IN_Senior Associate_ AWS Data Engineer_D&A_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.

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:

• 6-8 years of hands on application to lead and perform the development with experience in one or more programming languages like Python, Pyspark etc. 
• 4-6 years of hands on experience in development and deployment of cloud native solutions leveraging AWS Services: Compute(EC2, Lambda), Storage (S3), Database (RDS, Aurora, Postgres, DynamoDB), Orchestration (Apache Airflow, Step Function, SNS),
• ETL/Analytics(Glue, EMR, Athena, Redshift), Infra (Cloud Formation, Code Pipeline), Data Migration (AWS DataSync, AWS DMS), APIGateway, IAM etc.
• Expertise in the handling large data sets and data models in terms of design, data model creation, development of data pipeline for data ingestion, migration and transformation 
• Strong on SQL Server, stored procedure

Knowledge on API's , SSO, streaming technology will be nice to have

Mandatory skill sets: 

AWS, Pyspark, Spark

Preferred skill sets:

AWS, Pyspark, Spark

Years of experience required:

6 - 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: Master of Business Administration, Master of Engineering, Bachelor of Engineering

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

AWS Devops, PySpark

Optional Skills

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date