Senior Data Engineer

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Principal Global Services

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Job Description

Responsibilities

  • Possesses 4-6 years of experience in developing and architecting with AWS data engineering solutions.
  • Design, build and operationalize large scale enterprise data solutions and applications using one or more of AWS data and analytics services S3, Glue, Lambda, SNS, EC2, RedShift, IAM and KMS
  • Should be able gather requirement from the analytics partners, propose the best cloud solution and implement it.
  • Follow established project execution processes, coding standard and industry best practices.
  • Should be aware about AWS and Data security principles.
  • Get actively involved in Training, self-development & knowledge sharing
  • Actively contribute to the organization level cloud initiatives.
  • Problem solver with analytical thinking and ability to apply root cause analysis.
  • Should have good learning attitude to quickly learn and implement any new Service/technology or enterprise guided initiatives.
  • Focus on continuous improvement in solutions and as individuals
  • Can easily adapt between working independently or collaboratively on a team
  • Experience in BI , Python , AWS services S3, Glue, Lambda, SNS, EC2, RedShift, IAM and KMS, CI/CD Pipelines in GitHub

Qualifications

Skills set:

  • 3-6 years of experience in being a data engineer
  • Experience with Python language, SQL and working with relational databases
  • Experience building and optimizing data pipelines, architectures, and data sets.
  • Experience with CI/CD Pipelines in GitHub and Jenkins
  • Excellent communication and collaboration skills, Ability to communicate what is relevant and important in a clear and concise manner.

Must have Skills: Experience with AWS services S3, Glue, Lambda, SNS, EC2, RedShift, IAM and KMS, CI/CD Pipelines in GitHub

Good To Have Skills

Hands on experience/Familiarity with one/more of the following technologies: Database, Data Visualization (Power BI), Scripting, ETL (Informatica PowerCenter)

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