Senior Data Engineer

• Posted 10 hours ago • Updated 10 hours ago

Full Time

Fitment

Dice Job Match Score™

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Job Details

Skills

Data Integration
Data Quality
Extract
Transform
Load
Data Extraction
Dashboard
Access Control
Data Security
Modeling
Data Warehouse
Optimization
Unit Testing
Oracle Linux
FOCUS
Information Technology
Computer Science
Testing
Scripting
Stored Procedures
Microsoft SSIS
System Integration
Microsoft Power BI
Tableau
Microsoft SSRS
Microsoft SSAS
Microsoft Excel
SQL
Business Intelligence
Reporting
SQL Azure
Storage
Data Flow
Analytics
Management
Cloud Computing
Amazon S3
Step-Functions
Amazon Redshift
Amazon SQS
Amazon SageMaker
Data Engineering
Machine Learning (ML)
Workflow
Database
Servers
Writing
Communication
Amazon Web Services
Microsoft Azure

Summary

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.
- Certification in AWS or Azure services.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: RTX15ec74
Position Id: 695027ef6246f102c8a64451dbb4bb0
Posted 10 hours ago

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