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:
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 designing and developing DWHs in the cloud – Redshift\Snowflake\Big Query is a big advantage.
Experience with BI & visualizations tools like Tableau\Quicksight\Power BI\Looker.
Knowledge and experience with AI\ML, working with
Sage Maker\Big Query ML\Vertex AI - advantage.
Strong analytical and problem-solving skills with attention to details.