Senior AssociateDatabricksData AnalyticsAdvisoryPAN India
Senior AssociateDatabricksData AnalyticsAdvisoryPAN India
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Job Description
Line of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
Data Analytics & AIManagement Level
Senior AssociateJob Description & 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 PWC
At 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 purposeled and valuesdriven 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 moreabout us.
Responsibilities:
Analyses current business practices processes and procedures as well as identifying future business opportunities for leveraging Microsoft Azure Data & Analytics Services.
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.
Engage and collaborate with customers to understand business requirements/use cases and translate them into detailed technical specifications.
Develop best practices including reusable code libraries patterns and consumable frameworks for cloudbased data warehousing and ETL.
Maintain best practice standards for the development or cloudbased data warehouse solutioning including naming standards.
Designing and implementing highly performant data pipelines from multiple sources using Apache Spark and/or Azure Databricks
Integrating the endtoend data pipeline to take data from source systems to target data repositories ensuring the quality and consistency of data is always maintained
Working with other members of the project team to support delivery of additional project components (API interfaces)
Evaluating the performance and applicability of multiple tools against customer requirements
Working within an Agile delivery / DevOps methodology to deliver proof of concept and production implementation in iterative sprints.
Integrate Databricks with other technologies (Ingestion tools Visualization tools).
Proven experience working as a data engineer
Highly proficient in using the spark framework (python and/or Scala)
Extensive knowledge of Data Warehousing concepts strategies methodologies.
Direct experience of building data pipelines using Azure Data Factory and Apache Spark (preferably in Databricks).
Hands on experience designing and delivering solutions using Azure including Azure Storage Azure SQL Data Warehouse Azure Data Lake Azure Cosmos DB Azure Stream Analytics
Experience in designing and handson development in cloudbased analytics solutions.
Expert level understanding on Azure Data Factory Azure Synapse Azure SQL Azure Data Lake and Azure App Service is required.
Designing and building of data pipelines using API ingestion and Streaming ingestion methods.
Knowledge of DevOps processes (including CI/CD) and Infrastructure as code is essential.
Thorough understanding of Azure Cloud Infrastructure offerings.
Strong experience in common data warehouse modelling principles including Kimball.
Working knowledge of Python is desirable
Experience developing security models.
Databricks & Azure Big Data Architecture Certification would be plus
Must be team oriented with strong collaboration prioritization and adaptability skills required
Mandatory skill sets:
Azure Databricks
Preferred skill sets:
Azure Databricks
Years of experience required:
310 Years
Education qualification:
BE B.Tech MCA M.Tech
Education (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
Microsoft Azure DatabricksOptional Skills
Accepting Feedback Accepting Feedback Active Listening Analytical Reasoning Analytical Thinking Application Software Business Data Analytics Business Management Business Technology Business Transformation Communication Creativity Documentation Development Embracing Change Emotional Regulation Empathy Implementation Research Implementation Support Implementing Technology Inclusion Intellectual Curiosity Learning Agility Optimism Performance Assessment Performance Management Software 16 moreDesired Languages (If blank desired languages not specified)
Travel Requirements
Not SpecifiedAvailable for Work Visa Sponsorship
NoGovernment Clearance Required
NoJob Posting End Date
Required Experience:
Senior IC
Employment Type
Full-Time
