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 continuous improvement.
Communicate effectively with customers, stakeholders, and internal technical teams.
Required Skills & Experience
Bachelor's or Master's degree in Computer Science, Information Technology , or a related field.
5–9 years of experience in Data Engineering, data pipelines, or data solutions.
Strong hands-on experience with Databricks .
Strong programming experience in Java .
Strong proficiency in SQL and data modeling.
Hands-on experience with Apache Spark / PySpark .
Experience with data visualization tools such as Splunk, Grafana, Prometheus, Power BI, or Tableau .
Good knowledge of Splunk SPL is an advantage.
Experience working with JSON, XML, Avro , or similar data schemas.
Experience with Docker and Kubernetes .
Experience with cloud services, preferably Microsoft Azure .
Knowledge of Kafka or other streaming platforms is a plus.
Understanding of data quality, monitoring, and validation .
Solid analytical, problem-solving, and troubleshooting skills.
Excellent communication skills in English .
Good to Have
Experience working with real-time/streaming data pipelines.
Knowledge of Kafka and event-driven architectures .
Experience with data quality frameworks and monitoring solutions.
Experience working in Agile/Scrum environments.
Experience working with international customers or distributed teams.
Why Join Us?
Work on innovative data intelligence and analytics solutions .
Opportunity to work with global customers and multidisciplinary teams .
Exposure to modern technologies including Databricks, Spark, Azure, Kafka, Docker, Kubernetes, and Splunk .
Be part of an Agile environment focused on innovation, ownership, and continuous improvement.

Thanks,
Renuka

📌 Data Engineer (Pune)
🏢 Enterprise Minds
📍 Pune