Data Engineer - Python/PySpark

CANDIDATES FROM PUNE LOCATION ONLY SHALL APPLY

This role is open exclusively to candidates based in PUNE.

Applications from candidates requiring RELOCATION WILL NOT BE ENTERTAINED.

Experience : 7+ years

Notice Period : 15-30 Days MAX ONLY

Job Location : Pune, Baner (Work from Office)

Working Days : Monday to Friday (9 :00 AM 6 :00 PM)

Education Qualification : Bachelors or Masters in Computer Science, Engineering, Mathematics, or related field

Key Responsibilities :

- Design and develop robust data pipelines for large-scale data ingestion, transformation, and analytics.

- Implement scalable Lakehouse architectures using tools like Microsoft Fabric for structured and semi-structured data.

- Work with Python, PySpark, and Azure services to support data modelling, automation, and predictive insights.

- Develop custom KQL queries and manage data using Power BI, Azure Cosmos DB, or similar tools.

- Collaborate with cross-functional teams to integrate data-driven components with application backends and frontends.

- Ensure secure, efficient, and reliable CI/CD pipelines for automated deployments and data updates.

Skills & Experience Required :

- Strong proficiency in Python, PySpark, and cloud-native data tools

- Experience with Microsoft Azure services (e.g., App Services, Functions, Cosmos DB, Active Directory)

- Hands-on experience with Microsoft Fabric (preferred or good to have)

- Working knowledge of Power BI and building interactive dashboards for business insights

- Familiarity with CI/CD practices for automated deployments

- Exposure to machine learning integration into data workflows (nice to have)

- Strong analytical and problem-solving skills with attention to detail

Good to Have :

- Experience with KQL (Kusto Query Language)

- Background in simulation models or mathematical modeling

- Knowledge of Power Platform integration (Power Pages, Power Apps)

Benefits :

- Competitive salary.

- Health insurance coverage.

- Professional development opportunities.

- Dynamic and collaborative work environment.