Snowflake Data Engineer

• Design, develop, and optimize scalable ETL (Extract, Transform, Load) pipelines using Snowflake and complementary tools such as Informatica and Talend.
• Collaborate with cross-functional teams to understand data requirements and translate them into efficient data models and schemas within Snowflake.
• Implement and manage data integration workflows across various cloud platforms including AWS, Azure Data Lake, and Public Cloud environments.
• Develop robust SQL queries, Python scripts, and shell scripts to automate data processing tasks and improve system performance.
• Maintain and enhance data warehousing architecture by applying dimensional modeling principles for efficient query management and business intelligence reporting.
• Ensure data quality, security, and compliance by implementing best practices in data management and governance.
• Support the development of analytics solutions using business intelligence tools like Looker and other visualization platforms to deliver actionable insights.

• Proven experience as a Data Engineer with a focus on Snowflake or similar cloud-based data warehousing solutions.
• Strong proficiency in SQL, Python, Java, Bash (Unix shell), and Shell Scripting for automation and pipeline development.
• Extensive knowledge of Big Data systems including Hadoop, Spark, Apache Hive, and related technologies.
• Hands-on experience with cloud platforms such as AWS, Azure Data Lake, or equivalent Public Cloud services.
• Familiarity with ETL tools like Informatica or Talend for seamless data integration workflows.
• Solid understanding of Data Modeling concepts including Dimensional Modeling for Data Warehousing design.
• Experience working with SQL databases like Oracle and Microsoft SQL Server; knowledge of Data Management Integration best practices is a plus.
• Ability to work in Agile environments with excellent analysis skills for troubleshooting and optimizing data processes.
• Strong communication skills to collaborate effectively across teams and translate technical details into business insights.

Join us to leverage your expertise in Big Data systems and cloud technologies while making a tangible impact through innovative data engineering solutions!