Senior Data Engineer (DBT)
Summary
Build and maintain data pipelines using dbt, Snowflake, Airflow, and Python to transform raw data into clean, analytics-ready datasets for BI and reporting.
This is a remote position.
8+ years of hands-on experience in software development, with a bachelor’s degree in a relevant field of study
● Experience creating DAGs, building Airflow custom operators and hooks.
● Strong knowledge of cloud technologies and distributed computing, specifically with Azure or Google Cloud Platform (GCP) or AWS
● Solid background and hands-on experience in Business Intelligence (BI), Data Warehousing, and ETL projects
● In-depth experience with Python and SQL, foundational technologies essential for data processing and manipulation
● Experience using version control, CI/CD, and automation tools
● Experience with data quality and data cleansing
Strong verbal and written communication abilities, capable of conveying technical concepts to both technical teams and non-technical stakeholders. Ability to summarise complex analyses into actionable business insights
● A proactive, curious mindset with a creative approach to problem-solving and a willingness to participate in an on-call escalation rotation as needed
● Excellent collaboration skills with a focus on building strong, effective relationships across teams ● Strong on DBT with Snowflake SQL. ● Snowflake SQL Writing SQL queries against Snowflake Developing scripts, Python, etc. to do Extract, Load, and Transform data. ● Hands-on experience with Snowflake utilities such as Snow SQL, Snow Pipe, Python, Tasks, Streams, Time travel, Optimizer, Metadata Manager, data sharing, and stored procedures. ● Complex problem-solving capability. ● Hands-on experience with Apache Airflow for orchestrating complex data workflows. ● Must be analytic, creative and self-motivated. ● ETL tool DBT, Advanced SQL along with good Python scripting skill Data Modelling and source to target mapping skills. ● Excellent SQL coding skills.