Data Engineer - Airflow/ PySpark/ Redshift

Data Engineer

PySpark, Apache Airflow -AWS Redshift- SQL - dimensional modelling (Kimball)- Cl/CD - DBT (data build tool)

Remote - EU

Empiric has received an exciting opportunity for a Data Engineer with strong experience PySpark and Apache Airflow.

Proven expertise in AWS Redshift, internals, WLM, distribution/sort keys, query execution plan analysis, optimization techniques. Plus strong SQL skills and very good understanding of query performance tuning in Redshift. Good knowledge of monitoring tools (CloudWatch, Redshift Console) is a big asset.

Strong SQL skills and deep understanding of query performance tuning in Redshift.

Also, the client is looking for Data Engineers with hands-on experience with dbt (data build tool) for data transformation and model building. Together with familiarity with data versioning, Cl/CD, and collaborative development practices in dbt.

Skills/experience:

•PySpark

•Apache Airflow

•dbt (data build tool) for transformation and model building.

•AWS Redshift

•SQL I query performance tuning in Redshift.

•Dimensional modelling

•Monitoring tools (CloudWatch, Redshift Console)

•Data versioning, Cl/CD, and collaborative development practices in dbt.

This is a critical position, so contact Kai for a confidential chat and more details.

kai.withers@empiric.com

MOBI: +44 7585275914

W: www.empiric.com

Empiric is one of the fastest-growing technology and transformation recruitment agency's specialising in data, digital, cloud and security. We supply technology and change recruitment services to businesses looking for both contract and permanent professionals. We are committed to delivering more female candidates and those from minority backgrounds and be instrumental in changing the gender and diversity imbalance within the tech sector.

Empiric Solutions is acting as an Employment Agency in relation to this vacancy.