Senior Data Engineer

YSSY

. Conduct an inventory and analysis of existing objects in the environment .

Posted 9/15/2026full-timeBarueri • BrazilSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data engineering, including migration strategies, data quality assurance, and performance optimization. Proficient in building and deploying data solutions using Snowflake and Databricks, with a focus on self-service reporting and unstructured data handling.

Highest-signal resume keywords

Snowflake SQLDatabricks Spark SQLDataMart Dimensional ModelingPython Data PipelinesCloud Cost Optimization

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQL ServerIncremental Load ImplementationMaterialized Views MigrationData Transformation RoutinesDAG Orchestration

Soft Skills

Strong CommunicationOrganizational SkillsAnalytical SkillsCollaborative Work StyleProactive Attitude

Tools & Technologies

GitPower BISharePointMicrosoft 365Snowpipe

Industry Keywords

Data QualityUnstructured DataKPI LayersLegacy Environment MigrationData Lineage

Tech Stack

Tools & technologies

PythonSparkSQL

About the role

Key responsibilities & impact

Conduct an inventory and analysis of existing objects in the environment
Migrate views to materialized objects, defining and documenting full or incremental refresh strategies
Implement incremental loads and optimize refresh models
Build transformation and ingestion routines using Snowflake or Databricks capabilities
Orchestrate load routines through DAGs, ensuring predecessor control and dependency monitoring
Build strategic DataMarts and KPI layers, with documentation and traceable lineage back to the source
Optimize platform performance and compute costs
Implement solutions for unstructured data, in accordance with the defined architecture
Build and deploy a standardized self-service reporting portal
Perform reconciliation tests between source and target environments, ensuring data quality and consistency

Requirements

What you’ll need

Bachelor’s degree completed or in progress in Information Technology, Computer Science, Data Engineering, Information Systems, or a related field
Senior-level experience with Snowflake (SQL, Tasks, Streams, Stored Procedures, and Snowpipe) or Databricks (Spark SQL, Delta Lake, Delta Live Tables, Workflows, and Auto Loader)
Experience with dimensional modeling applied to DataMarts and KPI layers
Experience with SQL Server, particularly in legacy environment migration scenarios
Knowledge of and hands-on experience with Git in daily workflows, including object versioning, promotion, and rollback
Experience with Python applied to data pipelines and automation
Knowledge of cloud cost optimization, including credits, DBUs, or equivalent resources
Autonomy to lead workstreams end to end, from analysis through validated delivery
Strong communication, organizational, and analytical skills, with the ability to work collaboratively
Hands-on, proactive, collaborative, and results-oriented profile
Preferred: experience with both Snowflake and Databricks platforms
Preferred: experience working with unstructured data, such as audio, images, and documents, in analytical environments
Preferred: experience with SharePoint and the Microsoft 365 ecosystem applied to report publishing
Preferred: experience with Power BI, especially datasets and modeling
Preferred: participation in legacy environment decommissioning and migration projects

Benefits

Comp & perks

BIZ flexible benefits card
Alice health insurance
Amil dental insurance (optional)
Life insurance
Transportation allowance
Wellhub (formerly Gympass)
Childcare assistance for mothers and fathers
Apoio Pass employee assistance program