Line of Service AdvisoryIndustry/Sector Not ApplicableSpecialism Data, Analytics & AIManagement Level AssociateJob 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 PWCAt 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 .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 considerationsJob Summary:We are looking for a skilled and experienced Data Engineer with 5–8 years of experience in building scalable data solutions on the Microsoft Azure ecosystem. The ideal candidate must have strong hands-on experience with Azure Databricks, Azure Data Factory (ADF), or Azure Synapse Analytics, along with Python and SQL expertise. Familiarity with Data Lake, Data Warehouse concepts, 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 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 tablesRequired Skills:· 4–8 years of experience in Data Engineering or related roles.· Hands-on experience in Azure Databricks, ADF, or Synapse Analytics· Proficiency in Python for data processing and scripting.· Strong command over SQL – writing complex queries, performance tuning, etc.· Experience working with Azure Data Lake Storage and Data Warehouse concepts (e.g., dimensional modeling, star/snowflake schemas).· Understanding CI/CD practices in a data engineering context.· Excellent problem-solving and communication skills.Good to Have:· 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.Mandatory skill sets:Azure Data Factory, Databricks, SynapsePreferred skill sets:SQL, ADF, ADLS, Synapse, Pyspark, Databricks, data modellingYears of experience required:7 – 10 yrsEducation qualification:Btech/MBA/MCAEducation (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Technology, MBA (Master of Business Administration)Degrees/Field of Study preferred:Certifications (if blank, certifications not specified)Required Skills Microsoft Azure ArchitectureOptional Skills Accepting Feedback, Accepting Feedback, Active Listening, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Emotional Regulation, Empathy, Inclusion, Industry Trend Analysis, Intellectual Curiosity, Java (Programming Language), Market Development {+ 11 more}Desired Languages (If blank, desired languages not specified)Travel Requirements Not SpecifiedAvailable for Work Visa Sponsorship? NoGovernment Clearance Required? NoJob Posting End Date
