Data Engineer: Data Warehouse

Beschreibung:

Introduction
In this role, you'll work in one of our (COMPANY NAME) Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world.​ Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
A career in (COMPANY NAME) Consulting embraces 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 the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the (COMPANY NAME) portfolio; including (COMPANY NAME) Software and Red Hat.
Curiosity and a constant quest for knowledge serve as the foundation to success in (COMPANY NAME) Consulting. In your role, you'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground breaking impact for a wide network of clients. 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.

A career in (COMPANY NAME) Consulting is rooted by 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 Al journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the (COMPANY NAME) portfolio; including Software and Red Hat.
Curiosity and a constant quest for knowledge serve as the foundation to success in (COMPANY NAME) Consulting. In your role, you'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground breaking impact for a wide network of clients. 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.

Your Role and Responsibilities

* As data resource you will develop, maintain, evaluate, and test big data solutions. You will be involved in data engineering activities like creating pipelines/workflows for Source to Target and implementing solutions that tackle the clients needs.

Your primary responsibilities include:

Strategic Data Model Design and ETL Optimization: Design, build, optimize and support new and existing data models and ETL processes based on our clients business requirements.
Robust Data Infrastructure Management: Build, deploy and manage data infrastructure that can adequately handle the needs of a rapidly growing data driven organization.
Seamless Data Accessibility and Security Coordination: Coordinate data access and security to enable data scientists and analysts to easily access to data whenever they need too.

Required Technical and Professional Expertise
1. Splunk Fundamentals
* In-depth knowledge of Splunk architecture, components, and data models
* Ability to design and implement Splunk solutions for various use cases
2. Data Ingestion and Processing
* Expertise in data ingestion methods, including forwarders, modular inputs, and scripted inputs
* Knowledge of Splunk's data processing capabilities, including indexing, searching, and reporting
3. Data Analysis and Visualization
* Proficiency in creating complex searches, reports, and dashboards using Splunk's SPL (Search Processing Language)
* Ability to leverage Splunk's visualization tools, such as charts, tables, and maps
4. Security and Compliance
* Understanding of Splunk's security features, including access controls, encryption, and auditing

Preferred Technical and Professional Expertise
N/A