Data Engineer

Data Engineer – AWS Redshift - Airflow – PySpark - Redshift – Databricks – Data Pipelines

Empiric has received an exciting opportunity for a Data Engineer / Developer with 5+ years of experience in data engineering, especially in cloud data warehouse environments. AWS Redshift, WLM, distribution/sort keys, query execution plan analysis and optimization techniques. Good skills in PySpark and Apache Airflow is essential.

The Data Engineer should also have Solid understanding of data modelling principles, including dimensional modeling (Kimball), normalized models, and hybrid strategies.

The client expects strong SQL skills and deep understanding of query performance tuning in Redshift.

Skills/experience:

• AWS Redshift or AWS Glue
• Monitoring tools (CloudWatch, Redshift Console)
• Cloud data warehouse environments.
• Data versioning, CI/CD, and collaborative development practices in dbt.
• Pyspark
• Data pipelines
• SQL
• Apache Airflow

Term: 6 to 12 months plus possible extensions

Rate: Good day rate + Starter Bonus + Free Lunch Club experience

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

Term: 6 to 18 Months plus extensions

Day rate: Good rate (B2B is fine) + Starter Bonus + Free Lunch Club experience

This is a position is for one of the smartest logistical organisations on the planet.

Reach out to Woody on either [email protected] or (whatsapp is fine) +44 7887 416 338 for a confidential chat and more details on rate and this tremendous project.