As a Data Engineer, you will design and develop data solutions for clients, creating data pipelines, data lakes, and data warehouses while employing advanced technologies. This role requires collaboration on understanding project needs and defining data models and dashboard interfaces.
Description
Requirements
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
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
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