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Kion Group AG

Senior/Principal Backend Data Engineer - Data Platform

Kion Group AG, Grand Rapids, Michigan, us, 49528


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Senior/Principal Backend Data Engineer - Data Platform

Bewerben

locations

Waterloo, Canada

Grand Rapids, MI, United States

posted on

Vor 2 Tagen ausgeschrieben

job requisition id

JR-0056468

At Dematic, we are gearing up to revolutionize our data landscape by building a cutting-edge Enterprise Data Lakehouse Platform. We are forming two pivotal platform teams that will spearhead the creation of the platform's foundational components. These teams go beyond traditional data ingestion; they are architects of a microservices-driven platform, providing abstractions that empower other teams to seamlessly extend the platform.

Role Overview

We are seeking dynamic and highly skilled Senior and Principal level Data Engineers to design and build the core foundation of our Enterprise Data Platform. This role demands engineers who not only possess a profound understanding of the data engineering landscape but have built core foundations in the past. The ideal candidates will contribute significantly to the platform development while actively shaping the future of our data ecosystem.

**Open to providing relocation assistance to Waterloo**

Das bieten wir:

What We Are Looking For:Responsibilities:Architect, design and

develop

core

data platform

components

with

a microservices architecture, abstracting

platform,

and

infrastructure intricacies.

Create and

maintain

essential

data platform

SDKs and libraries, adhering to industry best practices.

Design and develop connector frameworks and modern connectors to source

data from disparate

application

s

both on-prem and cloud.

Design and

o

ptimize

data storage, processing, and querying performance for large-scale datasets

using industry best practices

.

Design and develop data quality frameworks and processes to ensure the accuracy and reliability of data.

Collaborate with data scientists, analysts, and cross functional teams to design data models, database schemas and data storage solutions.

Design and develop

advanced analytics and machine learning capabilities on the data platform.

Design and develop observability

and data governance

frameworks and

practices.

Solid experience deployment and release cycles of data assets, ensuring a robust and scalable platform.

Stay up to date with the latest data engineering trends, technologies, and best practices.

Aufgaben und Qualifikationen:

Requirements:1

0

+

(for senior) 15+ (for principal)

of p

roven experience in

modern

cloud

data engineering

,

data architectures,

data warehousing, and

software engineering

.

Expertise in architecting, designing, and building end to end data platforms in the GCP environment while adhering to best practices guidelines such as open standards, cost, performance, time to market and minimize vendor lock

Solid experience building data platforms in GCP environment.

Solid experience designing and developing modular

, distributed

data platform components with

a

microservices architecture.

Strong e

xperience with Docker, Kubernetes

, APIs is needed.

Proficiency

in data engineering tools and technologies

-

SQL, Python, Spark,

DBT,

Airflow,

Kafka

.

Solid experience

implementing

data lineage, data quality and data observability

for

big

data workflows.

Strong

experience with modern

data modeling, data architecture, and data governance principles.

Excellent experience with

DataOps

principles and test automation.

Excellent experience with observability tools - Grafana and Datadog

Applicants must

be authorized to

work for any employer in the US

without visa requirements

. This position is not eligible for

employment

visa sponsorship.

Nice to have:Experience with

Data Mesh architecture.

Experience building Semantic layers for data platforms.

Experience building scalable IoT architectures

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