Data Engineer

5 days ago

Albany, NY, United States Kaav Inc. Full time

Job Title: Data Engineer (Only USC and GC)

Note: 2 to 4 years of healthcare experience is must

Location: Albany but Remote (Prefer candidates from Albany, the candidate need to be available to visit client location on need basis)

Duration: 4-6 Months (Possibility of extension)

Job Requisition:

Role Overview

We are seeking a skilled Data Engineer. The ideal candidate will have a strong background in data engineering, analytics, and modern data architecture, with specific expertise in healthcare data processing and claims analytics. This role requires adaptability to a fast-paced Agile environment, excellent problem-solving skills, and the ability to assess and communicate data quality nuances effectively.

Responsibilities

  • Build and maintain high-quality data pipelines to support analytic solutions
  • Process and analyze standard healthcare data, including claims, ensuring accuracy and quality
  • Design and implement modern data architecture patterns, such as medallion or data lakehouse
  • Partner with business analysts to align technical solutions with business requirements
Requirements
  • Education: Bachelor's degree in Computer Science, MIS, Engineering, or a related field
  • Experience:
    • At least 5 years in data engineering or architecture, with a minimum of 2 years working with healthcare claims data
  • Demonstrated experience in at least 1-2 Agile projects, showcasing adaptability to changing priorities and evolving requirements
  • Technical Skills:
    • Expertise in SQL and data analysis
  • Proficiency in programming languages such as Python or Scala
  • Familiarity with cloud computing platforms (e.g., AWS, Azure) and Infrastructure as Code (IaC) tools
  • Experience with big data tools and frameworks, such as Hadoop, BigQuery, Hive, Impala, or Spark
  • Knowledge of business intelligence tools like Tableau, Power BI, or Looker
  • Understanding of modern data architecture patterns, including medallion and data lakehouse
  • Soft Skills:
    • Strong problem-solving abilities and adaptability in Agile environments
  • Excellent communication skills to effectively convey data quality nuances and technical concepts
  • A strong work ethic and flexibility to meet evolving project demands
Preferred Qualifications
  • Familiarity with machine learning, data science workflows, and statistical & data-mining techniques
  • Experience in developing and maintaining data warehouses and big data solutions
  • Exposure to Linux environments and Big Data development

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