Senior Data Engineer

1 month ago

Beaverton, United States Sunrise Systems, Inc. Full time
Our client, a leading apparel and sporting goods manufacturing company, is looking for a Senior Data Engineer. This is for an initial duration of 12 months and is a REMOTE position . The candidates must be able to work in US Pacific hours.
 
 
Job Title: Senior Data Engineer
Reference ID: 24-05247
Location: Beaverton, OR (REMOTE – PST Hours)
Duration: 12 Months
Job Type: Contract (Candidates must be able to work on W2 without VISA sponsorship)
 
Remote, PST hours
 
Description:
  • The team is looking for a Senior Data Engineer with experience in big data infrastructure ( big data engineering, cloud computing, and software development ) and system migration.
  • The ideal candidate will have a proven track record of designing and implementing scalable data solutions using AWS, Spark, and Python.
  • The candidate should have hands-on experience with Databricks, optimizing Spark applications, and building ETL pipelines.
  • Experience with CI/CD, unit testing, and big data problem-solving is a plus.
 
Required:
  • 5+ years in data engineering
  • Experience with AWS EMR, including cluster management and job optimization
  • Proficiency in Spark, including Spark Core, Spark SQL, and Spark Streaming
 
Ideal Candidate:
  • Hands on experience with Databricks and Lakehouse data
  • Migrating from AWS EMR to Databricks Lakehouse
 
Key Responsibilities:
  • Design, build, and maintain large-scale data pipelines using AWS EMR, Spark, and Python
  • Develop and optimize Spark applications and ETL pipelines for performance and scalability
  • Collaborate with product managers and analysts to design and implement data models and data warehousing solutions
  • Work with cross-functional teams to integrate data systems with other applications and services
  • Ensure data quality, integrity, and security across all data systems
  • Develop and maintain unit test cases for data pipelines and applications
  • Implement CI/CD pipelines for automated testing and deployment
  • Collaborate with the DevOps team to ensure seamless deployment of data applications
  • Stay up to date with industry trends and emerging technologies in big data and cloud computing
 
Requirements:
  • At least 5 years of experience in data engineering, big data, or a related field
  • Proficiency in Spark, including Spark Core, Spark SQL, and Spark Streaming
  • Experience with AWS EMR, including cluster management and job optimization
  • Strong skills in Python, including data structures, algorithms, and software design patterns
  • Hands-on experience with Databricks, including Databricks Lakehouse (advantageous)
  • Experience with optimizing Spark applications and ETL pipelines for performance and scalability
  • Good understanding of data modelling, data warehousing, and data governance
  • Experience with CI/CD tools such as Jenkins, GitLab, or CircleCI (advantageous)
  • Strong understanding of software development principles, including unit testing and test-driven development
  • Ability to design and implement scalable data solutions that meet business requirements
  • Strong problem-solving skills, with the ability to debug complex data issues
  • Excellent communication and collaboration skills, with the ability to work with cross-functional teams
 
Nice to Have:
  • Experience with Databricks Lakehouse
  • Knowledge of data engineering best practices and design patterns
  • Experience with agile development methodologies, such as Scrum or Kanban
 
 
 

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