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Senior Data Engineer

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Job Description - Senior Data Engineer

Responsibilities:

Data Pipeline Development:

  • Design, build, and maintain scalable and robust data pipelines to ingest, process, and transform data from various sources.
  • Collaborate with cross-functional teams to understand data requirements and implement efficient solutions.
  • Ensure data quality and integrity throughout the pipeline by implementing data validation and monitoring processes.

Frontend Development:

  • Develop interactive and user-friendly frontend applications using modern web technologies such as HTML, CSS, and JavaScript frameworks (e.g., React, Angular, Vue.js).
  • Implement responsive design principles to ensure seamless user experiences across different devices and screen sizes.
  • Work closely with UX/UI designers to translate design mockups into functional frontend components.

Data Visualization:

  • Create visually compelling and insightful data visualizations using tools like Tableau, Power BI, or D3.js.
  • Collaborate with stakeholders to understand analytical requirements and design intuitive dashboards and reports.
  • Continuously optimize and refine visualizations to improve data interpretation and storytelling.

Infrastructure and Tooling:

  • Deploy and maintain infrastructure components necessary for data processing and visualization, including cloud services (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes).
  • Evaluate and integrate third-party tools and libraries to enhance the capabilities of data pipelines and frontend applications.

Documentation and Collaboration:

  • Document technical designs, implementation details, and best practices to facilitate knowledge sharing and onboarding of team members.
  • Collaborate effectively with data scientists, analysts, and other stakeholders to understand business requirements and deliver solutions that meet their needs.

Qualifications:

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • Proven experience in data engineering, including designing and implementing data pipelines using technologies like Apache Spark, Kafka, or Apache Airflow.
  • Strong proficiency in frontend development with expertise in HTML, CSS, JavaScript, and popular frameworks/libraries (e.g., React, Angular, Vue.js).
  • Experience with data visualization tools such as Tableau, Power BI, or D3.js, including designing and implementing interactive dashboards and reports.
  • Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes).
  • Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment.
  • Effective communication skills with the ability to convey complex technical concepts to non-technical stakeholders.

Preferred Qualifications:

  • Previous experience in the manufacturing or engineering industry.
  • Knowledge of SQL and database systems (e.g., PostgreSQL, MySQL, MongoDB).
  • Understanding of Agile development methodologies and practices.
  • Experience with version control systems (e.g., Git) and CI/CD pipelines.

Come join our global, inclusive & diverse team


Our purpose is to improve the quality of life of everyone we touch through our innovative motion systems. We are a truly global team bound together by our shared values. Our culture is built on the diversity, knowledge, skills, creativity, and talents that each employee brings to the company. Our people are our company’s most valuable asset. We are committed to providing an inclusive, diverse and equitable workplace where employees of different backgrounds feel valued and respected, regardless of their age, gender, race, ethnicity or religious background. We are committed to inspiring our employees to grow, act with ownership and find fulfilment and meaning in the work they do.

Original job Senior Data Engineer posted on GrabJobs ©. To flag any issues with this job please use the Report Job button on GrabJobs.
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