Required Data Engineer.
What You'll Do?
Technical lead for the different data sources being utilized by most advance customers from technical requirements and data pipeline design to training and solution delivery.
Execute an extensive analysis to design the solution and describe it through architecture and design artifacts.
Present proposed solutions and maintain ongoing technical discussions with the customer across all levels, including exec.
Coach and supervise technical team members.
Build Data-prep best practices for technical deployments and extensive performance tests to our customers.
Work with R&D Data Connectors teams to design sophisticated and non trivial solutions.
Work with the Data Product Managers to understand product road-map and play an active role in defining features and changes in product requirements that influence the future customers usage of the product.
Lead complex troubleshooting forums including communication with customers technical exec - status update, expectation setting, present solution etc.
Requirements:
4+ years of experience with:
Data warehouse space.
Custom ETL design, implementation and maintenance.
Working with either a Map Reduce or an MPP system.
Schema design and dimensional data modeling.
Database Performance tuning.
Experience as a Data engineer or Java/Scala developer.
Development experience in a Big Data Cloud environment (at least one of: AWS, Azure, GCP).
Experience with big data solutions like Redshift, BigQuery, Snowflake, Hive, Presto, Neo4J, etc.