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Senior data infrastructure specialist

Jandira
beBee Careers
Anunciada dia 14 junho
Descrição

An Exciting Opportunity for Data Engineers

Are you a highly skilled Data Engineer looking to take your career to the next level? Do you have experience with designing and building large-scale data systems?

We are seeking a talented Data Engineer to join our team in a collaborative environment. The successful candidate will be responsible for designing, building, and maintaining data systems, including data pipelines, data warehouses, and data lakes.

This is a fully remote opportunity with the potential to become a permanent position. You will work closely with data architects, data scientists, and other stakeholders to ensure that the entire data systems meet the needs of our business.

The ideal candidate will have 5+ years of experience in data engineering or a related field, as well as strong experience with programming languages such as Python, Java, and Scala. Additionally, they will have experience with data modeling and data architecture, as well as data engineering tools such as Apache Beam, Apache Spark, AWS Glue, Amazon Redshift, Google BigQuery, and Snowflake.

The successful candidate will also have strong collaboration and communication skills, as well as a Bachelor's degree in Computer Science, Engineering, or a related field.

Responsibilities:

* Design, build, and maintain large-scale data systems.
* Design and implement data warehouses using tools such as Amazon Redshift, Google BigQuery, and Snowflake.
* Develop and maintain data pipelines using tools such as Apache Beam, Apache Spark, and AWS Glue.
* Develop and maintain data lakes using tools such as Apache Hadoop, Apache Spark, and Amazon S3.
* Work with data architects to design and implement data models and data architectures.
* Collaborate with data scientists to develop and deploy machine learning models and data products.
* Ensure data quality and integrity by developing and implementing data validation and data cleansing processes.

Qualifications:

* 5+ years of experience in data engineering or a related field.
* 2-4 years of experience in Ruby products, including Ruby on Rails framework.
* 5+ years of experience with programming languages such as Python, Java, and Scala.
* 3+ years of experience with data modeling and data architecture.
* 3+ years of experience with data engineering tools such as Apache Beam, Apache Spark, AWS Glue, Amazon Redshift, Google BigQuery, and Snowflake.

Nice to Have:

* Experience with machine learning and data science.
* Experience with cloud-based data platforms such as AWS, GCP, or Azure.
* Experience with containerization using Docker and Kubernetes.
* Experience with agile development methodologies such as Scrum or Kanban.

We thank all candidates in advance. Only selected candidates for interviews will be contacted.

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