Posted on: 03/07/2026
Role : Data Engineer
Industry Type : IT Services & Consulting
Department : Engineering - Software & QA
Employment Type : Full Time, Permanent
Experience : Overall 15+ Years of experience with 10+ years in Data Architect of strong Azure expertise, Refactoring/Redesigning.
Location : Only India, Remote
Notice Period : Immediate Joiners Preferred
Key Responsibilities :
1. Architecture & Solution Design :
- Overall 15+ years of experience with 10+ years of experience in Data Engineering and Analytics solutions.
- Design end-to-end data architectures on Microsoft Azure.
- Define data ingestion, transformation, storage, governance, and consumption strategies.
- Create scalable, secure, and cost-effective data solutions aligned with business objectives.
- Establish architectural standards, design patterns, and best practices for data engineering teams.
- Collaborate with business stakeholders, product owners, and technical teams to translate requirements into technical solutions.
- Design, develop, and modernize enterprise data platforms on Azure. Analyze, refactor, and redesign existing data pipelines and products while building new scalable data solutions.
- Act as a hands-on individual contributor with technical leadership responsibilities, including mentoring junior developers and driving best practices.
2. Technical Requirements :
- Strong hands-on experience in PySpark, Python, and SQL.
- Expertise in Azure Databricks and Azure data ecosystem.
- Experience designing and implementing scalable data architectures.
- Ability to analyze, optimize, refactor, and redesign existing data pipelines.
- Develop and maintain ETL/ELT solutions and data products.
- Performance tuning, troubleshooting, and data quality implementation.
- Mentor and guide junior developers and conduct code reviews.
- Collaborate with cross-functional teams to deliver end-to-end data solutions.
Preferred Experience :
- Azure Data Lake, Azure Data Factory, Azure Synapse.
- Data warehousing, lakehouse architecture, and cloud migration.
- CI/CD, Git, and Agile development practices.
Education :
- UG : B.C.A. in Any Specialization, B.Tech / B.E. in Any Specialization, B.Sc in Any Specialization.
- PG : MS/M.Sc(Science) in Any Specialization, MCA in Any Specialization, M.Tech in Any Specialization, MBA/PGDM in Any Specialization.
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Posted in
Data Engineering
Functional Area
Data Engineering
Job Code
1651302