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Senior Data Engineer
Not specifiedFull-timeData EngineeringIT Consulting
Build data-driven solutions for clients using large-scale data and cloud tools across AWS, Google Cloud, and Azure.
Responsibilities
- Lead the design and development of data solutions for client projects.
- Understand client needs, model data, select tools, and define interfaces and dashboards.
- Develop data pipelines, data lakes, data warehouses, AI/ML models, dashboards, and reports.
Requirements
- At least 5 years of relevant data engineering experience.
- Experience building Python-based data pipelines and using ETL/ELT tools such as Glue, Rivery, Data Factory, or dbt.
- Strong SQL proficiency.
- Experience designing and developing cloud data warehouses using Redshift, Snowflake, or BigQuery.
- Experience with business intelligence and visualization tools such as Tableau, QuickSight, Power BI, or Looker.
- Fluent English.
Nice to have
- Experience with AI/ML tools such as SageMaker, Bedrock, BigQuery ML, Vertex AI, or Gemini.