Data Engineer - Snowflake

Data Engineer Snowflake

Remote

Required:

• Minimum Bachelors degree in computer science information technology or a similarly relevant field.
• Minimum 5 years of data engineering experience preferred.
• Minimum of 3 years of experience with OOP SQL schema designing data modeling designing building and maintaining data processing systems
• Strong experience with advanced analytics tools for ObjectOriented/object function scripting using languages such as Python other big data technologies.
• Strong ability to design build and manage data pipelines for data structures encompassing data transformation data models schemas metadata and workload management.
• Ability to work with both IT and business in integrating analytics and data science output into business processes and workflows.
• Database development experience using SQL SPARK PL/SQL and SnowSQL and experience with a variety of relational NoSQL oriented databases like Hadoop MongoDB.
• Strong experience in data curation/aggregation/preparation using Azure Data lake Azure Data Factory DBT and distilling data into meaningful insights with handson expertise on Azure and Snowflake/Databricks
• Experience with Snowflake warehouse and developing applications on Snowflake SnowSQL Snowpipe & Stored procedures
• Experience with Informatica ETL products or IDMC is a plus
• Extensive experience in triaging data issues analyzing endtoend data pipelines and working with business users in resolving issues.
• Experience in working with data governance/data quality and data security teams and specifically data stewards and security officers in moving data pipelines into production with appropriate data quality governance and security standards and certification.
• Adept in agile methodologies and capable of applying DevOps and increasingly DataOps principles to data pipelines.
• Exposure to containerization using Docker Kubernetes etc.

Interpersonal skills:

• An agile learner who brings strong problemsolving skills and enjoys working as part of a technical cross functional team to solve complex data problems
• Able to prioritize and work on multiple projects and requests at any one time
• Strong attention to detail when identifying data relationships trends and anomalies.
• Thinking through longterm impacts of key design decisions and handling failure scenarios.
• Excellent oral written and communication skills
• Ability to effectively share technical information communicate technical issues and solutions to all levels of business
• Ability to meet strict deadlines work on multiple tasks and work well under pressure