
Chief Data Architect
1 day ago
About Us
We're seeking a highly skilled Senior Data Engineer to join our team. In this role, you will be responsible for designing and implementing modern data warehouse solutions using Snowflake and Azure Data Factory.
Key Qualities of a Successful Team Member
- Natural curiosity and creative mind to ask questions, connect the dots, and uncover opportunities that lie hidden with the ultimate goal of realizing the data's full potential.
Responsibilities
- Developing and maintaining complex ETL pipelines using Snowflake and Azure Data Factory.
- Collaborating with DW/BI leads to understand new ETL pipeline development requirements.
- Triage issues to find gaps in existing pipelines and fix the issues.
- Working with business stakeholders to understand reporting needs and develop a data model to fulfill those needs.
- Providing technical guidance and support to junior team members.
- Driving technical discussions with client architects and team members.
- Orchestrating data pipelines in the scheduler via Apache Airflow.
Qualifications
- Bachelor's and/or master's degree in computer science or equivalent experience.
- Minimum 6 years of IT experience and 3+ years' experience in Data Warehouse/ETL projects.
Required Skills and Qualifications
- Expertise in Snowflake security, Snowflake SQL, and designing/implementing other Snowflake objects.
- Hands-on experience with Snowflake utilities, SnowSQL, Snowpipe, Snowsight, and Snowflake connectors.
- 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.
- Proficiency in RDBMS, complex SQL, PL/SQL, Unix Shell Scripting, performance tuning, troubleshooting, and Query Optimization.
Preferred Skills
- Snowflake/Azure Data Factory/PySpark.
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