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Data Solution Architect

KYYBA, Inc
East Hanover, United States
11 days ago
Apply on www.dice.com
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience required
1 year minimum
Working hours
Regular working hours
Job source
www.dice.com

Tech stack

Business Analytics Applications Microsoft Azure Cloud Computing Continuous Integration Information Engineering Extract Transform Load (ETL) Data Transformation Data Vault Modeling Database Design DevOps Python (Programming Language) Power BI
+12 more
DataOps Cloudera SQL Databases Tableau (Software) Google Cloud Apache Spark Pyspark Star Schema Data Pipelines Alteryx Databricks Programming Languages

Requirements

  • 1+ years Data Engineering/Modeling

  • 3+ years Database Design

  • Cloud computing technologies (Azure, Google Cloud Platform)
  • Programming Languages: SQL, Python, PySpark (Apache Spark), DAX, etc.
  • Analytics platforms: Databricks, Google Cloud Dataproc, etc.
  • Experience with CI/CD, DevOps, and DataOps techniques.
  • Experience with ETL, Data pipelines and architecture
  • Technical Documentation
  • Experience in data modelling and wrangling techniques and tools i.e., Star Schema, Snowflake Schema, Data vault, Alteryx, Power BI, Tableau, etc.
  • Data quality and profiling methods

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.dice.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

Explore playlists

2:00 min

Separating dataset creation from low-level software implementation steps

Jan Zawadzki · World Congress 2022

4:32 min

Harnessing Spark with Python using PySpark and Py4J

Ayon Roy · LIVE

2:17 min

Mapping the maturity roadmap for scaled devops adoption

Dominik Krichbaum Dominik Krichbaum · World Congress 2026 Europe

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

3:37 min

Scaling machine learning pipelines from prototypes to petabytes

Julian Joseph · LIVE

3:38 min

Architecting a unified data and machine learning workbench

Kapil Gupta Kapil Gupta · World Congress 2025

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LIVE • almost 6 years ago

PySpark - Combining Machine Learning & Big Data

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From Messy Queries to Scalable Systems - How Data Engineering actually works thumbnail
31:15
World Congress 2026 Europe • about 2 months ago

From Messy Queries to Scalable Systems - How Data Engineering actually works

Sandhya Menon

From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform thumbnail
22:57
World Congress 2026 Europe • about 2 months ago

From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform

Dominik Krichbaum

Data Science in Retail thumbnail
58:21
LIVE • over 3 years ago

Data Science in Retail

Julian Joseph

Empowering Retail Through Applied Machine Learning thumbnail
22:41
World Congress 2024 • about 2 years ago

Empowering Retail Through Applied Machine Learning

Christoph Fassbach, Daniel Rohr

Modern Data Architectures need Software Engineering thumbnail
29:25
World Congress 2024 • about 2 years ago

Modern Data Architectures need Software Engineering

Matthias Niehoff

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