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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and maintaining data engineering solutions, including data ingestion, transformation, and processing pipelines. Proficient in SQL, Python, and various data architecture concepts, with a strong focus on data quality and reliability.
Highest-signal resume keywords
SQLData Pipeline DevelopmentETL/ELT ProcessesPython ProgrammingAWS or Microsoft Azure
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 IngestionData TransformationData ProcessingData ModelingData ArchitectureVersion Control with GitDatabricksSparkAirflowCI/CD
Soft Skills
CollaborationDocumentation
Tools & Technologies
AWS GlueAzure Data FactorySnowflakeRedshiftSynapse AnalyticsMicrosoft Fabric
Industry Keywords
Data LakesData WarehousesLakehousesData QualityData Reliability
Tech Stack
Tools & technologiesAirflowAmazon RedshiftAWSAzureETLPySparkPythonSparkSQL
About the role
Key responsibilities & impact- Build, maintain, and enhance data engineering solutions
- Develop and maintain data ingestion, transformation, and processing pipelines
- Integrate data from different systems, applications, and sources
- Build and enhance ETL and ELT processes
- Support the development of Data Lakes, Data Warehouses, and other data architectures
- Ensure data quality, availability, and reliability
- Develop solutions using languages and tools appropriate for data processing
- Monitor pipelines and investigate and resolve failures
- Collaborate with Analytics, Data Science, Architecture, and business teams
- Document data architecture workflows, integrations, and components
Requirements
What you’ll need- Hands-on experience with SQL
- Experience developing data pipelines
- Knowledge of ETL or ELT processes
- Knowledge of programming applied to data, preferably Python
- Experience with relational databases and/or data storage solutions
- Knowledge of data modeling and architecture concepts
- Experience with version control using Git or an equivalent tool
- Experience with AWS or Microsoft Azure
- Knowledge of Databricks, Spark, or PySpark
- Experience with Data Lakes, Data Warehouses, or Lakehouses
- Knowledge of Azure Data Factory, AWS Glue, or similar tools
- Experience with Airflow or other orchestration tools
- Knowledge of Snowflake, Redshift, Synapse Analytics, or Microsoft Fabric
- Knowledge of CI/CD applied to pipelines and data solutions
Benefits
Comp & perks- Health insurance
- Dental insurance
- Meal allowance
- Transportation allowance
- Culture allowance
- Education allowance
- Life insurance
- Mental health and well-being program
- Childcare assistance
- Partner discounts
- Remote work model
- Employment under Brazil’s CLT labor regime