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Data Engineering Specialist

🕒 September 24

🇧🇷 Brazil – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

🗣️🇧🇷🇵🇹 Portuguese Required

Where this job comes from

Posted on Grupo CVLB's careers page, not through a job board

First seen by Remote Rocketship September 24

Still open on Grupo CVLB's site. Checked 3 hours ago.

Logo of Grupo CVLB

Grupo CVLB

5001 - 10000 employees

Founded 2023

Nascemos da união de duas empresas que são referência no varejo brasileiro: a CASA&VIDEO e a Le biscuit.

📋 Description

• 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 Power BI consumption • Implement and operate CDC replication for transactional databases (Datastream and similar tools) • Process large volumes with PySpark (Dataproc) and Apache Beam (Dataflow) as needed • Optimize BigQuery performance and costs through partitioning, clustering, query rewriting, and data FinOps • Define technical standards, review code, and serve as a subject-matter reference for the data team • Translate business needs from Commercial, Supply Chain, Finance, and Marketing into data solutions

🎯 Requirements

• 5+ years of solid experience as a Data Engineer, with demonstrated senior-level experience • Advanced SQL 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 with public cloud platforms in a production data environment • Experience with cloud data warehouses—preferably BigQuery; Snowflake, Redshift, or Synapse also considered • Experience with data modeling and layered architectures (Medallion / dimensional) required • 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 branching, pull requests, and code review practices

🏖️ Benefits

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

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