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 environment 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 Responsibilities Requirement gathering and analysis Experience with different databases like Synapse SQL DB Snowflake etc Design and implement data pipelines using Azure Data Factory Databricks Synapse Create and manage Azure SQL Data Warehouses and Azure Cosmos DB databases Extract transform and load ETL data from various sources into Azure Data Lake Storage Implement data security and governance measures Monitor and optimize data pipelines for performance and efficiency Troubleshoot and resolve data engineering issues Provide optimized solution for any problem related to data engineering Ability to work with a variety of sources like Relational DB API File System Realtime streams CDC etc Strong knowledge on Databricks Delta tables Mandatory skill sets Azure Databricks ADF or Synapse Analytics Python Preferred skill sets Experienced in Delta Lake Power BI or Azure DevOps Knowledge of Spark Scala or other distributed processing frameworks Exposure to BI tools like Power BI Tableau or Looker Familiarity with data security and compliance in the cloud Experience in leading a development team Years of experience required 4 - 7 yrs Education qualification B tech MBA or MCA Education if blank degree and or field of study not specified Degrees Field of Study required Bachelor of Technology Master of Business Administration Degrees Field of Study preferred Certifications if blank certifications not specified Required Skills Microsoft Azure Optional Skills Accepting Feedback Accepting Feedback Active Listening Analytical Thinking 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 Inclusion Industry Trend Analysis 16 more Desired Languages If blank desired languages not specified Travel Requirements Not Specified Available for Work Visa Sponsorship No Government Clearance Required No Job Posting End Date

📌 In Sr Associate Azure Databricks & Synapse Developer Data & Analytics Advisory Pan India (Chennai)
🏢 PwC
📍 Chennai