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 firmxe2x80x99s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " & Summary: A career withinxe2x80xa6.Responsibilities:Design and build data pipelines & Data lakes to automate ingestion of structured and unstructured data that provide fast, optimized, and robust end-to-end solutionsPAN India2Senior Associate3-6Knowledge about the concepts of data lake and datwarehouseExperience working with AWS big data technologiesImprove the data quality and reliability of data pipelines through monitoring, validation and failure detection.Deploy and configure components to production environmentsTechnology: Redshift, S3, AWS Glue, Lambda, SQL, PySpark, SQLMandatory skill sets:AWS Data EngineerPreferred skill sets:AWS 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 Engineering, Master of Business AdministrationDegrees/Field of Study preferred:Certifications (if blank, certifications not specified)Required Skills AWS DevopsOptional 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 SpecifiedAvailable for Work Visa Sponsorship? NoGovernment Clearance Required? NoJob Posting End Date

PwC