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Data Engineer

3 months ago

Plano, Texas, United States The AES Group Full time

Job title: BigData/ Data Engineer

Locations: Plano, TX

Duration: 12 Months

Job Description:

  • Expert in in AWS and Client Azure technology and design techniques as well as experience working across large environments with multiple operating systems/infrastructure for large-scale programs (e.g., Expert Engineers) starting to be firm-wide resources working on projects across Clients.
  • Is multi-skilled with expertise across the software development lifecycle and toolset.
  • May be recognized as a leader in Agile and cultivating teams working in Agile frameworks.
  • Sought out as a coach for at least one technical skill.
  • Strong understanding of techniques such as Continuous Integration, Continuous Delivery, Test, Driven Development, Cloud Development, resiliency, and security.
  • Stays abreast of cutting-edge technologies/trends and uses experience to influence the application of those technologies/trends to support the business; may give speeches outside the firm, write articles.

Technologies:

  • Databricks
  • Apache Spark
  • Python(and/or Scala)
  • AWS
  • SQL
  • Java
  • CI/CD Pipeline tools

Minimum Industry experience: 10 years

Job Description:

  • Bachelor's degree or equivalent work experience.
  • Must have experience implementing at least 2 end-to-end projects with Databricks which includes components like.
  • Delta Lake.
  • Unity Catalog.
  • Databricks Connect.
  • DataBricks API.
  • Databricks Workflow Orchestration
  • Must be well-versed with Databricks Lakehouse concepts and its implementation in large-scale enterprise environments.
  • Must have a good understanding of creating complex data pipelines and use of data ingestion tools like nifi.
  • Must be well versed in using Apache Spark framework and strong in SQL and spark-SQL.
  • Must have excellent coding skills in Python(and/or Scala), preferably Python.
  • Must have strong performance optimization skills to improve efficiency and reduce cost using techniques like parallel processing.
  • Must have worked on AWS and should have working experience with AWS services like S3, Lambda, DynamoDB, SQS, and CloudWatch.
  • Must be able to work with architects and lead engineers to design solutions to meet functional and non-functional requirements.
  • Must have strong written and verbal communication skills.
  • Must have experience in an Agile environment.
  • A data engineering background is a plus.