Data Engineering Specialist

🔥 1 minute 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.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

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 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

• 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

• 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