Senior Data Engineer

Cotiviti Nepal

Cotiviti is a leading healthcare solutions and analytics company headquartered in the United States, with a total of more than 4,000 employees in offices across the U.S. and in India, Nepal and Canada.  Cotiviti has been in business for more than two decades (including predecessor companies), and our solutions have been well proven and tested. Our clients are primarily health…

Job Information

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    Duty Station Kathmandu
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    Type of Appointment Full time
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    No. of Openings 3 openings
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    Salary Negotiable / Monthly
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    Job Level : Senior Level
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    Job Experience : 5+ years
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    Job Category IT and ICT Engineering
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    Job Qualification : Bachelor
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    Posted Date : May 09, 2022

Job Description

  • Build data pipelines as per data transformation specifications to convert source data to be loaded into data lake using proprietary big data processing platform
  • Supports and improves current data ingestion processes for our proprietary healthcare data applications and systems
  • Develop and maintain data engineering processes using a variety of tools including T-SQL, Spark and Scala, and shell scripting. Generally focused on data ingestion for healthcare data management, data validation, statistical report generation, and program validation.
  • Develop tools and techniques for improving process efficiencies and data performance.
  • Review & test the data to ensure accuracy & validity of the data prior to uploading the data to the data lake.
  • Data Troubleshooting and Analysis
  • Perform data analysis, data mining and investigations and identify root cause of issues using several cutting-edge data analysis tools.
  • Work with Technical Operations to troubleshoot complex database issues related to the entire environment including OS, storage, and servers. Provide off hours support to resolve production issues when necessary
  • Mentor junior team members in data engineering and quality best practices
  • Oversees the delivery of business priorities in a Scaled Agile Framework (SAFe) environment

Required Qualification & Experience

  • MUST: 5+ years experience with data aggregation, standardization, linking, quality check mechanisms, and reporting.
  • MUST: 5+ years experience with big data technologies like Hadoop and Spark.
  • MUST: 5+ years experience with RDBMS (Oracle, MS SQL Server) and using SQL or other data integration/ETL tools.
  • MUST: Solid understanding of Linux environments; strong knowledge of shell scripting and file systems.
  • Bachelor’s degree in relevant field such as Computer Science, Engineering, a related field, with 8-10 years of industry experience.

Preferred Qualifications:

  • Experience with healthcare data preferably in a data operations role.
  • Data expert with the ability to debug data issues, identify root causes and fix the data issues in a fast-paced environment.
  • Experience operating in an Agile environment.

How to Apply

To Apply, please click on the link below :