Location: Cupertino, CA (hybrid-on site 3 days per week)
Job Type: This is a Full-Time W2 position with us here at Formula.Monks where you will be working as a consultant at this top FAANG company. Since you're a full time-employee, you will receive an annual salary, full benefits, PTO, etc. This position is on a high impact team working on a long-term engagement. You are also able to explore employment opportunities at this tech company while working via Formula.Monks!
Description:
You will develop, and test large scale data solutions, to provide efficient analytical and reporting capabilities across the clients global and regional sales and finance teams.
You will help develop highly scalable data pipelines to load data from various source systems leveraging cloud tools to schedule and monitor the workflows.
Build generic and reusable solutions that can scale and utilize various technologies and frameworks to solve our complex business requirements. Extend and build out existing data reporting warehouses and capabilities.
You will be required to understand existing solutions, fine-tune them and support them as needed.
Data quality is our goal and we expect you to meet our high standards on data and software quality.
We are a rapidly growing team with plenty of interesting technical and business challenges to solve.
We seek a self-starter, who is willing to learn fast, adapt well to changing requirements and work with cross functional teams.
Key Qualifications:
5+ years of hands-on database engineering and data warehousing experience.
Proficiency in advanced SQL including query performance tuning
Understanding of materialized views, stored procedures, table design and data mart design
3+ years of experience in OOO programming skill sets Python a strong plus.
Experience developing and working with custom ETL pipelines using SQL or other scripting languages (Python, Bash scripting)
Development experience with SQL based cloud data warehouses like Snowflake, Redshift, BigQuery etc
Experience with version control system Git and virtualization tools specifically Docker a must.
Understanding of continuous integration and delivery (CI/CD) practice.
Experience with cloud computing platforms like AWS, Google Cloud is a plus.
Job workflow management with Airflow is also a plus.
Ability to learn and adapt to new tools and technologies in a fast paced environment.
An analytical and mathematical mind capable of evaluating and solving various complex data related problems.
Ability to take directions as part of a team as well as deliver independent work.