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Senior Data Engineer @ Useready

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 Senior Data Engineer

Job Description

Senior Data Developer with Strong MS/Oracle SQL, Python Skills and Critical Thinking


  • Description:
    The EDA team seeks a dedicated and detail-oriented Senior Developer I to join our dynamic team. The responsibility of the successful candidate will be to handle repetitive technical tasks, such as Healthy Planet MS SQL file loads into a data warehouse, monitor Airflow DAGs, manage alerts, and rerun failed processes.
  • Additionally, the role will require the analyst to monitor various daily and weekly jobs, which may include generation of revenue cycle reports and data delivery to external vendors.
  • The perfect candidate will have a robust experience with MS/Oracle SQL, Python, Epic Health Systems, and other relevant technologies.
  • Overview:
    As a Senior Developer I at Useready team, you will play a vital role to improve the operation of our data load and management processes.
  • Your primary responsibilities will be to ensure the accuracy and timeliness of data loads, maintain the health of data pipelines, and monitor that all scheduled jobs are completed successfully.
  • You will collaborate with cross-functional teams to identify and resolve issues, improve processes, and maintain a high standard of data integrity.

Responsibilities:

  • Manage and perform Healthy Planet file loads into a data warehouse.
  • Monitor Airflow DAGs for successful completion, manage alerts, and rerun failed tasks as necessary.
  • Monitor and oversee other daily and weekly jobs, including FGP cash reports and external reports.
  • Collaborate with the data engineering team to streamline data processing workflows.
  • Develop automation scripts to reduce manual intervention in repetitive tasks using SQL and Python.
  • Ensure all data-related tasks are performed accurately and on time.
  • Investigate and resolve data discrepancies and processing issues.
  • Prepare and maintain documentation for processes and workflows.
  • Conduct periodic data audits to ensure data integrity and compliance with defined standards.

Skillset Requirements:

  • MS/Oracle SQL
  • Python
  • Data warehousing and ETL processes
  • Monitoring tools such as Apache Airflow
  • Data quality and integrity assurance
  • Strong analytical and problem-solving abilities
  • Excellent written and verbal communication

Additional Skillset

  • Familiarity with monitoring and managing Apache Airflow DAGs.

Experience:

  • Minimum of 5 years experience in a similar role, with a focus on data management and process automation.
  • Proven track record of successfully managing complex data processes and meeting deadlines.

Education:

  • Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field.

Certifications:

  • Epic Cogito
  • MS/Oracle SQL, Python, or data management are a plus.
  • Notice period - 0-30 days

Job Classification

Industry: BPM / BPO
Functional Area / Department: Engineering - Software & QA
Role Category: Software Development
Role: Data Engineer
Employement Type: Full time

Contact Details:

Company: Useready
Location(s): Bengaluru

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Keyskills:   Airflow DAGS Python SQL Data Engineering Data quality ETL Data warehousing

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