we are looking for an experienced and highly motivated Senior Data Engineer with high professional skills to join our AI, Data & Research unit. Spearhead the development of Data Lakehouse processes and modeling our company products; Define and popularize best practices in the data field.
Work closely with ML, Data engineers and architects from the AI, Data & Research unit as well as R&D software engineering teams.
identify opportunities and help specify data requirements to improve security for our company products and customers along with product managers and data scientists.
Requirements: What you need to succeed:
5+ years of data modeling techniques and concepts - such as Facts, Dimension, Partitions, etc.
5+ years of experience in designing and implementing data ingestion, ETL processes and 3rd party tools, preferably with experience in Data Lakehouse and Data Warehouse architecture
5+ years of hands-on experience in SQL and Python / Pyspark (or Java / Scala)
Data landscape understanding from vendor-specific to open-source (e.g. Snowflake/Redshift, DataBricks, Iceberg, Hadoop, DBT)
A versatile, proactive, team player, can-do attitude, quick learner, and a great executor
How you will stand out from the crowd:
Data Warehouse technologies (especially Iceberg or Snowflake)
AWS ecosystem (Glue, Athena, Kinesis, Redshift, SageMaker, EMR) an advantage
Experience with Data Science (Scikit-learn / TensorFlow / PyTorch, etc.) an advantage
Background in cyber security an advantage
Managerial experience in the data engineering field an advantage.
This position is open to all candidates.