IN-Senior AssociateAzure Data EngineerData AnalyticsAdvisoryPAN India
IN-Senior AssociateAzure Data EngineerData AnalyticsAdvisoryPAN India
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
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 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.
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 modeling 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:
ADE ADB ADF
Preferred skill sets:
ADE ADB ADF
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: Master of Engineering Bachelor of EngineeringDegrees/Field of Study preferred:Certifications (if blank certifications not specified)
Required Skills
Android Debug Bridge (ADB)Optional 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
