ETL Data Engineer

About

Responsibilities

• Design and develop technology solutions that meet the business requirements for Cloud data platform.
• Design and develop scalable data pipelines using modern data stack technologies
• Write ETL processes, design data applications and develop tools and data pipelines for real-time and analytical data processing
• Actively participate in code reviews, test plans and test data reviews. Work with other engineers on the team to elevate technology and consistently apply best practices.
• Perform ad-hoc data queries in response to critical business needs

Desired Skill and Experience

• A minimum of ten (10) years of IT experience in data engineering or data management field
• 8 - 10 years of experience in application development using SQL, PLSQL, Python and shell scripting
• Strong working knowledge and experience in Oracle, SQL Server, Snowflake, or any SQL database
• Recent experience as a Senior Data Engineer in any public cloud, preferably on Azure as well as on a cloud warehouse like Snowflake or Azure Synapse is required
• 5+ years of experience of data warehousing and building data pipelines using various ETL and ELT tools
• Hands-on experience with Snowflake, DBT and Airflow is highly preferred
• Experience in building cloud native solutions, preferably on Azure including the use of DevOps CI / CD tools and containers.
• Familiarity with data modeling tools / techniques is a plus
• Azure or Snowflake training / certification is a plus
• Strong analytical, quantitative, problem solving, communication and organizational skills
• Self-driven, self-directed, passionate analytical and focused on delivering the right results