Data Engineer

Job not on LinkedIn

🕒 March 20

🇧🇷 Brazil – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 56%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.Why this score:

• Open for 239 days.
• Jobs at this company usually fill in 21 days.
• Reposted once.
• No salary listed.

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99x

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2004

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

99x is a global technology company that offers advanced digital solutions, including product engineering, web development, and tech expertise. With a team of 600 developers spread across five countries, 99x empowers businesses to thrive in the digital age by providing access to top-tier local and nearshore engineering talent. The company has a 20-year history of working with multinationals and software product companies, focusing on innovation and automation. 99x is known for its strong emphasis on attracting the top 1% of tech talent and its development centers around the world, including in Malaysia. The company delivers scalable and user-centric solutions using low-code platforms and integrates technologies like Artificial Intelligence and Machine Learning to streamline business processes.

📋 Description

• Design, develop, and optimize complex ETL pipelines integrating large datasets from various sources. • Build and maintain high-performance data models using Google BigQuery, Snowflake, and dbt. • Develop Python scripts for data ingestion, transformation, and automation. • Implement and manage data workflows using Apache Airflow for scheduling and orchestration. • Collaborate with data scientists, analysts, and stakeholders to ensure data availability, reliability, and performance. • Troubleshoot and optimize data systems, proactively identifying and resolving issues. • Use AWS cloud platforms for scalable data pipeline storage and processing. • Ensure data integrity, consistency, and security across systems. • Own end-to-end data engineering tasks while mentoring junior team members. • Continuously improve processes and technologies for efficient data processing and delivery. • Contribute to developing and supporting complex data architectures.

🎯 Requirements

• Bachelor’s degree in computer science, Information Technology, or related field. • 4+ years of hands-on experience in Data Engineering or related fields, with a strong background in building and optimizing data pipelines • Strong proficiency in Google Big Query, including designing and optimizing queries or other equivalent Datawarehouse (Snowflake). • Knowledge of dbt for data transformation and model management. • Proficiency in Python for data engineering tasks, including scripting, data manipulation, and automation. • Solid experience with Apache Airflow for workflow orchestration and task automation. • Extensive experience in building and maintaining ETL pipelines. • Familiarity with cloud platforms, particularly AWS (Amazon Web Services), including tools like S3, Lambda, Redshift, or Glue. • Excellent problem-solving and troubleshooting abilities. • Strong communication and collaboration skills with the ability to work effectively in a team environment. • Self-motivated, detail-oriented, and able to work with minimal supervision. • Ability to manage multiple priorities and deadlines in a fast-paced environment. • Experience with other cloud platforms (e.g., AWS, Azure) is a plus. • Knowledge of data warehousing best practices and architecture.

🏖️ Benefits

• Your pick when it comes to employment models: CLT/PJ/Cooperativa; • We provide resources for you to grow and learn on the job, including online courses, mentoring, and the latest gen laptops; • A fully remote work environment with flexible working hours; • Bonus for any referrals that we end up hiring;

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