Senior Data Engineer, GCP, BigQuery, Dataflow

Job not on LinkedIn

🕒 September 10

🇧🇷 Brazil – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 14%

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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Leega

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2010

💼 Consulting

📣 Marketing

🔌 API

Consulting • Marketing • API

Leega is a leading technology solutions provider in Latin America, specializing in data analytics and cloud solutions. As the first company in the region certified by Google Cloud for Data Analytics, Leega offers a range of services including application development, machine learning, and risk management analytics. The firm partners with major cloud services such as AWS and Microsoft Azure to help businesses enhance their data management and transition effectively to the cloud, ultimately driving digital transformation and innovation.

📋 Description

• Design, build, and maintain scalable, resilient data pipelines in the GCP environment (BigQuery, Dataflow, Cloud Functions, Cloud Pub/Sub) • Recommend and implement data architecture improvements • Develop data models to support complex analytics and automated reporting • Implement efficient ETL/ELT processes, optimizing pipeline performance to ensure data integrity and accuracy • Gather requirements from business areas and squads, documenting them and translating them into viable technical solutions • Ensure data governance, quality, and compliance • Provide technical support for data integration issues, ensuring continuous system availability • Align the IT environment with business needs, industry standards, and market best practices • Participate in Agile rituals, including sprints and ceremonies, ensuring high-quality, on-time delivery • Foster a data-driven culture • Collaborate empathetically as part of a team, listening and communicating effectively • Translate business requirements into scalable, efficient technical solutions

🎯 Requirements

• Senior-level professional with at least 5 years of direct experience in GCP Data Engineering • At least 3 years of experience with Databricks • Extensive experience with the GCP ecosystem (BigQuery, Dataflow, Cloud Functions, Cloud Pub/Sub) • Proficiency in Python, PySpark, and Pandas • Experience with data integration and data exploration projects • Experience developing Big Data projects • Understanding of Spark architecture and distributed processing challenges • Knowledge of Data Warehousing (data loading, key distribution, and tuning) • Data modeling for BI/Data Marts (Star Schema/Snowflake) and NoSQL modeling • Advanced SQL skills, with experience in relational and NoSQL databases • Ability to work in an Agile environment, collaborating with multiple cross-functional teams • Experience with AWS (e.g., AWS Glue) and equivalent ETL/ELT tools • GCP Data Studio / Looker or a similar platform • Experience with data visualization tools such as Tableau and Power BI • Experience with Oracle databases • Shell scripting, Unix, and Linux • Relevant Google Cloud certifications • Experience implementing data governance and compliance practices • Experience working in Finance areas (Finance, Pricing, and/or Controllership)

🏖️ Benefits

• Porto Seguro health insurance, with the option to add a spouse and children • Porto Seguro dental insurance for employees and dependents • Profit Sharing and Results Program (PLR) • Childcare assistance • Alelo meal and food vouchers • Home office allowance • Partnerships with educational institutions, offering discounts and incentives for courses and degree programs • Certification incentives, including Cloud certifications (GCP, Azure, AWS, among others) • Livelo points • TotalPass • Mindself, with incentives for meditation and mindfulness