Job Description

Line of Service AdvisoryIndustry/Sector Not ApplicableSpecialism Data, Analytics & AIManagement 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 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 firms growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " & Summary: A career withinxe2x80xa6.Responsibilities:Requirment gathering and analysisxc2xb7Experience with different databases like Synapse, SQL DB, Snowflake etc.Design and implement data pipelines using Azure Data Factory, Databricks, SynapseCreate and manage Azure SQL Data Warehouses and Azure Cosmos DB databasesExtract, transform, and load (ETL) data from various sources into Azure Data Lake StorageImplement data security and governance measuresMonitor and optimize data pipelines for performance and efficiencyTroubleshoot and resolve data engineering issuesProvide optimized solution for any problem related to data engineeringAbility to work with verity of sources like Relational DB, API, File System, Realtime streams, CDC etc.Strong knowledge on Databricks, Delta tablesTechnology: SQL, ADF, ADLS, Synapse, Pyspark, DatabricksMandatory skill sets:Azure Data EngineerPreferred skill sets:Azure Data EngineerYears of experience required:4-8Education qualification:Btech/MBA/MCAEducation (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Technology, Master of Business AdministrationDegrees/Field of Study preferred:Certifications (if blank, certifications not specified)Required Skills Microsoft AzureOptional 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 RequirementsAvailable for Work Visa Sponsorship?Government Clearance Required?Job Posting End Date