IN_ Manager – Azure Data Engineer – Data And Analytics_Advisory –Kolkata (GPF*57)

Job description
Line of ServiceAdvisoryIndustry/SectorNot ApplicableSpecialismData, Analytics & AIManagement LevelManagerJob Description & SummaryAt PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.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 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, ****** 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:Role : Azure Data Engineer Exp : 4—8 Years Location: Mumbai Job Description (Azure Data Engineer): Roles and Responsibilities: Responsible for data management activities related to the migration of on-prem sources to cloud system using Microsoft Azure PaaS Services and Azure Cloud Technologies, including the creation and use of ingestion pipelines, data lakes, cloud-based data marts & data warehouses, cloud-based semantic data services layer. Desired Candidate Profile: -4 to 8 years of professional experience with working knowledge in a Data and Analytics role with a Global organization -2+ years of experience in Azure cloud infrastructure for data services -Experience in leading development of Data and Analytics products, from Requirement Gathering State to Driving User Adoption -Hands-on experience of developing, deploying, and running cloud solutions on Azure services like Azure Data Lake Storage, Azure Data Lake Analytics, Azure Data Factory, Synapse. -Candidates with strong data transformation experience on ADF and ADB (Pyspark/Delta) are preferred -Strong proficiency in writing and optimizing SQL queries and working with databases -Ability to acquire specialized domain knowledge required to be more effective in all work activities -BI & Data-warehousing concepts are must. -Exposure to Azure Synapse will be good -Microsoft Azure Data engineer certified candidates are preferredMandatory skill sets: Azure Data Engineer/ADF/Azure Data LakePreferred skill sets:Azure Data Engineer/ADF/Azure Data LakeYears of experience required:4--8 yearsEducation qualification:B.E.(B.Tech)/M.E/M.TechEducation (if blank, degree and/or field of study not specified)Degrees/Field of Study required: Master Degree, Bachelor DegreeDegrees/Field of Study preferred:Certifications (if blank, certifications not specified)Required SkillsData EngineeringOptional SkillsAccepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Coaching and Feedback, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling {+ 33 more}Desired Languages (If blank, desired languages not specified)Travel RequirementsNot SpecifiedAvailable for Work Visa Sponsorship?NoGovernment Clearance Required?NoJob Posting End Date