Line of Service Advisory Industry Sector Not Applicable Specialism Data Analytics AI Management Level Senior Associate Summary At PwC our people in data and analytics focus on leveraging data to drive insights and make informed business decisions They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals In business intelligence at PwC you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage Why PWC At PwC you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities This purpose-led and values-driven work powered by technology in an setting that drives innovation will enable you to make a tangible impact in the real world We reward your contributions support your wellbeing and offer inclusive advantages flexibility programmes and mentorship that will help you thrive in work and life Together we grow learn care collaborate and create a future of infinite experiences for each other Learn more At PwC we believe in providing equal employment opportunities without any discrimination on the grounds of gender ethnic background age disability marital status sexual orientation pregnancy gender identity or expression religion or other beliefs perceived differences and status protected by law We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm s growth To enable this we have zero tolerance for any discrimination and harassment based on the above considerations We are seeking an experienced Databricks Engineer to design build and optimize large-scale data and analytics platforms on Databricks The ideal candidate will be responsible for developing high-performing Spark and Delta Lake workflows implementing best practices across governance and observability and driving performance tuning cost efficiency and automation for enterprise-scale workloads Responsibilities Design and develop high-performance Spark and Delta Lake workflows for data engineering and analytics workloads Lead the modernization and migration of ETL ELT pipelines to Databricks lakehouse architecture Implement Databricks best practices across Unity Catalog governance data quality and observability Optimize clusters SQL warehouses autoscaling and serverless compute for performance and cost efficiency Perform advanced Spark performance tuning partitioning shuffle optimization caching AQE skew mitigation I O improvements Develop and maintain observability frameworks and dashboards for Spark jobs pipelines and compute usage Automate cluster provisioning job orchestration and CI CD through reusable frameworks and scripts Analyze billing and utilization metrics to drive FinOps-based cost optimizations Evaluate and adopt emerging Databricks features such as Delta Live Tables Serverless Compute and Lakehouse Federation Partner with architects and data engineering teams to ensure scalability security and operational reliability Required Skills Experience Strong expertise in Delta Lake internals schema evolution versioning and data lifecycle management Proven ability in performance tuning and workload optimization on Databricks Experience with Unity Catalog Delta Live Tables and Databricks SQL Warehouses Experience in building automation frameworks for deployment and orchestration Familiarity with FinOps cost governance and utilization tracking in Databricks Excellent analytical problem-solving and communication skills Mandatory skill sets Databricks Preferred skill sets Exposure to Azure services ADLS ADF Synapse or AWS Glue EMR Experience with MLflow Feature Store or MLOps on Databricks Years of experience required - 5 years of hands-on experience with Databricks or Apache Spark Education qualification B E B Tech MCA M Tech M E - Bachelor s degree in computer science information technology engineering information systems and 8 years experience in software engineering or related area at a technology retail or data-driven company Education if blank degree and or field of study not specified Degrees Field of Study required Bachelor of Technology Bachelor of Engineering MBA Master of Business Administration Degrees Field of Study preferred Certifications if blank certifications not specified Required Skills Databricks Platform Optional Skills Accepting Feedback Accepting Feedback Active Listening Analytical Thinking Applied Macroeconomics Business Case Development Business Data Analytics Business Intelligence and Reporting Tools BIRT Business Intelligence Development Studio Communication Competitive Advantage Continuous Process Improvement Creativity Data Analysis and Interpretation Data Architecture Database Management System DBMS Data Collection Data Pipeline Data Quality Data Science Data Visualization Embracing Change Emotional Regulation Empathy Geopolitical Forecasting 24 more Desired Languages If blank desired languages not specified Travel Requirements Available for Work Visa Sponsorship Government Clearance Required Job Posting End Date

📌 In Senior Associate Databricks Data And Analytics Advisory Bangalore (Bengaluru)
🏢 PwC
📍 Bengaluru