About
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
Languages
- English
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