
Principal Big Data Specialist
2 weeks ago
Job Title: Senior Data Engineer
Role Description: We are seeking a skilled and motivated Data Engineer to join our organization.
Key Responsibilities:
- Design, develop, and maintain large-scale data processing systems.
- Collaborate with cross-functional teams to ensure seamless data integration and analytics solutions.
- Develop and implement data pipelines using ETL and workflow management tools.
- Ensure high-quality data and implement best practices for data governance and security.
- Stay up-to-date with emerging trends and technologies in data engineering and analytics.
Requirements:
- Over 6 years of experience as a Data Engineer or in a similar role.
- Experience with data pipeline, ETL and workflow management tools (e.g., Databricks, Data Factory).
- Proficiency in programming languages such as SQL, Python, R, or Scala.
- Strong experience with SQL and database management (e.g., MySQL, PostgreSQL, SQL Server).
- Excellent problem-solving and analytical skills.
- Strong understanding of data architecture, data modelling, and ETL processes.
- Ability to work in a fast-paced, dynamic environment and manage multiple tasks simultaneously.
- Strong communication and collaboration skills.
- Experience with best practice UX / UI design & development of Business Intelligence data visualisation / exploration tools (Power Bi, Qlik etc)
- Familiarity with SDLC and Agile ways of working.
- Familiarity with DevOps tools and practices (e.g. Jenkins, Azure DevOps, etc).
- Familiarity with Atlassian tools like Bitbucket, JIRA, Confluence.
Education:
- Bachelors or Masters degree in computer science, data science, software engineering, information systems or a similar field or equivalent experience.
Preferred Qualifications:
- GxP and Non GxP SDLC experience
- Knowledge of data governance and data security best practices.
- MS Power Platform / power apps experience
- Cloud DevOps knowledge (e.g. Terraform)
- Certifications in cloud data technologies (e.g. Azure Data Fundamentals)
- Basic data science experience and knowledge.
Other Requirements:
- English language required.
- May require travel 10-20% of time based on project locations.
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