ETL Data Engineer

Job Description

·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

·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