FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
C
Senior Data Engineer
Cruzeiro do Sul Educacional S/A. Develop and maintain efficient, scalable data systems on Google Cloud Platform .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing and maintaining scalable data systems on Google Cloud Platform, with a strong focus on data ingestion, transformation, and governance. Proficient in advanced SQL, data pipeline delivery, and analytical dashboard creation using industry-standard tools.
Highest-signal resume keywords
Google Cloud PlatformAdvanced SQL SkillsDataOps PracticesApache SparkTableau
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data Pipeline DevelopmentDimensional ModelingData TransformationData GovernanceInfrastructure as Code
Soft Skills
Team ManagementCommunicationProblem Solving
Tools & Technologies
TableauPower BIGoogle Data StudioTerraformApache AirflowApache BeamHadoopHive
Certifications & Qualifications
Professional Certifications in Data Engineering
Industry Keywords
Big DataAdvanced AnalyticsAgile MethodologyData Lake
Tech Stack
Tools & technologiesAirflowApacheCloudGoogle Cloud PlatformHadoopSparkSQLTableauTerraform
About the role
Key responsibilities & impact- Develop and maintain efficient, scalable data systems on Google Cloud Platform
- Develop and maintain architecture in the Google Cloud environment for data ingestion and transformation
- Understand the challenges and needs of requesting business areas
- Map the required data, its sources, and its movement across Data Lake layers
- Define the required transformations and create dimensional models for data relationships
- Develop, test, and ensure the proper delivery of data pipelines
- Document business requirements, technical specifications, and tests
- Follow data governance guidelines, including data quality and privacy
- Apply DataOps practices and work within an agile methodology
- Manage the team of third-party data engineers and, in the future, internal data engineers
Requirements
What you’ll need- Education: Bachelor’s degree completed
- Advanced SQL skills for data exploration, processing, and preparation
- Experience with or knowledge of building analytical dashboards using Tableau, Power BI, or Google Data Studio
- Knowledge of infrastructure as code, such as Terraform
- Professional certifications in data or data engineering
- Experience in Big Data and Advanced Analytics environments, using Apache tools such as Spark, Airflow, Beam, Hadoop, and Hive
- Availability to work from 9:00 a.m. to 7:00 p.m., Monday through Friday