Data Engineer

Industry: Pharma
Company size: 10K+
Not disclosed

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Job description

A fast-paced healthcare company on a mission to bring new medical innovations to the market is looking for a Data Engineer. The selected candidate will be responsible for creating and constructing highly scalable data pipelines to support the business of data solutions. The company increasing its skills as a specialized healthcare provider and actively rising. This is an exciting opportunity for developers who are eager to work in a fast-paced innovative environment. This position requires 6+ hours of overlap with the SGT time zone. 


Job Responsibilities:

  • Apply DataOps methodologies and establish best practices for ETL processes across various architecture tools, particularly enterprise database and data lake
  • Manage the data lake and data pipelines for key applications and systems
  • Understand the business requirements to develop and implement solutions
  • Design, develop and maintain scalable ETL processes
  • Establish version control of ETL processes and enable CI/CD pipelines 
  • Drive optimization and testing to improve the data quality
  • Support and contribute to the development standards for data pipelines
  • Develop capabilities to improve the data quality and integrity of the database systems

Job Requirements:

  • Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
  • At least 3+ years of relevant experience as a data engineer
  • A minimum of 2+ years of experience in managing data warehouses and data pipelines in systems, such as SAP, HANA, postgres, MongoDB, Talend, Hive
  • Excellent problem-solving skills when working with both structured / unstructured datasets
  • Demonstrable experience building and optimizing data pipelines, architectures, and datasets
  • Working knowledge of data visualization tools, such as Tableau / PowerBI
  • A minimum of 2+ years of experience in delivering hands-on technical projects
  • Database development experience (SQL programming, SP, Functions, Entity-Relationship design) is a must
  • Familiarity in Data warehousing concept
  • Exposure to cloud ecosystem (preferably Azure)
  • Working knowledge on API design and management
  • Knowledge of Networking/Infrastructure design is a plus
  • Experience in data lineage tool and techniques (for traceability of data life cycle) is preferred
  • Testing automation skills (data quality assurance) is a bonus
  • In-depth experience in the pharma industry, interfacing with a wide variety of stakeholders
  • Fluency in English language

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