Data Analytics Leader

hace 1 día


Santiago, Metropolitana, Chile Amazon A tiempo completo

Overview

We are seeking a highly skilled Data Analytics Leader to collaborate with our customers and partners on key engagements. This role involves developing, delivering, and implementing data analytics projects that help our customers leverage their data to develop business insights.

About the Role

This professional services engagement will focus on customer solutions such as Data and Business Intelligence, machine learning, and batch/real-time data processing. The successful candidate will have experience implementing AWS services in distributed computing environments, 3+ years of experience in Data Lake/Hadoop platform implementation, and hands-on experience in implementation and performance tuning Hadoop/Spark implementations.

Responsibilities

  1. Delivery: Help customers define and implement data architectures (Data Lake, Lake House, Data Mesh, etc.). Engagements include short on-site projects proving the use of AWS Data services to support new distributed computing solutions that often span private cloud and public cloud services.
  2. Solutions: Deliver on-site technical assessments with partners and customers. This includes participating in pre-sales visits, understanding customer requirements, creating packaged Data & Analytics service offerings.
  3. Innovate: Engage with customers' business and technology stakeholders to create a compelling vision of a data-driven enterprise in their environment. Create new artifacts that promote code reuse.
  4. 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.
  5. Travel Requirements: Since this is a customer-facing role, you may be required to travel to client locations and deliver professional services when needed, up to 50%.

Basic Qualifications

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

Estimated Salary

$120,000 - $180,000 per year.

Bonus Structure

A competitive bonus structure is in place to reward high-performing team members.



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