• Job Description

  Req#: 546862WD

  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.

  Job Title: AWS Data Engineer
  Technology: AWS (EMR, Redshift, S3, Glue, Kinesis and Lambda), SQL, ETL, Python/Java
  Experience: 4 to 8 years
  Job Location: Bangalore

  Job Description Description of Services # Resources
  and Location
  of work

  Data Engineer (a) Work with Amazon's personnel and analysts to understand requirements

  and design solutions based on information provided by Amazon.
  (b) Build highly available distributed systems of data extraction, ingestion, and
  processing of large data sets using native Amazon and AWS technologies like
  EMR, Redshift, S3, Glue, Kinesis and Lambda.
  (c) Write SQL and data warehousing queries. Work with developers, TPM and
  PM on the overall end to end design and provide solutions in line with the
  design.
  (d) Design, implement and support an analytical data infrastructure providing
  ad-hoc access to large datasets and computing power.
  (e) Interface with other technology teams of Amazon to extract, transform, and
  load data from a wide variety of data sources using SQL and AWS big data
  technologies.
  (f) Build highly scalable, re-usable programs/scripts using Unix shell, Python,
  Ruby, Java etc. which solves data problems.
  (g) Develop integrations on ETL tools like Informatica, AWS Big Data
  technologies or any other 3rd party tool.
  (h) Update relevant documentation consisting of designs, technical
  specifications, and production support documentation.
  (i) Collaborate with Amazon's personnel and analysts and technical architects
  during the term of engagement.
  (j) Work with Amazon quality assurance / testing resources of Amazon to
  develop test scripts and support testing needs.
  (k) Assist in resolving defects identified during testing by either Party; or
  (l) Provide on-going status updates and highlight risks for the deliverables to
  Amazon.

  Mandatory skill sets- AWS (EMR, Redshift, S3, Glue, Kinesis and Lambda), SQL, ETL, Python/Java
  Preferred skill sets- Python/Java - Either of the one programming languages experience
  Year of experience required- 4 to 8 years
  Qualifications- Graduate Engineer or Management Graduate

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

  Degrees/Field of Study required:

  Degrees/Field of Study preferred:

  Certifications (if blank, certifications not specified)

  Required Skills

  Amazon Kinesis, Amazon S3, AWS Devops, AWS Glue, AWS Lambda, AWS Redshift, Electronic Medical Records (EMR), Extract Transform Load (ETL), Java, Python (Programming Language), Structured Query Language (SQL)

  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 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

• About the company

  PricewaterhouseCoopers is a multinational professional services network of firms headquartered in London, United Kingdom, operating as partnerships under the PwC brand.

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