Senior Data Engineer Job Description
We are seeking a highly skilled Senior Data Engineer to join our team. The successful candidate will play a crucial role in developing and maintaining data infrastructure, ensuring the accuracy and reliability of data, and driving business decisions with data-driven insights.
About the Role
This is a key position that requires strong technical expertise, leadership skills, and excellent communication abilities. The ideal candidate will have extensive experience in data engineering, including designing, building, and maintaining large-scale data systems, as well as working with various data technologies and tools.
* Key Responsibilities:
* Solve complex data problems to create data products that support experimental data analysis and prototyping.
* Build the data infrastructure and pipelines for the team.
* Integrate data from various sources using ETL or ELT processes.
* Create data models to organize and structure data for analysis and reporting.
* Implement processes to monitor data quality.
* Respect and advance governance and security principles.
* Optimize data storage and processing performance.
* Troubleshoot issues and ensure platform resilience.
* Collaborate with data analysts and scientists for data-driven insights.
* Play a significant role in enabling data-driven decision-making.
Qualifications and Experience
To be successful in this role, you will need to possess the following qualifications and experience:
* Bachelor's degree in a STEM field.
* At least 5 years of experience working in a data engineering role.
* Strong understanding of Agile development methodologies.
* Experience with common tools used for CI/CD for DataOps.
* Expertise in SQL and data analysis, as well as experience with at least one programming language (Python preferred).
* Expertise in developing and maintaining data models.
* Experience with developing solutions on cloud computing services and infrastructure in the data and analytics space (AWS preferred).
* Conceptual knowledge of data and analytics, such as dimensional modeling, ETL, reporting tools, data governance, data warehousing, structured and unstructured data.
* Some exposure to machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics.
Benefits and Opportunities
As a Senior Data Engineer, you will have the opportunity to work on challenging projects, collaborate with a talented team, and develop your skills in data engineering. You will also have access to ongoing training and professional development opportunities to help you grow in your career.
The company values diversity and inclusion and offers a collaborative and supportive work environment. We encourage applications from candidates who share these values and are passionate about data engineering.
If you are a motivated and experienced data engineer looking for a new challenge, please submit your application for this exciting opportunity.