Expert Data Solution Architect

1 semana atrás

Belo Horizonte, Minas Gerais, Brasil beBeeDataEngineer Tempo inteiro US$120.000 - US$150.000
Job Description:

As a Senior Data Engineer, you will be responsible for designing and optimizing high-performance, scalable solutions in our data infrastructure.

Key responsibilities include designing, building, and maintaining large-scale data pipelines and data processing systems in AWS, developing and optimizing distributed data workflows using Hadoop, Spark, and related technologies.

  • Develop and implement reliable and efficient data solutions to support business growth and innovation.
  • Collaborate with cross-functional teams to deliver impactful data initiatives across the company.
  • Evaluate and recommend new tools, frameworks, and approaches for data engineering.
Required Skills and Qualifications:

To succeed in this role, you must have:

  • 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:

  • Competitive compensation based on your skills and experience.
  • Accelerated professional growth through mentorship and personalized development plans.
  • A selection of exciting projects with top-tier clients and Fortune 500 enterprises.
  • Flexible work arrangements to maintain an optimal work-life balance.
Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Industries: IT Services and Consulting

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