Data Engineer (On Contract)

Schneider Electric · Mumbai

  • Experience3–6 yrs
  • SalaryNot disclosed
  • Work modeonsite
  • Levelmid
  • Posted16 Sept 2026
Apply for this job

About Schneider Electric

Schneider Electric is hiring in Mumbai in energy utilities. This role looks for around 3+ years of experience.

Skills

  • SQL
  • Python
  • SSIS
  • Informatica PowerCenter
  • AWS Glue
  • Amazon Athena
  • Amazon Redshift
  • Amazon EventBridge
  • AWS CLI
  • AWS IAM
  • Apache Airflow
  • ETL
  • ELT
  • Data Warehousing
  • Data Lakes
  • Change Data Capture
  • Star Schema
  • Snowflake Schema
  • Data Lakehouse Architecture

The role

A data engineer at an energy technology company designs and maintains unified ETL/ELT pipelines using SQL and Python for automated analytics ecosystems, and builds data quality governance with AWS Glue. Apache Airflow and data warehousing support reliable transformation and decision-making.

Full job description

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.