Location
Rio de Janeiro, RJ | Brazil
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
Job tags
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