What Your Responsibilities Will Be
- Avalara is looking for data analytics engineer who can solve and scale real world big data challenges.
- Have end to end analytics experience and a complex data story with data models and reliable and applicable metrics.
- Build and deploy data science models using complex SQL, Python, DBT data modelling and re-useable visualization components (PowerBI/Tableau/Hex/R-shiny etc.)
- Expert level experience in PowerBI, SQL and Snowflake
- Solve needs on a large scale by applying your software engineering and complex data.
- Lead and help develop a roadmap for the area and the team.
- Analyze fault tolerance and high availability issues, performance, and scale challenges, and solve them.
- Lead programs and collaborate with engineers, product managers, and technical program managers across teams.
- Understand the trade-offs between consistency, durability, and costs to build solutions that can meet the demands of growing services.
- Ensure the operational readiness of the services and meet the commitments to our customers regarding availability and performance.
- Manage end-to-end project plans and ensure on-time delivery.
- Communicate the status and big picture to the project team and management.
- Work with business and engineering teams to identify scope, constraints, dependencies, and risks.
- Identify risks and opportunities across the business and guide solutions.
What Youll Need to be Successful
What Youll Need to be Successful
- Bachelors Engineering degree in Computer Science or a related field.
- 8+ years of experience of enterprise-class experience with large-scale cloud solutions in data science/analytics projects and engineering projects.
- Expert level experience in PowerBI, SQL and Snowflake
- Experience with data visualization, Python, Data Modeling and data storytelling.
- Experience architecting complex data marts applying DBT.
- Architect and build data solutions that use data quality and anomaly detection best practices.
- Experience building production analytics using the Snowflake data platform.
- Experience in AWS and Snowflake tools and services
Good to have:
- Certificate in Snowflake is plus
- Relevant certifications in data warehousing or cloud platform.
- Experience architecting complex data marts applying DBT and Airflow.