Azure DevOps
- Capco
- 7 - 10 years
- Bengaluru
- 11 months ago
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Job Description
Utilizes software engineering principles to deploy and maintain fully automated data transformation pipelines that combine a large variety of storage and computation technologies to handle a distribution of data types and volumes in support of data architecture design. A Senior Data Engineer designs and oversees the entire data infrastructure, data products and data pipelines that are resilient to change, modular, flexible, scalable, reusable, and cost effective.
- Bachelor s degree in computer science engineering or related field
- Technical Leadership
- Consulting and managing business needs.
- Strong experience in Python is preferred but experience in other languages such as Scala Java, C#, etc is accepted.
- Experience building spark applications utilizing PySpark.
- Experience with file formats such as Parquet, Delta, Avro.
- Experience efficiently querying API endpoints as a data source.
- Understanding of Git workflows in software development.
- Using Azure DevOps pipeline and repositories to deploy and maintain solutions. Understanding of Ansible and how to use it in Azure DevOps pipelines.
Job Classification
Industry: BankingFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Data EngineerEmployement Type: Full timeContact Details:
Company: CapcoLocation(s): Bengaluru+ View Contact
Keyskills: Computer science GIT devops Consulting SCALA Management consulting Deployment Financial services Python Data architecture
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