Data Engineer


: Industry Standards


: 3 to 5 Years

Joining Date


Job Location

: Remote

Industry Type

: IT Service


: Software Development

Reporting To

: Manager

Job Type

: Full Time

Job Description

Responsibilities for Data Engineer:

  • Create and maintain optimal data pipeline architecture,
  • Assemble large, complex data sets that meet functional / non-functional business requirements.
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL in MySQL DB, Snowflakes and AWS ‘big data’ technologies.
  • Build analytics tools that utilize the data pipeline to provide actionable insights into patient in Adverse events.
  • Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
  • Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.
  • Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
  • Work with data and analytics experts to strive for greater functionality in our data systems.

Qualifications Required:

  • Should hold undergraduate / postgraduate degree in IT or non IT.
  • Advanced working SQL knowledge.
  • Working familiarity with a variety of databases like MySQL, Heatwave, Presto, Pinot, Hive, MongoDB, or Cassandra.
  • Experience building and optimizing ‘big data’ data pipelines, architectures and data sets in Snowflakes, NiFi, AWS Redshift etc.
  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
  • Strong analytic skills related to working with unstructured datasets.
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