- We are looking for a developer passionate about building scalable, cloud-native data platforms
and delivering mission-critical data flows. You will collaborate with cross-functional teams
across engineering and data science, owning pipelines end-to-end from ingestion to production
deployment.
Key Responsibilities

- Design & build ETL/ELT pipelines using Databricks & Delta Lake
- Develop scalable data lakes & warehouse models
- Operationalize & monitor ML models with data scientists
- Manage Databricks clusters, jobs & performance
- Work with Azure/AWS data services (ADLS, S3, Redshift)
- Enable data quality, metadata & Master Data structures
- Maintain technical docs & follow best practices
- Champion continuous improvement & automation TENJUMPS SOFTECH

Must-Have Skills





- 2–4 years as a Data Engineer / Databricks Developer
- Strong Python / PySpark / SQL
- Hands-on Databricks & Delta Lake experience
- Experience with Talend / DataStage (Essential)
- Cloud services: Azure or AWS
- Data ingestion & integration (DBs, APIs, Salesforce/SAP)
- Strong understanding of data modeling & distributed systems
- Git, CI/CD, version control — Azure DevOps experience required

Positive to Have

- Star-schema warehouse & MPP DBs (Redshift)
- Experience in Life Sciences / Pharma domain
- ML pipeline knowledge
- Certifications (Databricks / Azure / AWS)

📌 Databricks Data Engineer - Bengaluru (Hybrid/Remote) (India)
🏢 Informica Solutions
📍 India