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Senior Data Analytics Engineer

Posted 2024-11-07

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💎 Seniority level: Senior, 5+ years

💸 Salary: 155000 - 190000 USD per year

🔍 Industry: Healthcare

🏢 Company: Garner Health

⏳ Experience: 5+ years

Requirements:
  • 5+ years of software/data engineering experience (distributed data processing, data warehousing, data governance, Big Data, data variance, data privacy, and data quality).
  • Expertise in SQL and familiarity with Python.
  • Expertise in building scalable data pipelines, query optimization, and data modeling.
  • Experience working with orchestration tools (especially Argo) and databases (especially PostgreSQL).
  • Familiarity with distributed event-driven architectures. NATS experience is a plus.
  • Familiarity with healthcare or insurance is preferred.
  • Able to learn quickly and mentor others.
Responsibilities:
  • Build, optimize, and maintain data pipelines that power our business.
  • Define and build out abstracted reusable data sets for Business Intelligence, Marketing, and Data Science Research.
  • Design, build, and evangelize a federated data validation framework to monitor potential data inconsistencies.
  • Protect user privacy and security through best practices.
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🔥 Senior Data Analytics Engineer
Posted 2024-10-13

📍 United States

🏢 Company: Sophinea

  • Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
  • Minimum of 10 years of experience in ETL operations, Systems Operations, and Data Analytics.
  • Expert knowledge of SQL, git, various data formats (JSON, YAML, CSV), and MS Excel.
  • Expert Python and Bash skills including OO techniques.
  • Proficiency in Ruby, Go, and other languages is a plus.
  • Familiarity with Argo CD/Workflow, Kubernetes (K8s), containers, GitHub actions, Linux, and AWS is highly desirable.
  • Strong problem-solving skills and attention to detail.
  • Excellent communication and collaboration skills.
  • Ability to work independently and as part of a team.
  • Strong proficiency in SQL and experience with MySQL or similar relational databases.
  • Must be able to interact with databases using raw-SQL.
  • Solid understanding of data modeling concepts and techniques.
  • Experience with Jaspersoft or similar reporting tools is preferred.

  • Design, develop, and maintain ETL processes to extract, transform, and load data from various sources.
  • Monitor and optimize ETL workflows to ensure data quality and performance.
  • Collaborate with cross-functional teams to gather and understand data requirements.
  • Create and maintain documentation for ETL processes and data analytics solutions.
  • Create and maintain data models to support reporting and analysis needs.
  • Support and troubleshoot ETL processes and resolve any issues in a timely manner.
  • Perform data analysis, develop dashboards, and present actionable insights to stakeholders.

AWSPythonSQLBashData AnalysisElasticSearchETLGitKafkaKibanaKubernetesMySQLApache KafkaData analysisElasticsearchGoCollaborationCI/CDLinux

Posted 2024-10-13
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