
Building Data Solutions
24 hours ago
At Tredence, we're committed to empowering our clients with actionable insights. To achieve this goal, we're seeking a seasoned Senior Data Engineer who can help design and implement cutting-edge data warehouse solutions.
As a key member of our team, you will play a pivotal role in developing forward-thinking data engineering and analytics solutions using Snowflake and Azure Data Factory. Your expertise will be instrumental in driving technical discussions with client architects and team members.
Responsibilities:- Developing innovative data engineering and analytics solutions
- Collaborating with DW/BI leads to understand new ETL pipeline development requirements
- Triage issues to find gaps in existing pipelines and fix the issues
- Work with business stakeholders to understand reporting needs and develop data models to fulfill them
- Orchestrate data pipelines in the scheduler via Airflow
- Bachelor's or master's degree in computer science or equivalent experience
- 6+ years of IT experience and 3+ years of experience in Data Warehouse/ETL projects
- 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
- Hands-on experience in SQL and Spark (PySpark)
- Experience in building ETL/data warehouse transformation processes
- Experience working with structured and unstructured data including imaging and geospatial data
- Experience working in a Dev/Ops environment with tools like Terraform, CircleCI, GIT
- Proficiency in RDBMS, complex SQL, PL/SQL, Unix Shell Scripting, performance tuning, troubleshooting, and Query Optimization
- Snowflake/Azure Data Factory/ PySpark
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