Commit Data is looking for a highly skilled Data Engineer to join our growing Data Group.

As a Data Engineer, you will build data-driven solutions using cutting-edge data tools and large-scale data on AWS data infrastructure and other clouds as well.

Job Responsibilities:

• Lead data solutions design and development for our various clients and projects.
• Design the solution by understanding the needs, modeling the data, choosing the right tools and defining the interfaces/dashboards.
• Develop Data Pipe Lines, Data Lakes, DWHs, using Phyton, Spark, EMR, Glue, Athena, Airflow, DBT and many other leading technologies.
  
  

Requirements:

• 3+ years of relevant experience as Data Engineer – a must.
• Experience with Python based data pipelines/ETLs and other ETL\ELT tools.
• High Proficiency in SQL – a must.
• Experience with BI & visualizations tools like Tableau\Quicksight\Power BI\Looker.
• Experience designing and developing DWHs in the cloud – Redshift and\or Snowflake is a big advantage.
• Knowledge and experience with AI\ML - advantage.
• Strong analytical and problem-solving skills with attention to details.
• Ability to lead end-to-end projects.
• Independent, proactive and self-motivated.
• Great communication and interpersonal skills, a team player.
• Fluent English – a must.