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Chief Data Infrastructure Specialist
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Job Overview
As a Senior Data Engineer, you will play a key role in designing and developing modern data warehouse solutions. You will work with Snowflake and Azure Data Factory (ADF) to build scalable and efficient data pipelines.
Key Responsibilities
- Developing robust and scalable data pipelines using Snowflake and ADF.
- Collaborating with DW/BI leads to understand new ETL pipeline development requirements.
- Troubleshooting issues in existing pipelines and implementing fixes.
- Working with cross-functional teams to design and implement data models that meet reporting needs.
- Driving technical discussions with client architects and team members.
- Orchestrating data pipelines in scheduler via Apache Airflow.
Requirements
- Bachelor's or master's degree in computer science or equivalent experience.
- Minimum 6 years of IT experience and 3+ years of experience in data warehousing/ETL projects.
Technical Skills
- Expertise in Snowflake security, Snowflake SQL, and designing/implementing other Snowflake objects.
- Hands-on experience with Snowflake utilities, SnowSQL, Snowpipe, and Snowsight.
- 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.
- Experience with Open Source non-relational / NoSQL data repositories (incl. MongoDB, Cassandra, Neo4J).
- Experience working with structured and unstructured data including imaging & geospatial data.
- Experience working in Dev/Ops environment with tools such as Terraform, CircleCI, GIT.
- Proficiency in RDBMS, complex SQL, PL/SQL, Unix Shell Scripting, performance tuning, troubleshooting, and query optimization.
Preferred Technical Skills
- Snowflake/Azure Data Factory/ PySpark.
