What you'll do:
Gather data needs from internal customers like product and analysts, and translate those requirements into a working database and analytic software.
Develop data -centric software using leading-edge Big Data technologies. These include database design, batch, and Real-Time ETL pipelines.
End to end ownership of teams data assets including: data quality, operational ownership, on-call (during working hours)
Influence the software architecture and working procedures for building data and analytics solutions
Participate in design and code reviews
Independent and communicative, team player mind set - manage your own time, and work both independently and as part of a team
Be the go-to person for anything and everything regarding understanding the data exploration, pipelines, analytics, etc.
Requirements: Information Systems, Industrial Engineering / Computer Science degree / relevant work experience (army tech units and similar)
able to understand complex product flows, understand the business pain points and translate those to data solutions.
Dealing directly with internal customers regarding their data needs.
Expert in SQL in a large-scale data warehouse or data lake / lake house environment such as Spark, Databricks, Presto/Athena/Trino/Redshift
Experience with developing ETLs / data pipelines end to end- monitoring, orchestrating.
Cloud environment, preferably AWS using tools such as EMR/Spark, S3, EC2
Logging and monitoring tools such as Splunk, Grafana etc
knowledge of database / dimensional modelling / data integration tools
Writing scripts with languages like Python, and shell scripts in a Linux environment
AI experience with Agentic dev environments
This position is open to all candidates.