Build dimensional data models to support business requirements and reporting needs.
Design, build and automate the deployment of data pipelines and applications to support reporting and data requirements.
Research and recommend technologies and processes to support rapid scale and future state growth initiatives from the data front.
Prioritize business needs, leadership questions, and ad-hoc requests for on-time delivery.
Collaborate on architecture and technical design discussions to identify and evaluate high impact process initiatives.
Work with the team to implement data governance, access control and identify and reduce security risks.
Perform and participate in code reviews, peer inspections and technical design/specifications.
Develop performance metrics to establish process success and work cross-functionally to consistently and accurately measure success over time
Delivers measurable business process improvements while re-engineering key processes and capabilities and maps to future-state vision
Prepare documentations and specifications on detailed design.
Be able to work in a globally distributed team in an Agile/Scrum approach.
Basic Qualifications
Bachelor's Degree in computer science or similar technical field of study or equivalent practical experience.
8+ years professional software development experience, including experience in the Data Engineering & Architecture space
Interact with product managers, and business stakeholders to understand data needs and help build data infrastructure that scales across the company
Very strong SQL skills - know advanced level SQL coding (windows functions, CTEs, dynamic variables, Hierarchical queries, Materialized views etc)
Experience with data-driven architecture and systems design knowledge of Hadoop related technologies such as HDFS, Apache Spark, Apache Flink, Hive, and Presto.
Good hands on experience with Object Oriented programming languages like Python.
Proven experience in large-scale distributed storage and database systems (SQL or NoSQL, e.g. HIVE, MySQL, Cassandra) and data warehousing architecture and data modeling.
Working experience in cloud technologies like GCP, AWS, Azure
Knowledge of reporting tools like Tableau and/or other BI tools.
