Site Reliability Engineer

8 Months ago • 7-10 Years • Data Analyst

Job Summary

Job Description

Seeking a passionate Data Operations SRE with 7+ years of experience to design, implement, and maintain data pipelines, ensuring reliability and scalability. Must have strong understanding of data infrastructure concepts, data quality, and monitoring/alerting tools. Experience with AWS/Azure, Snowflake, Kafka, and data governance frameworks is preferred.
Must have:
  • Data Pipeline Design
  • Data Storage Systems
  • Data Quality Processes
  • AWS/Azure Experience
Good to have:
  • Snowflake Experience
  • Kafka Experience
  • Data Governance Frameworks
  • Machine Learning

Job Details

About the job

About IntegraConnect

Integra Connect delivers a comprehensive, integrated suite of cloud-based technologies and services that enable specialty groups to optimize clinical and financial performance as reimbursement shifts to value-based models. Connected by the IntegraCloud platform, the company’s core applications span population health including care management; advanced analytics; medication therapy management; practice management; and revenue cycle management. All are designed to help specialty practices transform operationally in adherence with complex regulations, including MACRA program requirements. Integra Connect partners with large groups in the U.S. focused on oncology and urology, as well as with other key healthcare constituents, including emergency medical services firms, hospitalist groups and life sciences companies.

Lead Site Reliability Engineer – Data Operations

Job Summary

We are seeking a passionate and experienced Data Operations Site Reliability Engineer (SRE) to join our dynamic team. As an SRE, you will play a critical role in ensuring the reliability, scalability, and performance of our data operations infrastructure. You will be responsible for designing, implementing, and maintaining our data pipelines, data storage systems, and data quality processes. You will also be responsible for monitoring our data systems for performance issues and proactively identifying and resolving potential problems.

Responsibilities

  • Design and implement data pipelines that are highly scalable, resilient, and performant.

· Develop and monitor systems to ensure that they meet service level objectives (SLOs).

  • Implement data quality processes to ensure that our data is accurate, consistent, and complete.

· Collaborate with development teams to ensure that data infrastructure meets the needs of applications.

  • Monitor data systems for performance issues and proactively identify and resolve potential problems.
  • Respond to incidents and outages quickly and effectively.
  • Automate tasks to improve efficiency and reliability.
  • Develop and maintain documentation for data systems.
  • Collaborate with data engineers, data scientists, and other stakeholders to ensure the success of data-driven initiatives.
  • Participate in Architecture/design sessions to make sure the systems are built with SRE mindset.

Requirements:

• Bachelor's degree in Computer Science or a related field with 7+ years of experience.

  • 3+ years of experience as a Site Reliability Engineer or Data Engineer.
  • Strong Programming experience in any on the languages like Python , Java , C# etc
  • Proven experience in designing, implementing, and maintaining data pipelines and data storage systems.
  • Strong understanding of data infrastructure concepts, including data storage, data processing, and data pipelines
  • Strong understanding of data quality principles and practices.
  • Experience with monitoring and alerting tools.
  • Experience with cloud computing platforms such as AWS or Azure.
  • Experience with data warehousing technologies such as Snowflake etc.
  • Experience with data streaming technologies such as Kafka .
  • Experience with data governance frameworks such as Data Lineage or Data Quality.
  • strong background with an orchestration tool of some kind (Mage, Dagster, Prefect, etc.)
  • Experience with machine learning and artificial intelligence.
  • US healthcare industry experience would be a plus

Personality & Attributes

  • Quick learner
  • Taking ownership of project end to end
  • Detail oriented
  • Excellent communication skills both written and verbal
  • Ability to collaborate with different teams and able to execute projects in a timely manner.

Note: we need candidates who are ready to join immediately.

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