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.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Proficient in developing and optimizing data pipelines and ETL/ELT processes using Python, SQL, and PySpark, with hands-on experience in Databricks and Snowflake. Strong analytical and solution-oriented mindset with the ability to collaborate effectively with technical and business teams.
Highest-signal resume keywords
Data EngineeringPython ProficiencySQL ProficiencyExperience with PySparkHands-on with Databricks
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 DevelopmentETL/ELT ProcessesData TransformationData IntegrationREST API DevelopmentData Quality SupportData GovernanceData ReliabilityKPI DevelopmentAnalytics Solutions
Soft Skills
Analytical MindsetOrganizational SkillsSolution-OrientedInterpersonal Skills
Tools & Technologies
DatabricksApache SparkSnowflakeSAPAriba
Tech Stack
Tools & technologiesApacheETLPySparkPythonSparkSQL
About the role
Key responsibilities & impact- Develop, maintain, and optimize data pipelines and ETL/ELT processes
- Perform data ingestion, transformation, and integration from multiple sources
- Work with Python, SQL, and PySpark, as well as Databricks and Apache Spark
- Develop and consume REST APIs for system integration
- Work with data from enterprise systems, including SAP/Ariba
- Support Data Quality, governance, traceability, and data reliability initiatives
- Develop automations and solutions to improve efficiency
- Support the development and enhancement of data repositories, KPIs, and analytics solutions
- Collaborate with Architecture, Engineering, Analytics, and business teams
- Build and enhance data solutions for Level Group's BPO projects
Requirements
What you’ll need- Solid experience in Data Engineering
- Proficiency in Python and SQL
- Experience with PySpark / Apache Spark
- Hands-on experience with Databricks
- Experience with Snowflake – an important requirement for the position
- Knowledge of ETL/ELT, data integration, and data transformation
- Experience with REST APIs
- Experience with data from SAP/Ariba is desirable
- Analytical, organized, and solution-oriented mindset
- Strong ability to interact with technical and business teams
- Ability to work in Piracicaba, São Paulo, a few days per week
Benefits
Comp & perks- Meal allowance: BRL 31.00 per day
- Health insurance
- Dental insurance
- Life insurance
- TotalPass
- Transportation allowance