Data Engineering Specialist

Grupo CVLB

. Own data domains end to end—from source ingestion through the layer the business uses every day to make decisions about purchasing, pricing, inventory, and assortment.

Posted 9/24/2026full-timeRemote • BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and optimizing end-to-end ELT/ETL pipelines, data modeling, and cloud data warehousing, particularly in BigQuery. Proficient in translating business requirements into effective data solutions while ensuring performance and cost efficiency.

Highest-signal resume keywords

End-To-End ELT/ETL Pipeline DevelopmentAdvanced SQL SkillsPython for Data EngineeringCloud Composer (Airflow) ExperienceData Modeling with Medallion Architecture

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLPythonData ModelingBigQueryPostgreSQLOracleApache BeamPySparkData TransformationCDC Replication

Tools & Technologies

Cloud ComposerDataformPower BIDatastreamGit

Industry Keywords

Data EngineeringData WarehouseRelational DatabasesFile FormatsPublic Cloud Platforms

Tech Stack

Tools & technologies

AirflowAmazon RedshiftApacheBigQueryCloudETLMySQLOraclePostgresPySparkPythonSQL

About the role

Key responsibilities & impact

Own data domains end to end—from source ingestion through the layer the business uses every day to make decisions about purchasing, pricing, inventory, and assortment.
Build and evolve end-to-end ELT/ETL ingestion and transformation pipelines, in batch and near real time, using data from SAP, Oracle, PostgreSQL, APIs, and files.
Orchestrate workloads in Cloud Composer (Airflow), ensuring SLAs, idempotency, reprocessing, and monitoring.
Model the data warehouse in BigQuery using a Medallion architecture—bronze / silver / gold—with Dataform, delivering reliable, high-performance models for consumption in Power BI.
Implement and operate CDC replication for transactional databases (Datastream and similar tools).
Process large volumes with PySpark (Dataproc) and Apache Beam (Dataflow) when required by the use case.
Optimize BigQuery performance and costs through partitioning, clustering, query rewriting, and data FinOps.
Define technical standards, review code, and serve as a technical reference for the data team.
Translate business needs from Commercial, Supply Chain, Finance, and Marketing into data solutions.

Requirements

What you’ll need

Bachelor’s degree in Education, Psychology, Business Administration, or a related field;
At least 5 years of solid experience as a Data Engineer, with demonstrated senior-level experience;
Advanced SQL skills required—including window functions, CTEs, query optimization, and execution plan analysis;
Experience with Python applied to data engineering required, including modular, tested, and version-controlled code;
Experience building end-to-end ELT/ETL pipelines, including failure handling, reprocessing, and idempotency;
Experience with Airflow (or Cloud Composer) in a production environment;
Experience working with public cloud platforms in a production data environment;
Experience with cloud data warehouses—preferably BigQuery; experience with Snowflake, Redshift, or Synapse is also considered;
Experience with data modeling and layered architectures (Medallion / dimensional);
Strong knowledge of relational databases: PostgreSQL, Oracle, SQL Server, or MySQL;
Experience working with file formats (Parquet, CSV, JSON, Avro) and consuming REST APIs;
Git experience preferred, including branch management, pull requests, and code reviews.

Benefits

Comp & perks

Medical insurance
Dental insurance
Life insurance
Meal and/or food allowance
Grocery allowance
Transportation allowance
Childcare assistance
Annual bonus based on individual and company performance
TotalPass
Petlove plan
Birthday day off
Discounts at our stores
Career development plan
Partnerships offering discounts on courses and degree programs