Senior Data Engineer (DBT)
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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.
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.
● 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.
