Back

Protocol Intelligence

Data-driven signals on your job's competitiveness

CV Match Score

Estimated fit based on your resume

Structured overview of role & requirements

sevenTenPUNEofficeDirect Career PageEst. 18–28 LPA

Posted 11h ago

Data-driven signals on your job's competitiveness

Competition Intensity

(Moderate)

Senior, Databricks-focused data role in Pune with common skillset creates moderate candidate competition.

Background Fit Sensitivity

(High)

Specialized Databricks/Spark/Delta Lake skills limit cross-industry portability.

Shortlisting Strictness

(High)

Explicit 8+ years with Databricks, Spark, cloud and Terraform makes shortlisting stringent.

Estimated fit based on your resume

Create a free account or log in to unlock your CV match score across:

Role Fit

Experience

Industry Relevance

get started

Structured overview of role & requirements

Build and optimize modern cloud-native data platforms using Databricks and Apache Spark (PySpark).

Lead migration of enterprise data workloads from AWS (Glue/Redshift) to Databricks as part of data modernization.

Develop and maintain batch and streaming data pipelines with focus on performance, cost-efficiency, and governance.

8+ years of Data Engineering experience.

Strong hands-on experience with Databricks and Apache Spark (PySpark).

Experience with Terraform (IAC), Delta Lake, SQL, and Python.

Location: Pune (Hybrid).

Experienced in building scalable, production-grade data pipelines and cloud-native data architectures on Databricks.

Capable of collaborating cross-functionally and mentoring junior engineers.

Practical knowledge of data security, governance, and migration from AWS to Databricks environments.