IN_Senior Associate_Pyspark_Data &… at PwC · Kolkata

IN_Senior Associate_Pyspark_Data & Analytics_Advisory_PAN India Location: Kolkata DN 57 Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & 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 benefits, 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 about us. 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: Job Description (JD)AzureData Engineering role focused onAzure Databricks with PySpark(must have) capabilitiesandstrong emphasis onPython, SQL, Data Lake, and Data Warehouse: Job Summary: We are looking for a skilled and experiencedData Engineerwith5-8years of experience in building scalable data solutions on theMicrosoft Azure ecosystem. The ideal candidate must have strong hands-on experience withMicrosoft Fabric,Azure Databricksalong withstrongPySpark,Python andSQLexpertise. Familiarity withData Lake,Data Warehouseconcepts, and end-to-end data pipelines is essential. Responsibilities: Requirement gathering and analysis Experience with different databases like Synapse, SQL DB, Snowflake etc. Design and implement data pipelines usingMicrosoft Fabric &Databricks 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 optimizedsolutionfor 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 knowledgeonDatabricks, Delta tables Required Skills: 5–8 years of experience inData Engineeringor related roles. Hands-on experience inMicrosoft Fabric Hands-on experience inAzure Databricks Proficiency inPySparkfor data processing and scripting. Strong command overPython&SQL– writing complex queries, performance tuning, etc. Experience working withAzure Data Lake StorageandData Warehouseconcepts (e.g., dimensional modeling, star/snowflake schemas). Hands on experience in performance tuning&optimizationon Databricks & MS Fabric. Ensure alignment with overall system architecture and data flow. Understanding CI/CD practices in a data engineering context. Excellent problem-solving and communication skills. Exposure toBI toolslikePower BI,Tableau, orLooker. Good to Have: Experienced inAzure DevOps. Knowledge ofScalaor other distributed processing frameworks. Familiarity withdata securityandcompliancein the cloud. Experience in leading a development team. Mandatory skill sets: Pyspark/Data Engineer Preferred skill sets: Pyspark/Data Engineer Years of experience required: 3—8 Years Education qualification: B.E.(B.Tech)/M.E/M.Tech Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Master of Business Administration, Bachelor of Technology, Bachelor of Engineering Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills PySpark 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 Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date March 11, 2026