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Senior Data Engineer @ Useready

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 Senior Data Engineer

Job Description

Title: 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.

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Engineer
Employement Type: Full time

Contact Details:

Company: Useready
Location(s): Pune

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Keyskills:   python data management oracle analytical airflow verbal communication data warehousing problem solving data pipeline microsoft data engineering sql data quality apache data modeling data science writing oracle sql etl etl development communication skills etl process

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₹ 25-30 Lacs P.A

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