IN Senior Associate Azure Data Engineer Data & Analytics Advisory Bangalore

Bengaluru Millenia, India

PwC

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Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior Associate

Job Description & 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 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 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, 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 firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. "

Responsibilities:

  • Design and implement highly available and scalable Azure cloud data solutions that meet business requirements.
  • Collaborate with cross-functional teams to design and implement solutions that meet business requirements.
  • Participates in the testing process through test review and analysis.
  • Developing and maintaining data lake and data warehouse schematics, layouts, architectures and relational/non-relational databases for data access and Advanced Analytics.

Required Qualifications:

  • Strong experience with Azure cloud technologies say- Azure Data Bricks, Lake house architecture, DataLake, Cosmos DB, Eventhub, Servicebus, Topic, blob storages, azure functions, AKS, key Vault,
  • Experience with data transformation and manipulation using Azure Databricks or similar tools
  • Solid scripting experience with Python, Pyspark
  • Experience with streaming data platforms – Kafka
  • Good working knowledge with Azure Infrastructure
  • Experience on data integrations with API's.
  • Experience working in an Agile development environment.
  • Working knowledge of CI/CD tools and concepts - Azure Pipelines, Github actions &Workflow,
  • Architect data ingestion solutions such as ETL, ELT’s on a wide set of data storage solutions.
  • Independent and able to manage and prioritize workload.
  • Ability to guide or lead junior resources to get desired project results.
  • Advanced troubleshooting skills to drive to root cause
  • Ability to manage ambiguity and solve undefined problems

Mandatory skill sets:

· Azure Data Services, including Azure Data Factory, Synapse Analytics, and Databricks.
· Proficiency in data transformation and ETL processes.
· Hands-on experience with Oracle to Azure Data Lake migrations.

Preferred skill sets:

 Azure Solutions Architect Expert certification.
· Databricks Certification.

Years of experience required:

4 to 8 years

Education qualification:

  • Bachelor’s degree in computer science, Applied Mathematics, Data Science, or Machine Learning.

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required: Bachelor of Engineering

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Microsoft Azure

Optional 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 Specified

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No

Job Posting End Date

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Agile APIs Architecture Azure Business Intelligence CI/CD Computer Science Cosmos DB Data analysis Data Analytics Databricks Data quality Data visualization Data warehouse ELT Engineering ETL GitHub Kafka Machine Learning Mathematics Oracle Pipelines PySpark Python RDBMS Streaming Testing

Perks/benefits: Career development

Region: Asia/Pacific
Country: India

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