Senior Data Engineer

5+ years of experience serving as a data engineer or in a comparable engineering capacity

Strong skills with Python or a JVM language (Java, Scala)

Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.

Experience working with cloud data warehouses, specifically BigQuery or +Snowflake

Experience working with data platforms built on public cloud in a production setting.

Experience working with GCP native data toolset is preferred.

Having built ELT or ETL pipelines processing large amounts of data.

Experience with dbt or Airbyte is preferred.

Experience developing production Spark or Hadoop applications

Gained experience with a workload scheduling and orchestration tool such as Apache Airflow/Cloud Composer

Familiarity with modern DataOps (e.g. quality eng, testing, pipeline deployments etc) practices and IaC (e.g. Terraform)

Familiarity with the constellation of tools in the data engineering ecosystem. You should be comfortable picking up and learning a new tool, as well as recommending tools that have served you well.

Experience with batch, micro-batch, and real-time streaming architectures

Good internal and customer-facing communication skills

Experience with relational database management systems and change data capture (CDC) is a plus