Cloud Data Architect

Há 3 dias

Vitória, Espírito Santo, Brasil beBeeDataEngineer Tempo inteiro R$90.000 - R$130.000
Job Opportunity

A career in data engineering is rooted in long-term relationships and close collaboration with clients across the globe.

You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for companies worldwide.

Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and robust technology platforms.

Curiosity and a constant quest for knowledge serve as the foundation to success in this role.

In your position, you'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in groundbreaking impact.

Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience.

Key Responsibilities

The Data Engineer works advising, developing, and maintaining data engineering solutions in the cloud.

They are responsible for designing, building, and operating batch and real-time data pipelines using services such as AWS Glue, EMR, and Spark.

They also create data layers in RedShift, Aurora, and DynamoDB, as well as perform migrations with AWS DMS.

Mastery of the main components of the AWS Data Platform is essential, including S3, RedShift Spectrum, AWS Glue with Spark and Python, Lambda Functions, Glue Catalog, and Glue Databrew.

Experience in data pipelines for Data Warehouse and Data Lake, using Kinesis, Managed Streaming for Apache Kafka, Apache Airflow, and dbt, as well as Spark/Python or Spark/Scala on AWS, is highly valued.

Key Skills and Qualifications

  • Proven and practical experience with AWS Glue, Spark (conceptual), PySpark, and Python.
  • Knowledge of distributed data architecture.
  • Experience with AWS Quicksight, S3, RedShift, Aurora, DynamoDB, Glue Catalog, Glue Databrew, Lambda Functions.
  • Experience with batch and streaming data pipelines (Kinesis, Kafka).
  • Mastery of SQL and dataframe manipulation.
  • Experience with tools such as Apache Airflow and dbt.
  • Ability to work in an agile, collaborative, and multicultural environment.
  • Analytical, detail-oriented, and problem-solving profile.

Preferred Education

Bachelor's Degree

Benefits

Collaborative and dynamic work environment

Opportunities for professional growth and development

Chance to work with cutting-edge technologies

Join a team of innovators and experts in the field

Additional Information

This is a challenging role that requires strong technical skills and excellent problem-solving abilities.

If you are passionate about data engineering and want to join a team of professionals who share your values, please apply now.

Together, we can achieve great things and make a meaningful impact in the world of data engineering.

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