Senior Engineer Data Engineering

Domain - Information Technology & Software Development

Experience with Big Data technologies such as Snowflake, Databricks, PySpark

Expert level skills in writing and optimizing complex SQL; advanced data exploration skills with proven record of querying and analyzing large datasets.

Solid experience developing complex ETL processes from concept to implementation to deployment and operations, including SLA definition, performance measurements and monitoring.

Hands-on knowledge of the modern AWS Data Ecosystem, including AWS S3

Experience with relational databases such as Postgres, and with programming languages such as Python and/or Java

Knowledge of cloud data warehouse concepts.

Experience in building and operating data pipelines and products in compliance with the data mesh philosophy would be beneficial.

Demonstrated efficiency in treating data, including data lineage, data quality, data observability and data discoverability.

Communication & Interpersonal Skills:

Excellent verbal and written communication skills. Ability to convey key insights from complex analyses in summarized business terms to non technical stakeholders and also ability to effectively communicate with other technical teams.

Strong interpersonal skills and the ability to work in a fast-paced and dynamic environment

Ability to make progress on projects independently and enthusiasm for solving difficult problems