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.
Cooperative Execution:



Work closely with the Analytics and Strategy teams to translate business requirements into technical data structures with full autonomy.

Required Technical Skills
Languages: Robust 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.

📌 Data Engineer On Contract Mumbai
🏢 Schneider Electric
📍 Mumbai