Data Engineer - Full Time Contractual Role

Schneider Electric; Mumbai, Navi Mumbai; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

Schneider Electric is seeking a Data Engineer (Contract) in Mumbai to architect and maintain scalable data pipelines within the Data Office Team. The role focuses on moving from silos to a unified, automated ecosystem to accelerate decision-making across the organization.

You will design ETL/ELT pipelines, develop data transformations, and implement data quality checks. Collaboration with Analytics and Strategy teams is essential to translate business requirements into robust data structures and

Qualifications

• Hands-on experience building and maintaining ETL/ELT pipelines.
• Strong data modelling, warehousing and data governance knowledge.
• Experience delivering automated data pulses for executive reviews.

Responsibilities

• Design, build and optimize scalable ETL/ELT pipelines to unify fragmented data sources.
• Develop complex data transformations for analytics and reporting.
• Automate data collection to reduce lead times for executives.
• Implement data quality checks and governance for accuracy.
• Collaborate with Analytics and Strategy teams to translate business needs into data structures.

Skills

SQL

Python

Data warehousing concepts

Data lakehouse

Data modelling

Root-cause analysis

Data governance

Tools

SSIS

Informatica PowerCenter

Apache Airflow

Tableau

Power BI

AWS Glue

Athena

Redshift

EventBridge

AWS CLI

IAM

Job description

Role Type: FULL TIME CONTRACT + EXTENDABLE

Job Description: Data Engineer (Contract)

Experience Level: 36 Years

Location: Mumbai

Role Objective

We are looking for a results-oriented Data Engineer to join our team Data Office Team. The successful candidate will be 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.

Core Skills: Data Engineering, ETL Developer, ELT Pipelines, Data Warehouse, Data Lakehouse, SQL Developer, Python Developer.

Tech Stack: AWS Glue, Redshift,Athena,Airflow,SSIS,Informatica Power Center,SQL,Python

Concepts: Data Ingestion, Data Modelling, Schema Design, Data Governance, Data Integration, Root-Cause Analysis, Data Warehouse

Experience Tags: 3-6 years experience, Contract Data Engineer, Mid-level Data Engineer.