Data Engineer & BI Developer - ETL, Dashboards, GCP
TechDigital Group
Santa Clara (CA)
On-site
USD 80,000 - 120,000
Full time
14 days+
Get more replies from employers
Send a job-specific resume in minutes.
Start fresh or import an existing resume
Job summary
An established industry player is seeking a skilled Data Engineer to develop and support robust data pipelines and dashboards. In this role, you will leverage your expertise in SQL and Python to create efficient ETL processes and enhance data visualization using tools like Google Data Studio and Tableau. The ideal candidate will have a strong analytical mindset, a collaborative spirit, and a passion for data-driven decision-making. Join a dynamic team where your contributions will directly impact business growth and innovation in the data landscape. If you thrive in a fast-paced environment and are eager to tackle complex data challenges, this opportunity is for you.
Qualifications
4+ years of experience with SQL, dashboard development, and data analysis.
Familiarity with machine learning and advanced analytics methods.
Responsibilities
Develop ETL/data pipelines for data warehouse from various systems.
Design and optimize full-stack data solutions for visualization.
Skills
SQL scripting
data analysis
dashboard development
statistical methods
collaboration skills
troubleshooting skills
analytical skills
Education
BS degree in Computer Science
equivalent academic credentials
Tools
Google Cloud Platform
BigQuery
Google Data Studio
Tableau
Google Plx
Job description
An established industry player is seeking a skilled Data Engineer to develop and support robust data pipelines and dashboards. In this role, you will leverage your expertise in SQL and Python to create efficient ETL processes and enhance data visualization using tools like Google Data Studio and Tableau. The ideal candidate will have a strong analytical mindset, a collaborative spirit, and a passion for data-driven decision-making. Join a dynamic team where your contributions will directly impact business growth and innovation in the data landscape. If you thrive in a fast-paced environment and are eager to tackle complex data challenges, this opportunity is for you.