Job Title : Data Engineer

Work Location : Pune (Client Location Kharadi)

Work Mode : Hybrid

Work Schedule :

Onsite : 3 Days Mandatory (Tuesday, Wednesday, Thursday) | 10 : 00 am 2 : 00 pm IST

WFH : 2 Days (Monday & Friday) | 2 : 30 pm 10 : 30 pm IST

Additional WFH Hours : 6 : 30 pm 10 : 30 pm IST (on onsite days)

About the Role :

We are seeking an experienced Data Engineer to join our team in Pune.

The ideal candidate will have strong expertise in Core Java, Spring Boot, and Microservices, along with hands-on experience in building scalable data pipelines on Google Cloud (BigQuery, Dataflow, Dataproc, Pub/Sub, etc.).

You will be responsible for designing, developing, and optimizing data solutions that support business intelligence and analytics across the organization.

Key Responsibilities :

- Design, develop, and operate scalable, high-performance data applications.

- Build and maintain data pipelines for both real-time and batch processing.

- Implement ingestion, transformation, and integration of diverse data sources.

- Develop and maintain data models and schemas to support analytics use cases.

- Collaborate with cross-functional teams including data scientists, analysts, and product teams.

- Ensure data quality, governance, and security compliance.

- Automate processes, improve efficiency, and enable self-service analytics.

- Troubleshoot production issues and provide ongoing operational support.

- Contribute to architecture discussions, technology roadmaps, and sprint activities.

Required Skills & Experience :

- 6+ years of experience in Core Java, Spring Boot, and Microservices development.

- Strong knowledge of Cloud technologies (GCP preferred; AWS/Azure experience a plus).

- Experience with Google Cloud services such as BigQuery, Dataflow, Dataproc, Pub/Sub, Avro.

- Expertise in designing and building scalable, reliable data pipelines.

- Hands-on experience with data ingestion, transformation, and modeling.

- Familiarity with data visualization tools (Google Data Studio, Tableau, Power BI, or similar).

- Strong debugging and troubleshooting skills for distributed systems.

- Understanding of data governance, compliance, and security best practices.

- Excellent problem-solving, communication, and collaboration skills.

Nice-to-Have :

- Experience with CI/CD, serverless computing, and infrastructure-as-code.

- Knowledge of API integrations and third-party data source connectivity.

- Exposure to globally distributed engineering teams.