Data Engineering Specialist

🔥 15 hours ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Grupo CVLB

WebsiteLinkedInAll Job Openings

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 ingestion and transformation pipelines (ELT/ETL), in batch and near real time, using data from SAP, Oracle, PostgreSQL, APIs, and files. • Orchestrate workloads in Cloud Composer (Airflow), ensuring SLA compliance, idempotency, reprocessing, and monitoring. • Model the data warehouse in BigQuery using a layered architecture (Medallion—bronze / silver / gold), with Dataform, delivering reliable, high-performance models for consumption in Power BI. • Implement and operate CDC replication of transactional databases (Datastream and similar technologies). • Process large volumes of data with PySpark (Dataproc) and Apache Beam (Dataflow) when required by the use case. • Optimize BigQuery performance and costs through partitioning, clustering, query rewrites, and data FinOps practices. • 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

• 5+ years of solid experience as a Data Engineer, with demonstrated senior-level expertise. • 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 data environments in production. • Experience with cloud data warehouses—preferably BigQuery; Snowflake, Redshift, or Synapse are also valued. • Experience with data modeling and layered architecture (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, with experience using branching strategies, pull requests, and code reviews.

🏖️ Benefits

• Health 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 • Discounts through partnerships for courses and undergraduate programs