We are looking for an experienced and passionate Data Engineer to join our rapidly growing TLV R&D location!
You will be instrumental in maintaining current data pipelines and the data warehouse, as well as investigating and implementing new technologies that will help meet future analytical needs.
Responsibilities include working alongside developers from the BI and Backend teams, architects and decision makers in order to implement data pipelines and improve data architecture and infrastructure.
You will be instrumental in maintaining current data pipelines and the data warehouse, as well as investigating and implementing new technologies that will help meet future analytical needs.
Responsibilities include working alongside developers from the BI and Backend teams, architects and decision makers in order to implement data pipelines and improve data architecture and infrastructure.
Requirements:
Bachelors degree in CS or other relevant field.
At least 3+ years of experience.
Experience in Python or other modern object-oriented programming languages.
Experience in Data Modeling using dbt or equivalent.
Experience with ELT platforms like Fivetran, Airbyte, etc.
Experience with Data Warehouse technologies like Snowflake, BigQuery, Redshift ,etc.
Experience in working and delivering end-to-end projects independently.
Experience with at least one cloud provider, preferably AWS.
Advantages:
Familiarity with DB internals, design considerations and management.
Familiarity with Orchestration platforms like Airflow, Luigi, Prefect, Dagster, etc.
Familiarity with Data Validation and Testing using dbt, Great Expectations or others.
Familiarity with Event Streaming platforms like Kafka. Redpanda, etc.
Bachelors degree in CS or other relevant field.
At least 3+ years of experience.
Experience in Python or other modern object-oriented programming languages.
Experience in Data Modeling using dbt or equivalent.
Experience with ELT platforms like Fivetran, Airbyte, etc.
Experience with Data Warehouse technologies like Snowflake, BigQuery, Redshift ,etc.
Experience in working and delivering end-to-end projects independently.
Experience with at least one cloud provider, preferably AWS.
Advantages:
Familiarity with DB internals, design considerations and management.
Familiarity with Orchestration platforms like Airflow, Luigi, Prefect, Dagster, etc.
Familiarity with Data Validation and Testing using dbt, Great Expectations or others.
Familiarity with Event Streaming platforms like Kafka. Redpanda, etc.
This position is open to all candidates.
