Databricks — the company behind Apache Spark and the Lakehouse platform — hires early-career Data Engineers in Bengaluru, working with Spark, Delta Lake, SQL and Python. Note: entry-level data engineering is competitive, so strong fundamentals and a portfolio are essential.
Disclaimer: This is a third-party opening shared for informational purposes. Cloud Soft Solutions is not the hiring employer; verify all details (eligibility, compensation, requisition IDs) on the official portal before applying.
Role Overview
Location: Bengaluru · Hybrid
Type: Data Engineer (early-career)
Experience: Early-career / freshers with strong fundamentals + portfolio
Package: Competitive, as per Databricks norms (confirm on the official listing)
Key Highlights
- Data engineering on the Lakehouse (Spark + Delta Lake)
- SQL, Python and distributed data processing
- Global product company (Bengaluru)
- Entry-level DE is competitive — fundamentals matter
Eligibility & Skills
- B.E/B.Tech/M.Sc/MCA or equivalent
- Strong SQL, Python and DSA
- Apache Spark / PySpark and data-modeling fundamentals
- A GitHub portfolio of real data-pipeline projects
How to Apply
Check current openings and apply on the official Databricks Careers portal and search early-career / Data Engineer roles in Bengaluru. Lead with your portfolio.
Pro tips: for data-engineering roles, ship 2–3 end-to-end pipeline projects (ingest → transform with Spark/SQL → warehouse → orchestrate with Airflow/dbt) on GitHub, master SQL and Python, and be ready to explain partitioning, performance tuning and data modeling.
How to Prepare for This Role
Master SQL, Python, Spark and data modeling; prepare with our Data Engineer roadmap (0→24 LPA) and the Data Engineering course.
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Frequently Asked Questions
Who can apply for early-career Data Engineer roles at Databricks?
Early-career candidates and freshers with a B.E/B.Tech/M.Sc/MCA, strong SQL, Python and DSA, Apache Spark/PySpark and data-modeling fundamentals, and a GitHub portfolio of real data-pipeline projects.
Is entry-level data engineering competitive at Databricks?
Yes — only a small share of data-engineering roles are explicitly entry-level, so strong fundamentals (SQL, Python, Spark) and a real-project portfolio are essential. Check current openings on the official Databricks careers portal.