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Tier-1 employer, popular mid-level Data Engineer title, metro location and 3+ years amplify competition.
Core data engineering skills (PySpark, SQL, cloud) are broadly transferable across industries, lowering sensitivity.
Explicit 3+ years and mandatory Databricks/Azure/PySpark and CI/CD requirements drive strict filtering.
Design, develop, and test innovative software applications focused on digital transformation to enhance business performance, especially within Tax service delivery.
Utilize programming languages such as Python and platforms like Databricks to build scalable data pipelines and optimize application performance and reliability.
Collaborate with cross-functional teams, interpret data to inform insights, uphold PwC standards, and mentor junior team members.
Bachelor's degree in Accounting, Information Technology, Engineering, Commerce, MBA (finance related), or M.Com.
At least 3+ years of work experience.
Proficiency in English (oral and written).
Not explicitly mentioned in the JD: notice period.
Strong technical expertise in Databricks platform features including workflows, DLT, Asset Bundles, Unity catalog, Genie, etc.
Expertise in Data Engineering with skills in PySpark, Python, SQL, Azure cloud services including DevOps and Storage, and data architecture like Delta Lake and Lakehouse.
Experience with CI/CD pipelines, automated testing, distributed systems (Apache Spark), and preferably AI capabilities on Databricks.