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 robust 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 continuous improvement.
Communicate

📌 Data Engineer (India)
🏢 Enterprise Minds
📍 India