AWS Data Engineer|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.

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

Desired Languages (If blank, desired languages not specified)