Data Engineer
Description 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