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Tier-1 brand, mid-level data engineer title, metro location, and broad Databricks/Azure skillset increase competition.
Core Databricks, Azure and data engineering skills are broadly transferable across industries.
Explicit 3+ years plus specialized Databricks, Azure, PySpark and data architecture requirements increase filtering rigor.
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Develop innovative software solutions focused on digital transformation to enhance tax service delivery and business performance.
Design, code, and test applications using Python and related data engineering tools, ensuring scalable and efficient software products.
Collaborate cross-functionally, mentor junior team members, build client relationships, and apply data insights to inform software development and technical standards.
Bachelor's degree in Accounting, Information Technology, Engineering, Commerce, MBA (finance related), or M.Com.
Minimum 3 years of relevant work experience.
Proficiency in English (oral and written).
Not explicitly mentioned in the JD: specific location or regulatory requirements; travel up to 20%.
Strong technical expertise on Databricks platform including workflows, Delta Lake, Unity Catalog, and AI capabilities like Genie.
Advanced data engineering skills with PySpark, Python, SQL, and Azure cloud services including DevOps and Data Services.
Experience in designing scalable enterprise data pipelines, CI/CD setup, automated testing, and knowledge of distributed systems and Apache Spark framework.