develop complex data transformation logic to ensure high-integrity datasets for advanced analytics and strategic reporting.
• Automation: Transition manual data-gathering processes into automated, high-frequency "data pulses" to reduce lead times for executive reviews.
• Root-Cause Integrity: Implement data quality checks and governance protocols to ensure the accuracy required for proactive root-cause prevention and customer satisfaction tracking.
• Collaborative Execution: Work closely with the Analytics and Strategy teams to translate business requirements into technical data structures with full autonomy.

Required Technical Skills

• Languages: Strong proficiency in SQL & Python.
• ETL Technologies: SSIS, Informatica Power Center
• Big Data & Cloud: Experience with AWS cloud platform AWS Glue,Athena,Redshift, Amazon EventBridge, AWS CLI, IAM
• Orchestration: Hands-on experience with workflow tools like Apache Airflow.
• Data Modelling: Solid understanding of data warehousing concepts, ETL,ELT, Data Lake concepts, CDC, schema design (Star/Snowflake), and data lakehouse architectures.
• Visualization Support: Familiarity with preparing data layers for BI tools preferably Tableau /Power BI.