Role Overview
As a Senior Data Engineer, you will play a pivotal role in driving our data strategy and standard methodologies for data collection, pipelines, usage, and infrastructure.
What You Will Do
Work with large volumes of traffic data and user behaviors to develop pipelines that enhance raw data quality, break down complex data problems, and communicate feasible solutions proficiently.
Why It Might Be a Fit
You will collaborate with cross-functional teams to communicate data constellations and tools, leveraging your skills in reverse engineering, analytics, and creative problem-solving to devise data and BI solutions.
Requirements
- STEM undergraduate degree with 4+ years of work experience or STEM graduate degree with 2+ years of post-graduation work experience in Analytics/Measurement/Data Operations fields or consulting roles focusing on digital analytics implementations.
- Knowledge with relational and NoSQL data management systems (e.g., BigTable, HBase, Cassandra, MongoDB).
- Proficiency in Python and SQL.
- Experience with exploratory data analysis using tools like iPython Notebook, Pandas, and matplotlib.
- Demonstrated development of ongoing technical solutions while maintaining documentation and training impacted teams.
- Experience developing solutions to business requirements through hands-on discovery and exploration of data.
- Robust written and verbal communication skills, including the ability to translate technical concepts for non-technical audiences and vice versa.
- Experience building and deploying applications on a cloud platform (preferably Google Cloud Platform).
- Ability to influence and apply data standards, policies, and procedures.
Benefits
- Medical insurance
- Dental insurance
- Vision insurance
- 401(k) plan
- Life insurance coverage
- Disability benefits
- Tuition assistance program
- PTO
To apply for this job please visit career41.sapsf.com.
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