IN-Senior Associate_Azure Data Engineer_Data and Analytics_Advisory_Bangalore

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior Associate

Job 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 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. "

Job 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.

Responsibilities

Data Engineer Profile

PWC is looking for hands-on data engineers who can produce beautiful & functional code to solve complex analytics

problems. If you are an exceptional developer with an aptitude to learn and implement using new technologies,

and who loves to push the boundaries to solve complex business problems innovatively, then we would like to

talk with you.

Roles and Responsibilities: -

• Strong interpersonal skills and ability to manage and work with cross-functional teams.
• Being able to perform on multiple levels both as an individual contributor as well as driving initiatives.
• Go-getter attitude with a mindset of thinking innovative
• Experience building and optimizing ‘big data’ data pipelines, architectures and data sets involving petabyte
  
  
  

and terabyte of data.

• Experience performing root cause analysis on internal and external data and processes to answer specific
  
  
  

business questions and identify opportunities for improvement.

• Expand and grow data platform capabilities to solve new data problems and challenges
• Apply complex big data concepts with a focus on collecting, parsing, managing, and analyzing large sets
  
  
  

of data to turn information into insights

Technical Skill set:-

Must Have

• Extensive experience on big data platforms including Hadoop, Spark, Hive, Presto, Kudu.
• Hands-on experience in design and development of hybrid cloud architecture
• Extensive experience in at least one of the cloud platforms among Azure (Azure Data Factory, Databricks,
  
  
  

Sybase Analytics, Azure functions, Azure stream analytics) OR AWS (S3, lambda, glue, Quick sight,

EMR,EC2,Redshift ,Athena and Presto)

• Hands-on experience in developing large scale distributed applications in either java or python programming
  
  
  

language

• Hands-on experience in either one of the real time streaming applications- KAFKA OR Azure event hub OR
  
  
  

AWS Kinesis

• Advanced SQL programming skills
• Design DWH model, ensuring data design follows the prescribed reference architecture framework while reflecting appropriate business rules built for logical, physical and conceptual model.
• Experience in performance tuning of complex ETL mappings for relational and non-relational workloads
• Well versed with relational and no-Sql databases like MySQL, PostgreSQL, Mongo DB and Cassandra
• Hands-on experience in migration from on-premise systems to cloud.
  
  
  

Good to have

• Hands-on experience on microservice architecture
• Knowledge on spring boot framework
• Knowledge on developing scalable web applications
• Developing distributed applications using cloud platforms.
  
  
  

Mandatory Skill Sets

Pyspark, SQL, Databricks

Preferred Skill Sets

Pyspark, SQL, Databricks

Years Of Experience Required

5 - 8

Education Qualification

B.Tech / M.Tech / MBA / MCA

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

Degrees/Field of Study required: Bachelor of Engineering, Master of Business Administration, Master of Engineering

Degrees/Field Of Study Preferred

Certifications (if blank, certifications not specified)

Required Skills

Microsoft Azure

Optional Skills

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date