OEConnection

Senior Data Engineer

• Posted 30+ days ago • Updated 5 hours ago
Full Time
Fitment

Dice Job Match Score™

🔢 Crunching numbers...

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
  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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 30+ days ago
Create job alert
Set job alertNever miss an opportunity! Create an alert based on the job you applied for.

Similar Jobs

Senior Data Engineer

Hybrid in Columbus, Ohio

•

8d ago

Easy Apply

Contract

115,000 - 150,000

Senior Data Engineer

Remote or Enterprise, Oregon

•

Today

Full-time

USD 100,000.00 - 170,000.00 per year

Senior Data Engineer

Waukegan, Illinois

•

Today

Full-time

USD 96,000.00 - 148,000.00 per year

Senior Data Engineer

Lansing, Michigan

•

Today

Full-time

Search all similar jobs