Mid-Level Data Engineer – AWS, Databricks

Job not on LinkedIn

🔥 4 minutes ago

🇧🇷 Brazil – Remote

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

☁️ Cloud Engineer

👻 Ghost score 13%

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

• Document pipelines through code reverse engineering • Map execution flows and dependencies between processes • Assist in planning data workload migrations • Create automated analyses to accelerate reverse engineering • Build scalable and resilient data analytics solutions in the AWS environment • Implement architectural improvements • Gather requirements from business teams and document them • Apply knowledge of Agile methodologies • Align the corporate IT environment with business needs, industry standards, and market best practices • Embed a data-driven culture into day-to-day operations • Work collaboratively with empathy, listen effectively, communicate clearly, and contribute constructively

🎯 Requirements

• At least 5 years of experience with AWS (S3, EMR, Athena, Lambda, SQS, AWS Glue, RDS, and Redshift) • At least 3 years of experience with Databricks • At least 3 years of experience with PySpark • Understanding of the Spark framework and the capabilities and challenges of distributed architecture • Experience with Oracle databases and PL/SQL • AWS Professional or Specialty certification preferred • Databricks certification preferred

🏖️ Benefits

• Ongoing professional development • 100% remote position • Leega is for everyone, offering an inclusive workplace • Position also open to candidates with disabilities