Sr Data Engineer (DBT)

Job Summary

This is a remote position.

Requirements

• 8+ years of hands-on experience in software development, with a bachelors 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.
• 10+ years

Job Type

Full time

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