Data Engineer-AWS Snowflake - Senior Associate

4 Months ago • 4-8 Years • DevOps

Job Summary

Job Description

This role requires expertise in architecting and delivering scalable cloud-based data solutions on AWS, including data lakes and hubs. Proficiency in Lambda or Kappa Architectures, AWS services like EMR, Glue, S3, Redshift, and DynamoDB is crucial. Experience with Big Data frameworks like Hadoop and Spark, DBT ELT Tool, and DevOps tools like Jenkins or Gitlab is mandatory.
Must have:
  • AWS Data Engineering
  • Lambda/Kappa Architectures
  • Hadoop and Spark
  • AWS Services (EMR, Glue)
Good to have:
  • AWS Streaming Services
  • DBT ELT Tool
  • DevOps Tools (Jenkins)
  • AWS Security

Job Details

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior Associate

Job Description & Summary

A career in our Advisory Acceleration Centre is the natural extension of PwC’s leading class global delivery capabilities. We provide premium, cost effective, high quality services that support process quality and delivery capability in support for client engagements.

Years of Experience: Candidates with 4+ years of hands on experience

Candidates with 4-8 years of hands on experience

Position Requirements: 

Must Have:

  • Experience in architecting and delivering highly scalable, distributed, cloud-based enterprise data solutions

  • Strong expertise in end-to-end implementation of Cloud data engineering solutions like Enterprise Data lake, Data hub in AWS

  • Proficient in Lambda or  Kappa Architectures

  • Should be aware of Data Management concepts and Data Modelling

  • Strong AWS hands-on expertise with a programming background preferably Python/Scala

  • Good knowledge of Big Data frameworks and related technologies - Experience in Hadoop and Spark is mandatory

  • Strong experience in AWS compute services like AWS EMR, Glue and storage services like S3, Redshift & Dynamodb

  • Good experience with any one of the AWS Streaming Services like AWS Kinesis, AWS SQS and AWS MSK

  • Troubleshooting and Performance tuning experience in Spark framework - Spark core, Sql and Spark Streaming

  • Strong understanding of DBT ELT Tool, and usage of DBT macros etc

  • Good knowledge of Application DevOps tools (Git, CI/CD Frameworks) - Experience in Jenkins or Gitlab with rich experience in source code management like Code Pipeline, Code Build and Code Commit

  • Experience with AWS CloudWatch, AWS Cloud Trail, AWS Account Config, AWS Config Rules

  • Good knowledge in AWS Security and AWS Key management

  • Strong understanding of Cloud data migration processes, methods and project lifecycle

  • Good analytical & problem-solving skills

  • Good communication and presentation skills

Position Requirements:

● Good analytical & problem-solving skills

● Good communication and presentation skills

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

Optional Skills

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

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About The Company

At PwC, our purpose is to build trust in society and solve important problems. We’re a network of firms in 152 countries with over 327,000 people who are committed to delivering quality in assurance, advisory and tax services. Find out more and tell us what matters to you by visiting us at www.pwc.com. PwC refers to the PwC network and/or one or more of its member firms, each of which is a separate legal entity.


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