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Data Engineer II: 25-03549

San Diego, CA 92129

Posted: 01/09/2025 Job Category: Data Engineering, Big Data & Hadoop Job Number: 24497154 Country:

Job Description

Primary Skills: SQL-Expert, Python-Intermediate, Spark-Intermediate, Data Modeling-Advanced, AWS-Advanced
Contract Type: W2 Contract
Duration: 7 Months 
Location: Mountain View or San Diego CA (#LI-Hybrid)
Pay Range: $70.00 - $78.00 Per Hour
#LP

Job Summary:

We are looking for a dynamic Data Engineering Specialist to join our team, responsible for developing advanced data transformation pipelines, optimizing algorithms, and managing large data sets efficiently. The ideal candidate will bring expertise in SQL database design, process documentation, and is proficient in Python, Hive, or Spark for data warehousing, querying, and schema management. This role involves developing technical solutions to enhance data accessibility, advising on technological resources for data needs, and creating analytical tools to drive business decisions.

Key Responsibilities:

  • Develop and maintain efficient data transformation pipelines.
  • Optimize algorithms and manage the schema and data for large datasets.
  • Aggregate, analyze, and provide actionable insights from various data sets.
  • Develop, optimize, and maintain SQL databases and procedures.
  • Create reports, dashboards, and analytical tools for business users.

Must-Have Skills:

  • Strong proficiency in SQL and database design.
  • Experienced in Python, Hive, or Spark for data management tasks.
  • Solid understanding of data structures, algorithms, and big data technologies.

Industry Experience:

  • Prior experience in data engineering within cloud environments, preferably AWS (S3, Athena, Glue).
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Akraya is an award-winning IT staffing firm consistently recognized for our commitment to excellence and a thriving work environment. Most recently, we were recognized Inc's Best Workplaces 2024 and Silicon Valley's Best Places to Work by the San Francisco Business Journal (2024) and Glassdoor's Best Places to Work (2023 & 2022)!
 
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