Senior Data Engineer, DBT

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🕒 3 days ago

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BBI

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2016

💼 Consulting

🏥 Healthcare

🍽️ Food & Beverage

Consulting • Healthcare • Food & Beverage

BBI is an award-winning global data and AI consultancy that engineers the data foundations powering enterprise analytics and AI. Headquartered in Schaumburg, Illinois, and operating with 600+ data professionals across the United States, Canada, and India, BBI delivers services including data integration, cloud migration, AI activation, platform operations, and data governance to large enterprises. The firm emphasizes senior engineers staying closely involved from day one, fast delivery with AI-driven accelerators, and building trusted, traceable, production-ready data and AI solutions for B2B clients in regulated industries such as financial services.

📋 Description

• Create DAGs and build Airflow custom operators and hooks • Work with cloud technologies and distributed computing using Azure, Google Cloud Platform (GCP), or AWS • Deliver Business Intelligence, Data Warehousing, and ETL projects • Develop Python and SQL solutions for data processing and manipulation • Use version control, CI/CD, and automation tools • Perform data quality and data cleansing activities • Convey technical concepts to technical and non-technical stakeholders • Summarise complex analyses into actionable business insights • Participate in an on-call escalation rotation as needed • Collaborate across teams and build effective relationships • Develop Snowflake SQL queries and Python scripts for Extract, Load, and Transform data • Use Snowflake utilities including Snow SQL, Snow Pipe, Tasks, Streams, Time travel, Optimizer, Metadata Manager, data sharing, and stored procedures • Orchestrate complex data workflows with Apache Airflow • Perform data modelling and source-to-target mapping • Develop ETL solutions using DBT, Advanced SQL, and Python scripting

🎯 Requirements

• 8+ years of hands-on experience in software development • Bachelor’s degree in a relevant field of study • Experience creating DAGs and building Airflow custom operators and hooks • Strong knowledge of Azure, Google Cloud Platform (GCP), or AWS and distributed computing • Hands-on experience in Business Intelligence (BI), Data Warehousing, and ETL projects • In-depth experience with Python and SQL • Experience using version control, CI/CD, and automation tools • Experience with data quality and data cleansing • Strong verbal and written communication abilities • Ability to summarise complex analyses into actionable business insights • Willingness to participate in an on-call escalation rotation as needed • Strong collaboration skills • Strong DBT and Snowflake SQL skills • Hands-on experience with Snowflake utilities including 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 • Analytic, creative, and self-motivated • Advanced SQL and good Python scripting skills • Data modelling and source-to-target mapping skills • Excellent SQL coding skills