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Senior AWS Data Engineer with Databricks
Indeed
Full-time
Onsite
No experience limit
No degree limit
79Q22222+22
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Job Summary: We are seeking an innovative, results-oriented professional to document pipelines, map workflows, assist in data migration efforts, and build scalable solutions in AWS and Databricks environments. Key Highlights: 1. Dynamic company that invests in continuous employee training 2. Inspiring culture and values present in daily operations 3. Ability to work collaboratively with empathy and strong communication Leega is a company focused on delivering efficient and innovative service to its clients. This commitment extends naturally to our most vital resource: people! Our culture is inspiring, and our values guide us daily: ethics and transparency, quality excellence, teamwork, economic, social and environmental responsibility, human relationships, and credibility. We seek innovative professionals who thrive on challenges and focus on results. If you’re looking for a dynamic, collaborative company that invests in its employees through continuous training, Leega is the place for you! **\>\> LEEGA IS FOR EVERYONE****, we would be delighted to welcome you to our team. Join us in shaping our story and building our future.** Apply now to our open positions! **Responsibilities and Duties** * Document pipelines via reverse engineering of code; * Map execution flows and dependencies among processes; * Assist in planning data load migrations; * Develop automated analyses to accelerate reverse engineering; * Build scalable and resilient data analytics solutions in the AWS environment; * Implement architectural improvements; * Gather business area requirements and document them; * Understand Agile methodologies; * Align corporate IT infrastructure with business needs, industry standards, and best practices; * Embrace and integrate a data-driven culture into daily activities; * Collaborate effectively within teams with empathy, active listening, being heard, and strong communication skills; **Requirements and Qualifications** * **Experience in AWS and Databricks Data Engineering;** * Minimum **5 years** of experience with AWS (**S3, EMR, Athena, Lambda, SQS, AWS Glue, RDS, Redshift, DynamoDB**); * Minimum **3 years** of experience with **Databricks**; * Experience developing with **Python, PySpark, and Pandas**; * Understanding of **Spark** architecture and the features and challenges of distributed systems; * Knowledge of Oracle databases and PL/SQL. **Desirable:** * **AWS** Certification: Professional or Specialty * **Databricks** Certification **Additional Information** * **Fully Remote Position** At Leega, we don’t just deliver lines of code or dashboards. We transform complex technological challenges into tangible impact. With over 15 years of experience, we combine deep human expertise with the speed of Artificial Intelligence to create solutions that transform businesses—and, above all, improve people’s lives. We are a technology consultancy—agnostic and strategic—with offices in Brazil and Europe. Our team of over 580 multidisciplinary talents lives and breathes the Data Analytics, Cloud, and AI ecosystem. We master the full foundation—from Governance to Engineering—to ensure technology is not merely a tool, but a sustainable competitive advantage for the world’s leading enterprises.

Source:  indeed View original post
João Silva
Indeed · HR

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