Senior Data Engineer
1 week ago
The Senior Data Engineer will play a key role in designing, developing, and maintaining scalable data pipelines and data warehouse solutions to support business intelligence and analytics needs.
Collaborating closely with cross-functional teams, the engineer will focus on integrating data from various systems, optimizing reporting processes, and enabling actionable insights.
This role requires hands-on experience with modern data engineering tools, cloud technologies, and Agile development practices.
Key Responsibilities
- Collaborate with stakeholders to design data extracts and pipelines based on reporting requirements.
- Build and maintain scalable data pipelines from data warehouses to business intelligence tools.
- Ingest large and complex datasets into data warehouses in collaboration with IT DevOps teams.
- Architect all phases of software engineering, including requirements analysis, design, code development, and testing.
- Develop reusable components, frameworks, and libraries for data engineering processes.
- Perform design and code reviews to ensure alignment with best practices in scalability, security, and maintainability.
- Enhance system performance and infrastructure components while ensuring data security.
- Support the People Analytics team with standard datasets, reporting tools, and actionable insights.
- Research APIs, ensure compliance with business and security standards, and implement necessary updates.
- Lead change initiatives, maintain internal documentation, and coach team members on best practices.
- Leverage Agile methodologies to deliver high-quality solutions efficiently.
- Act as a mentor and resource for other data engineers, fostering knowledge sharing and collaboration.
- 3+ years of experience in data engineering and full lifecycle software development.
- Proficiency in modern programming languages such as Python, Java, or Scala.
- 2+ years of experience in SDLC within an Agile environment.
- Working knowledge of APIs, CI/CD, data architecture, governance, and Big Data technologies.
- Experience with cloud technologies (e.g., Docker, Kubernetes, AWS, Snowflake, Azure).
- Hands-on experience with Jenkins, GitHub, Spark, and relational databases.
- Expertise in ingesting and managing large, complex datasets.
- Strong experience gathering requirements and collaborating with end users.
- Experience in data extraction, manipulation, and quality assurance processes.
- Familiarity with statistical methodologies and measurements.
- Project management skills with experience leading teams or large-scale projects.
- Proficiency in creating user stories following Agile methodologies.
- Knowledge of Agile tools such as Rally or Swift.
Education: Bachelors Degree
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