Senior Data Solutions Specialist

Há 8 horas

Brasília, Distrito Federal, Brasil beBeeDataEngineer Tempo inteiro US$100.000 - US$140.000

We are seeking an experienced Senior Data Engineer to join our team. This is a key role in driving impactful data initiatives across the organization.

Job Description

We are looking for a skilled professional to take ownership of our data infrastructure, designing and optimizing high-performance, scalable solutions.

This involves working with AWS and big data frameworks like Hadoop and Spark to deliver reliable and efficient data solutions.

  • Design, build, and maintain large-scale data pipelines and data processing systems in AWS.
  • Develop and optimize distributed data workflows using Hadoop, Spark, and related technologies.
  • Collaborate with data scientists, analysts, and product teams to deliver data-driven insights.
  • Implement best practices for data governance, security, and compliance.
  • Monitor, troubleshoot, and improve the performance of data systems and pipelines.

In this role, you will have the opportunity to work on a wide range of projects and contribute to building a culture of technical excellence.

Required Skills and Qualifications

To be successful in this role, you will need:

  • Bachelor's or Master's degree in Computer Science, Engineering, or related field;
  • 5+ years of experience in data engineering, software engineering, or related roles;
  • Strong hands-on expertise with AWS services (S3, EMR, Glue, Lambda, Redshift, etc.);
  • Deep knowledge of big data ecosystems, including Hadoop (HDFS, Hive, MapReduce) and Apache Spark (PySpark, Spark SQL, streaming);
  • Strong SQL skills and experience with relational and NoSQL databases;
  • Proficiency in Python, Java, or Scala for data processing and automation;
  • Experience with workflow orchestration tools (Airflow, Step Functions, etc.).
Benefits

We offer a competitive compensation package, opportunities for professional growth, and a collaborative work environment.

  • Professional growth: Accelerate your career with mentorship, training, and personalized development plans.
  • Flexible working arrangements: Enjoy a balance between work and personal life with flexible hours and remote work options.
  • Opportunities for advancement: Join a company that values employee growth and offers opportunities for career progression.

Please note that the following requirements must be met:

  • Ability to work in a fast-paced environment.
  • Excellent problem-solving skills.
  • Upper-Intermediate English level.
Seniority Level and Employment Type

This is a mid-senior level position, requiring 5+ years of experience in data engineering or related fields.

The employment type is full-time, with opportunities for flexible working arrangements.

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