Digital Data Engineer
Job Description
- Work with business teams to understand requirements, and translate them into technical needs
- Gather/organize large & complex data assets, and perform relevant analysis
- Ensure the quality of the data in coordination with Data Analysts and Data Scientists (peer validation)
- Propose and implement relevant data models for each business case
- Create data models and optimize queries performance
- Communicate results and findings in a structured way
- Partner with Product Owner and Data Analysts to prioritize the pipeline implementation plan
- Partner with Data Analysts and Data scientists to design pipelines relevant for business requirements
- Leverage existing or create new "standard data pipelines" within the company to bring value through business use cases
- Ensure best practices in data manipulation are enforced end-to-end
- Actively contribute to Data governance community
- Remains up to date on company's standards, industry practices and emerging technologies
Requirements
Key Functional Requirements & Qualifications:
- Experience working with a variety of cross-functional teams
- Good understanding of agile/scrum development processes and concepts
- Able to work in a fast-paced, constantly evolving environment and manage multiple priorities
- Pragmatic and capable of solving complex issues
- Service-oriented, flexible team player
- Attention to detail & technical intuition
- Excellent written, verbal, and interpersonal skills for executive level communication and collaboration
- Fluent in English (Other languages a plus)
Key Technical Requirements & Qualifications:
- Bachelor's Degree or equivalent in in Computer Science, Engineering, or relevant field
- Experience with AWS cloud services (Azure & GCP a plus)
- Good knowledge of SQL and relational databases technologies/concepts
- Experience working with data models and query tuning
- Experience in Data warehousing solutions (Snowflake a plus)
- Experience in Integration Services (IICS, Tibco a plus)
- Working knowledge of scripting languages (Python, R a plus)
- Familiarity with Source Code Management Tools (GitHub a plus)
- Familiarity with Visualization Tools (PowerBI, Tableau a plus)
- Familiarity with Project Management Tools (JIRA, Confluence a plus)
- Familiarity with Service Management Tools (Service Now a plus)
- Experience working in life sciences/pharmaceutical industry is a plus
- Relevant cloud certifications (AWS, Azure, Snowflake, IICS) are a plus
- Experience on working within compliance (e.g.: quality, regulatory - data privacy, GxP, SOX) and cybersecurity requirements is a plus
- Mentoring and/or technology evangelism/advocacy experience
Additions For Data Engineer - Database
- Strong experience in automation tools and methodologies specifically using Gitlab, Github action, Terraform, Ansible
- Experience with programming languages such as Python, JSON, YAML, Shell Scripting.
- Experience with backup system like Netbackup & CommVault
- Good knowledge of ServiceNow and monitoring tool such as Splunk, BPPM
Additions for Data Engineer - RWE
- Experience with Real World Data (e,g, EHR, Claims) and standard data models (e,g, OMOP, FHIR)
- Experience using frameworks to create pipelines (e.g. Apache Airflow, Kedro)
Date Posted
08/30/2022
Views
5
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