Senior Data Engineer

Job Type: Contract to hire

Experience: 5+ Years

Work Mode: Hybrid (3-4 days a Week)

Office Locations: Pune, Mumbai, Kochi, Hyderabad, Coimbatore, chennai

Job Overview

We are looking for a highly skilled Senior Data Engineer to build, optimize, and maintain enterprise-scale data platforms using Microsoft Fabric, Databricks, and Snowflake. The ideal candidate should have strong expertise in PySpark, SQL, ETL/ELT, Lakehouse architectures, and AI-ready data engineering to support analytics, business intelligence, and Generative AI initiatives.

Key Responsibilities

- Design, develop, and maintain scalable data pipelines using Microsoft Fabric and Databricks.
- Build Lakehouse, Data Warehouse, Pipelines, Notebooks, and Semantic Models.
- Develop high-performance ETL/ELT pipelines using PySpark and SQL.
- Optimize data models, partitioning strategies, and warehouse performance.
- Create reusable metadata-driven frameworks and automation components.
- Build feature-ready datasets for AI and Generative AI applications.
- Collaborate with Data Scientists and ML Engineers to productionize AI pipelines.
- Implement monitoring, observability, governance, security, and data quality frameworks.
- Develop interactive Power BI and Tableau dashboards.
- Mentor junior engineers and participate in architecture reviews.

Required Skills

- 5+ years of professional Data Engineering experience.
- Strong expertise in Microsoft Fabric, Databricks,



or Snowflake.
- Hands-on experience with Pipelines, Notebooks, Lakehouse, Data Warehouse, and Semantic Models.
- Advanced PySpark programming.
- Strong SQL development and Stored Procedure optimization.
- Experience with ETL/ELT, Data Modeling, and Contemporary Lakehouse Architecture.
- Experience preparing AI/GenAI datasets, embeddings, and vectorization pipelines.
- Azure cloud experience preferred.
- Power BI and Tableau reporting expertise.
- Strong analytical, troubleshooting, and problem-solving skills.

Preferred Qualifications

- Bachelor's or Master's Degree in Computer Science, Engineering, or Data Science.
- Experience with AI/ML data engineering workflows.
- Strong understanding of cloud-native data platform best practices.

Why Join Us?

- Work on enterprise-scale Data Engineering and AI initiatives.
- Exposure to Microsoft Fabric, Databricks, Snowflake, and modern Lakehouse technologies.
- Opportunity to contribute to next-generation AI and GenAI platforms.
- Collaborative, technology-driven engineering culture.

How to Apply

Interested candidates can share their updated resume at:

[email protected] or DM only WhatsApp: +91-XXXXXXXXXX

Pay: Up to ₹100,000.00 per month

Application Question(s):

- Are you open to contract to hire roles?

Work Location: Hybrid remote in Pune, Maharashtra (Pune, Pune District)

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