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 a Google Cloud architecture for data ingestion and transformation .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing and maintaining Google Cloud architecture for data ingestion and transformation, while applying DataOps practices and ensuring data governance. Proficient in advanced SQL, data pipeline development, and analytical dashboard creation using tools like Tableau and Power BI.
Highest-signal resume keywords
Google Cloud Architecture DevelopmentAdvanced SQL SkillsData Pipeline DevelopmentAnalytical Dashboard CreationData Governance Compliance
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 TransformationDimensional ModelingData IngestionData Quality AssuranceData MappingData Lake ManagementInfrastructure as CodeBig Data TechnologiesApache SparkApache Airflow
Soft Skills
TeamworkProblem-SolvingDocumentation
Tools & Technologies
TableauPower BIGoogle Data StudioTerraformApache BeamHadoopHive
Certifications & Qualifications
Data Engineering Certifications
Industry Keywords
DataOpsAgile MethodologyData GovernanceAdvanced Analytics
Tech Stack
Tools & technologiesAirflowApacheCloudHadoopSparkSQLTableauTerraform
About the role
Key responsibilities & impact- Develop and maintain a Google Cloud architecture for data ingestion and transformation
- Understand the problems and/or needs of requesting business areas
- Map the required data and its respective sources
- Map data movement across the Data Lake layers and the necessary transformations
- Create dimensional models for data relationships
- Develop data pipelines
- Test developed pipelines and ensure accurate data delivery
- Document the entire process, from business and technical requirements through testing
- Follow data governance guidelines, including data quality and privacy
- Apply DataOps practices
- Work within an agile methodology, focusing on teamwork
- Manage the third-party data engineering team and, in the future, internal team members
Requirements
What you’ll need- Education: Bachelor’s degree completed
- Advanced SQL skills for data exploration, processing, and preparation
- Experience building analytical dashboards using Tableau, Power BI, or Google Data Studio
- Knowledge of infrastructure as code, such as Terraform
- Professional certifications in data-related fields, particularly data engineering, are a plus
- Experience with Big Data and Advanced Analytics environments, using Apache tools such as Spark, Airflow, Beam, Hadoop, and Hive, is a plus