Data Engineer

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