Data Engineer
Posted Updated 7
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Summary
CommIT is hiring a Data Engineer for its Data Analytics Department to design and build data-driven solutions for clients across AWS, GCP, and Azure. Day to day involves developing data pipelines, data lakes, DWHs, dashboards, and AI/ML models using tools like Python, SQL, dbt, Snowflake/Redshift/BigQuery, and BI platforms.
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