





Strong Deloitte brand, mid-level (5+ yrs) data role, and Pune metro increase candidate competition.
Data engineering skills are fairly transferable, though Databricks specialization favors modern data-platform backgrounds.
Explicit 5+ years plus mandatory Databricks and PySpark skills create high shortlisting strictness.
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Design and implement scalable data pipelines using PySpark/Spark.
Develop and optimize data models, including star and snowflake schemas.
Utilize Databricks notebooks and Unity Catalog to manage and streamline data assets.
5+ years of overall work experience in data engineering or related roles.
Proficiency in Python programming for scripting and web programming.
Hands-on experience with Databricks notebooks and Unity Catalog.
Strong skills in data modeling and database design, specifically star and snowflake schemas.
Experienced in building scalable data architectures within data modernization and migration projects.
Comfortable working in engineering environments focused on big data and cloud-native platforms (Databricks).
Capable of independently handling complex data asset development and pipeline optimization tasks.