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Cloud Data Engineer, Sr. Consultant

, NY, United States

Lead a small team of data platform engineers in the design, development, and implementation of data engineering solutions.

Gather requirements from stakeholders and translate them into technical specifications.

Design and implement data pipelines to collect, transform, and load data into data warehouses and data lakes.

Maintain and optimize data systems to ensure high availability and performance.

Work with other engineering teams to integrate data engineering solutions with other systems.

Stay up to date on the latest data engineering technologies and trends.

Assists with the data platform blueprint and design, encompassing the relevant data platform components.

Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models.

High degree of (hands-on) technical guidance & vision with broad subject matter expertise in cloud, data and security technologies, specifically AWS, Azure, GCP, Oracle, and SIEM platforms (Splunk ES and Sentinel)

Experience with Terraform

Extensive experience and expertise across the Splunk platform, its architecture and distributed components including premium apps (ITSI, Enterprise Security, Phantom, etc…)

Experience with data streaming technologies

Experience of agile methodologies and associated toolsets and code repositories

Coding experience using languages such as Python and/or Bash

Experience working with CI/CD, Infrastructure-as-Code, and other automation tools

Strong collaboration and stakeholder engagement skills

Self-motivated and organised person

High level of attention to detail, the ability to think architecturally at ‘big picture’ and able to translate this into practical implementation

Excellent ability to execute where information is ambiguous, utilising professionalism, experience and prior knowledge

Excellent analytical and problem-solving skills

Strong interpersonal skills: role will require engagement with a varied and senior stakeholder base

Requirements

6 - 10 years of experience.

Familiar with industry big data platform stack like Databricks, Spark, Hadoop, Flink, Airflow, MPP Database, etc.

Cloud certified with experience

Required strong technical skills and demonstrated experience in each of the following areas:

Excellent communication (written and oral) and interpersonal skills

Deliver right solution architecture, automation and technology choices starting from experimentation and proof of concept phases of new analytical models

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