AWS Data Engineer - Sr Lead Consultant

INDIA - BENGALURU - WHITEFIELD SITE, IN

Birlasoft

At Birlasoft we combine the power of domain, enterprise, and digital technologies to reimagine business potential. Surpassing expectations, breaking convention!

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About Birlasoft:

Birlasoft, a powerhouse where domain expertise, enterprise solutions, and digital technologies converge to redefine business processes. We take pride in our consultative and design thinking approach, driving societal progress by enabling our customers to run businesses with unmatched efficiency and innovation. As part of the CK Birla Group, a multibillion-dollar enterprise, we boast a 12,500+ professional team committed to upholding the Group's 162-year legacy. Our core values prioritize Diversity, Equity, and Inclusion (DEI) initiatives, along with Corporate Sustainable Responsibility (CSR) activities, demonstrating our dedication to building inclusive and sustainable communities. Join us in shaping a future where technology seamlessly aligns with purpose.

About the Job:

As a Data engineers you will work with Data Scientists to improve the quality and accuracy of the information, enabling businesses to make more responsible business decisions. You will also work with leaders across the organization to help support business decisions

 Title: AWS Data Engineer

Location: Bangalore/Pune/Chennai

Educational Background : Masters/Professional Degree

Key Responsibilities :

  • 10 - 12 years of IT experience with 6+ years of AWS Data Services experience
  • Design and architect end to end solutions on AWS and provide solution demo to the customer
  • Hands-on experience in Kafka, SPLUNK, Glue, PySpark, EMR, Lambda, DynamoDB, OpenSearch
  • Experience in Data pipeline design and development using Kafka, Splunk, Glue and EMR
  • Data storage design using Dynamo and Opensearch
  • Configuration and set up of AWS services for above data pipelines
  • Experience with integration of different data sources with Data Lake is required, design and implement data pipelines
  • Experience in creating data platform for Reporting, AI and Machine Learning
  • To be able to clearly articulate pros and cons of various technologies and platforms
  • Experience in create the Technical Specification Design

Skills Required:

  • Min 10+ years of relevant experience required
  • Client facing experience.
  • In-depth knowledge of domain Industry and business environment
  • Analytical and problem-solving capabilities

 

 

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Tags: AWS Data pipelines DynamoDB Kafka Lambda Machine Learning OpenSearch Pipelines PySpark Splunk

Perks/benefits: Team events

Region: Asia/Pacific
Country: India

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