Job Description

Line of Service AdvisoryIndustry/Sector Not ApplicableSpecialism Data, Analytics & AIManagement Level Associate & Summary A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.Creating business intelligence from data requires an understanding of the business, the data, and the technology used to store and analyse that data. Using our Rapid Business Intelligence Solutions, data visualisation and integrated reporting dashboards, we can deliver agile, highly interactive reporting and analytics that help our clients to more effectively run their business and understand what business questions can be answered and how to unlock the answers.*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 .Responsibilities: : \xc2\xb7Analyses current business practices, processes, and procedures as well as identifying future business opportunities for leveraging Microsoft Azure Data & Analytics Services. \xc2\xb7 Provide technical leadership and thought leadership as a senior member of the Analytics Practice in areas such as data access & ingestion, data processing, data integration, data modeling, database design & implementation, data visualization, and advanced analytics. \xc2\xb7 Engage and collaborate with customers to understand business requirements/use cases and translate them into detailed technical specifications. \xc2\xb7 Develop best practices including reusable code, libraries, patterns, and consumable frameworks for cloud-based data warehousing and ETL. \xc2\xb7 Maintain best practice standards for the development or cloud-based data warehouse solutioning including naming standards. \xc2\xb7 Designing and implementing highly performant data pipelines from multiple sources using Apache Spark and/or Azure Databricks. \xc2\xb7 Integrating the end-to-end data pipeline to take data from source systems to target data repositories ensuring the quality and consistency of data is always maintained \xc2\xb7 Working with other members of the project team to support delivery of additional project components (API interfaces) \xc2\xb7 Evaluating the performance and applicability of multiple tools against customer requirements \xc2\xb7 Working within an Agile delivery / DevOps methodology to deliver proof of concept and production implementation in iterative sprints. \xc2\xb7 Integrate Databricks with other technologies (Ingestion tools, Visualization tools). \xc2\xb7 Proven experience working as a data engineer \xc2\xb7 Highly proficient in using the spark framework (python and/or Scala) \xc2\xb7 Extensive knowledge of Data Warehousing concepts, strategies, methodologies. \xc2\xb7 Integrating the end-to-end data pipeline to take data from source systems to target data repositories ensuring the quality and consistency of data is always maintained \xc2\xb7 Working with other members of the project team to support delivery of additional project components (API interfaces) \xc2\xb7 Evaluating the performance and applicability of multiple tools against customer requirements \xc2\xb7 Working within an Agile delivery / DevOps methodology to deliver proof of concept and production implementation in iterative sprints. \xc2\xb7 Integrate Databricks with other technologies (Ingestion tools, Visualization tools). \xc2\xb7 Proven experience working as a data engineer \xc2\xb7 Highly proficient in using the spark framework (python and/or Scala) \xc2\xb7 Extensive knowledge of Data Warehousing concepts, strategies, methodologieMandatory skill sets:ADE, ADB, ADFPreferred skill sets:ADE, ADB, ADFYears of experience required:3-10 YearsEducation qualification:BE, B.Tech, MCA, M.TechEducation (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Engineering, Master of EngineeringDegrees/Field of Study preferred:Certifications (if blank, certifications not specified)Required Skills Databricks Platform, Extract Transform Load (ETL), PySpark, Python (Programming Language), Structured Query Language (SQL)Optional SkillsDesired Languages (If blank, desired languages not specified)Travel Requirements Not SpecifiedAvailable for Work Visa Sponsorship? NoGovernment Clearance Required? NoJob Posting End Date

PwC