Position Summary:The
Senior Data Engineer guides the development of GFS' Data Platform consisting of the data lake, analytics, enterprise data sandboxes, and certified internal data products. Identifies and translates Big Data challenges into technical approaches yielding actionable recommendations across multiple, diverse domains. Helps define the team's technical design principles and has the tenacity to implement them.
Guides the Data Engineering team in their collaboration with teams across IT as well as the organization. Contributes to the design and architecture of Data Engineering technical solutions in an agile and incremental manner. Empathizes with the challenges the business faces and helps develop a technical solution to address them.
Is a leader in refining and following team processes to increase efficiency and capacity. Has extremely strong personal skills to develop relationships with and become a mentor to more junior developers.
What you will do:- Provide expertise and guidance in defining the technical strategy and direction for the Data Platform environment at GFS, including tools, techniques, and processes.
- Provide guidance to the scrum master and product owner to determine priority and effort for features.
- Mentor to other team members in the appropriate use and application of new and existing tools and processes.
- Design and build technology solutions across multiple initiatives at the same time.
- Automate repetitive data engineering tasks and build proactive monitoring and alerting systems.
- Collaborate with others inside and outside of IT to rapidly architect, design, prototype, and implement technical architectures to deliver insightful solutions.
- Translate business analytics problems into technical solutions that yield actionable recommendations across multiple, diverse domains.
- Document technical designs and systems thoroughly to ensure long-term sustainability and ease of knowledge transfer within the team
- Help build a high-performing team focused on results and relationships within and outside of the team.
- Perform other duties as assigned.
When you will work:- Monday to Friday, 8am to 5pm
- Hybrid schedule, 4 days in office in Wyoming MI or Atlanta GA, with 1 day remote
What you will bring to the table:- Bachelor's degree in Computer Science, Information Technology, Advanced Analytics, Statistics, or related field required.
- At least 8 years of experience in technical design, development, and delivery of data engineering technical solutions.
- Highly experienced with cloud computing platforms, preferably Google Cloud Platform (GCP).
- Deep experience with Change Data Capture (CDC) processes (Qlik Replicate preferred) and relational database management/optimization (specifically PostgreSQL and SQL Server).
- Highly experienced in modern data movement technologies (e.g. serverless, real-time, as needed computing, low latency data movement, high volume data management, etc...).
- Proven track record as a self-starter and quick learner with strong documentation skills, capable of taking ownership of existing systems.
- Expert in modern devops practices to deliver code quickly with a high degree of confidence and quality
- Business Influence - Ability to present and explain technical and complicated information in an easy to understand format, both verbally and in writing.
- Highly experienced in understanding and developing complex data models
- Knowledge of data governance, expectations and leading practices
- Business Judgement: High degree of ingenuity, creativity, and innovation to solve unique and complex business challenges; evaluate alternative solutions, considering costs and benefits.
- Preferred languages include but are not limited to Python, Terraform, SQL and Java.
- Preferred tool experience include but not limited to Apache Airflow, Kafka, Qlik Replicate, PostgreSQL, SQL Server, Solarwinds DPA.
- Experience working with the SAP data model.
- Experience working with artificial intelligence / machine learning platforms and practices.
