Senior Data Engineer

OEConnection LLC; Chennai; On-site; INR 800,000 - 1,500,000; Full time

Job summary

A leading technology company in Chennai is seeking a Senior Data Engineer to deliver scalable data pipelines and ETL processes across Azure and AWS platforms. The role includes maintaining enterprise BI solutions and coordinating with stakeholders to align data solutions with business needs. Candidates should have 6-10 years of experience in data engineering, a relevant bachelor's degree, and expertise in BI tools such as Power BI and Tableau. Strong SQL skills and hands-on experience with AWS and Azure cloud services are essential.

Qualifications

• 6 - 10 years of experience in data engineering and reporting required.
• Strong proven track record of developing and testing database scripts, stored procedures, triggers.
• Hands-on experience with AWS and Azure cloud services.

Responsibilities

• Design, build, and maintain scalable data pipelines and ETL processes.
• Own the design and maintenance of enterprise BI and reporting solutions.
• Coordinate with management to evaluate business needs.

Skills

Data Engineering

Database Scripting

SQL

Azure Data Factory

AWS Cloud Services

Business Intelligence Tools

ETL Processes

Data Warehousing

Education

Bachelor's degree in Information Technology or Computer Science

Tools

Power BI

Tableau

SSIS

Job description

Job Description

Posted Sunday 12 April 2026 at 18:30

Job Title: Sr. Data Engineer

Department: Data Engineering
Location: Chennai

Position Overview

The Senior Data Engineer is responsible for delivering scalable data pipelines, ETL processes, data warehouse solutions, and BI reporting tools across Azure and AWS cloud platforms. This role serves as a key technical contributor, ensuring seamless data integration, high data quality, and secure access while collaborating with stakeholders to translate business needs into efficient, cloud‑optimized data solutions.

Key Responsibilities

• Design, build, and maintain scalable data pipelines and ETL processes including database scripts, stored procedures, triggers, functions, Azure Data Factory pipelines, AWS Glue jobs, and other back‑end processes to ensure efficient data extraction, transformation, loading, and seamless system integration across Azure and AWS cloud environments.
• Own the design, development, and maintenance of enterprise BI and reporting solutions including metrics, reports, analyses, and dashboards using tools like Amazon QuickSight and Microsoft Azure BI solutions to drive key business decisions; implement robust user access controls and data security measures across cloud environments.
• Assist with tabular and multi‑dimensional modelling in addition to the development and maintenance of the Enterprise Data Warehouse leveraging both AWS and Azure cloud data warehouse solutions.
• Coordinate with management and end‑users to evaluate business needs, anticipate opportunities for improvement in cross‑cloud analytics solutions, identify alternate approaches that leverage the strengths and cost‑optimization benefits of both AWS and Azure platforms, and present recommendations for approval and implementation.
• Develop and execute comprehensive system and unit testing across Azure and AWS environments, identify and fix defects, and validate results to ensure quality and compatibility between cloud platforms.

Skills & Qualifications

Must‑Have

• 6 -10 years of experience in data engineering and reporting required.
• A bachelor’s degree from an accredited college or university is required, with a focus in Information Technology, Computer Science, or related discipline.
• Strong proven track record of developing and testing database scripts, stored procedures, triggers, functions, SSIS Packages, AWS, Azure cloud services and other back‑end processes to support system integration.
• Experience using BI/Analytics/Statistical tools like Power BI, Tableau, SSRS, SSAS, and Excel.
• Strong SQL skills, business intelligence tool expertise, AWS Cloud services, and report development skills.
• Hands‑on experience with Azure cloud services including Azure Data Factory, Azure SQL, Azure Blob Storage, Azure Dataflow, Logic Apps, Azure Synapse Analytics, Function Apps, and Key Vaults for building and orchestrating data pipelines, serverless integrations, and secure secrets management.
• Hands‑on experience with AWS cloud services including S3, Lambda, Glue, Step Functions, Redshift, Athena, SNS, SQS, EventBridge, Event Bus, SageMaker, IAM, Secrets Manager, Bedrock, CloudWatch, and Lake Formation for building scalable data engineering solutions, event‑driven architectures, ML workflows, and governance of data lakes.
• Understanding of configuration, deployment, and database servers.
• Strong writing and verbal communication skills. Ability to work collaboratively in a functional team environment.

Preferred

• Domain expertise in Automotive industry.