Big Data Engineer Leader

hace 3 semanas


Bogotá, Bogotá D.E., Colombia Amazon A tiempo completo

About Us

At Amazon, we're always looking for talented professionals to help our customers leverage their data to develop business insights. Our team of data experts collaborates with customers and partners on key engagements, delivering high-impact projects that utilize the latest data analytics technologies.

Job Summary

We are seeking a highly skilled Data Architect to join our team. As a Data Architect at Amazon, you will work closely with customers and partners to define and implement data architectures that meet their business needs. Your expertise in distributed computing environments, data lakes, and big data platforms will be essential in delivering successful projects.

Responsibilities

  • Delivery: Help customers define and implement data architectures (Data Lake, Lake House, Data Mesh) through short on-site projects that prove the use of AWS Data services to support new distributed computing solutions.
  • Solutions: Deliver on-site technical assessments with partners and customers, including participating in pre-sales visits, understanding customer requirements, and creating packaged Data & Analytics service offerings.
  • Innovate: Engage with customers' business and technology stakeholders to create a compelling vision of a data-driven enterprise in their environment, and create new artifacts that promote code reuse.
  • Expertise: Collaborate with AWS field sales, pre-sales, training, and support teams to help partners and customers learn and use AWS services such as Athena, Glue, Lambda, S3, DynamoDB, Amazon EMR, and Amazon Redshift.
  • Travel: This is a customer-facing role, requiring up to 50% travel to client locations to deliver professional services when needed.

Requirements

To be successful in this role, you will need:

  • Experience implementing AWS services in a variety of distributed computing environments.
  • 3+ years of experience in Data Lake/Hadoop platform implementation.
  • 2+ years of hands-on experience in implementation and performance tuning Hadoop/Spark implementations.
  • Experience with Apache Hadoop and the Hadoop ecosystem.
  • Experience with one or more relevant tools (Sqoop, Flume, Kafka, Oozie, Hue, Zookeeper, HCatalog, Solr, Avro).

Compensation

The estimated salary range for this position is $120,000 - $180,000 per year, depending on location and experience.


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