
Senior Data Solutions Architect
5 days ago
About us
We are a global organization that specializes in providing cutting-edge data solutions to businesses.
We are seeking an experienced data engineer who can develop modern data warehouse solutions using Snowflake and Azure Data Factory. The ideal candidate will have expertise in designing and implementing data pipelines, collaborating with DW/BI leads, and driving technical discussions with client architects and team members.
Responsibilities:
- Data Warehouse Development
- Collaborate with our DW/BI leads to understand new ETL pipeline development requirements.
- Triage issues to find gaps in existing pipelines and fix the issues.
- Orchestrate data pipelines in a scheduler via Airflow.
Requirements:
- Bachelor's and/or master's degree in computer science or equivalent experience.
- 6+ years of IT experience and 3+ years' experience in data warehouse/ETL projects.
Preferred Skills:
- Snowflake/Azure Data Factory/PySpark.
Key Qualifications:
- Deep understanding of Star and Snowflake dimensional modeling.
- Strong knowledge of data management principles.
- Good understanding of Databricks Data & AI platform and Databricks Delta Lake Architecture.
Ambitious Project Experience:
- Experience working with structured and unstructured data including imaging & geospatial data.
- Experience working in a Dev/Ops environment with tools like Terraform, CircleCI, and GIT.
Skills in Demand:
- Proficiency in RDBMS, complex SQL, PL/SQL, Unix Shell Scripting, performance tuning, troubleshooting, and query optimization.
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