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.
- Strong 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