Job Duties and Responsibilities:

• Collaborate with System Architects to design, develop, test, and implement efficient Snowflake data models aligned with enterprise data warehousing standards.
• Build and manage cloud and hybrid integrations using third-party ETL tools like Azure Data Factory for seamless Snowflake data pipelines.
• Maintain CI/CD pipelines in GitHub and Azure DevOps to ensure code quality, version control, and automated deployment for Snowflake solutions.
• Conduct SQL performance analysis, query optimization, and database tuning to improve efficiency and scalability in Snowflake models.
• Develop robust, scalable Snowflake integrations and data models following industry best practices.
• Perform root cause analysis on data model issues and resolve performance bottlenecks to maintain reliable Snowflake systems.
• Engage with customers and architects to refine requirements and communicate effectively for business alignment.
• Apply strong time management to prioritize concurrent tasks and deliver Snowflake projects promptly.
• Use analytical and problem-solving skills to address complex warehouse challenges within the Snowflake ecosystem.

Work experience / Technologies required for the position:

• At least 5+ years of experience in building and optimizing Big Data, Data pipelines, architectures and data sets.
• Experience in performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Strong analytic skills related to working with unstructured datasets.
• Build processes supporting data transformation, data structures, meta data, dependency and workload management.
• A successful history of manipulating, processing and extracting value from large disconnected data sets.
• Working knowledge of message queuing, stream processing, and highly scalable Big Data, data stores.
• Experience in supporting and working with cross-functional teams in a dynamic environment.
• Experience with big data tools: Hadoop, Spark, Kafka, etc.
• Experience with relational SQL and NoSQL databases, including AzureSQL and Snowflake.
• Experience with Azure cloud services: ADLS, AzureSynapse, Azure Databricks, Delta Lake
• Experience with stream-processing systems: Storm, Spark-Streaming, etc.
• Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.