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

As a Data Engineer in a multi cloud company, you will build data-driven solutions for our customers using cutting-edge data tools and large-scale data on AWS\GCP\Azure.

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 Pipelines, Data Lakes, DWHs, AI\ML models, Dashboards and reports using advanced tools and leading technologies.

Requirements:

• 5+ years of relevant experience as Data Engineer – a must.

• Experience with Python based data pipelines/ETLs and other ETL\ELT tools (such as Glue, Rivery, Data Factory, DBT).

• High Proficiency in SQL – a must.

• Experience designing and developing DWHs in the cloud – Redshift\Snowflake\BigQuery is a must.

• Experience with BI & visualizations tools like Tableau\Quicksight\Power BI\Looker.

• Knowledge and experience with AI\ML (working with tools like SageMaker\ Bedrock\ Q\ BigQuery ML\ Vertex AI\ Gemini) - big advantage.

• Strong analytical and problem-solving skills with attention to details.

• High self-learning skills

• Fluent English