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Big Data Engineer

Exaways Corporation

Role: Big Data Engineer


Location: Plano, TX (Onsite)

Client: Artech / JPMorgan Chase


Mode: W2 Contract / Full Time Opening

Job Description:

  • Job Family 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 Client
  • 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 coach for at least one technical skill
  • Strong understanding of techniques such as Continuous Integration, Continuous Delivery, Test Driven Development, Cloud Development, resiliency, 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, writes articles
Technologies:



  • Data Bricks
  • Apache Spark
  • Python(and/or Scala)
  • AWS
  • SQL
  • Java
  • CI/CD Pipeline tools
Description:
  • Minimum Industry experience: 10 years
  • Bachelor's degree or equivalent work experience
  • Must have experience implementing atleast 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.
  • Data engineering background is a plus.
Vacancy posted 5 days ago
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