Data Engineer Location: Pune

Experience: 5–9 Years

Employment Type: Full time

Job Summary

We are looking for an experienced Data Engineer to join our team in Pune. The ideal candidate will have strong hands-on experience in building, deploying, and automating scalable data pipelines and data solutions. You will work on end-to-end data ingestion, processing, data modeling, visualization, and dashboarding solutions while collaborating with global customers and cross-functional teams.

The role requires strong expertise in Databricks, Java, SQL, Spark/PySpark , data modeling, and cloud technologies, preferably Azure .

Key Responsibilities

Design, develop, and implement scalable data pipelines and data solutions .

Build end-to-end data ingestion, transformation, and processing pipelines .

Deploy and automate data pipelines and dashboards for customer implementations.

Develop and maintain data models, schemas, and data processing workflows .

Work with distributed data processing technologies such as Apache Spark/PySpark .





Develop solutions using Databricks for large-scale data processing.

Build and optimize dashboards and data visualizations using Splunk, Grafana, Power BI, Tableau , or similar tools.

Develop and maintain data-driven services using Java and SQL.

Work with structured and semi-structured data formats including JSON, XML, and Avro .

Deploy applications and data services using Docker and Kubernetes .

Work with cloud platforms, preferably Microsoft Azure .

Design and implement batch and streaming data solutions using technologies such as Kafka .

Ensure data quality, monitoring, reliability, and performance of data pipelines.

Collaborate with international, cross-functional teams to understand requirements and deliver customer-focused solutions.

Take ownership of projects from solution design and development through deployment and client handover .

Participate in Agile/Scrum activities including story creation, refinement, planning, and co

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