AWS DataOps Engineer

9 Months ago • 3-7 Years • Devops

Job Summary

Job Description

AWS DataOps Engineer needed with 3-7 years of experience in building and maintaining robust data pipelines, automating ETL processes, and ensuring data quality. Strong Python, Pyspark, and SQL skills are required. Experience with AWS services like S3, VPC, APIGateway, Cloudwatch, SNS, SQS is a plus.
Must have:
  • Python, Pyspark
  • ETL processes
  • data pipelines
  • AWS services
Good to have:
  • IaaC experience
  • Data modelling
  • Hadoop/Spark
  • AWS Glue

Job Details

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Operations

Management Level

Associate

Job Description & Summary

A career in our New Technologies practice, within Application and Emerging Technology services, will provide you with a unique opportunity to help our clients identify and prioritise emerging technologies that can help solve their business problems. We help clients design approaches to integrate new technologies, skills, and processes so they can drive business results and innovation.

Our team helps organisations to embrace emerging technologies to remain competitive and improve their business by solving complex questions. Our team focuses on identifying and prioritising emerging technologies, breaking into new markets, and preparing clients to get the most out of their emerging technology investments.

AWS DataOps Engineer
>Candidates should have 3 - 7 years of IT Experience.
>Candidate should have experience in developing and maintaining robust data pipelines, automating
ETL processes, ensuring data quality and consistency, and implementing monitoring and alerting
mechanism.
>Candidate should have experience with the data lake or warehouse.
>Strong Python,Pyspark knowledge, and experience creating complex data pipelines
>Strong SQL knowledge
>Experience on Hadoop/ Spark/HIve/AWS Glue/AWS EMR/Lambda Functions etc
>Experience with Data modelling on AWS platform
>Candidate should have experience in managing the ETL pipelines.
>Candidate should have IaaC experience.
>Good knowledge of AWS Services S3,VPC,API Gateway,Cloudwatch,SNS,SQS etc

Mandatory skill sets-Python, Pyspark knowledge and experience in creating complex data pipelines, SQL,
Preferred skill sets-Good knowledge of AWS Services S3,VPC,API Gateway,Cloudwatch,SNS,SQS
Year of experience required-3 to 7 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 Web Services (AWS), Python (Programming Language)

Optional Skills

Communication

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date

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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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