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Data Warehouse
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Kafka 1yr.
Java
JavaScript
PL
Python
Scala
VBScript
HTML
XML
JSON
Apache Airflow
Apache Hive
Business Intelligence (BI) Tools
Data Analysis
ELT
ETL
Apache Hadoop
Apache Hive
Database Administration
Database Analysis
Database Design
Database Modeler
Database Modeling
Data Warehouse
Google BigQuery
Microsoft SQL Server
MongoDB
MySQL
Oracle Database
PostgreSQL
Snowflake
SQL
SQL Tuning
AWS
Azure
GCP (Google Cloud Platform)
AWS big data services
Azure
Google BigQuery
Docker
Electronic Data Interchange (EDI)
Excel
Microsoft Office
Microsoft PowerPoint
Microsoft Word
Kubernetes
Linux
macOS
Unix
Windows
Microsoft Visio
Scrum
Business Requirements
Cloud Computing
CSV
Data Architect
Data Integration
Data Science
Data Transformation
System Analysis
Visual Basic
...

- 20+ years of experience in IT - Experience in Support Analyst, Systems Analysis, Software Development, Data Engineer, Database Engineer, Systems Integration, Integration Developer, Data Analysis, Data Structures, Data Integration, Database Migration, Database Modeler, Database Analyst/Developer, Database Design, Database Management, Data Warehouse, Data Discovery, ELT/ETL, Extract, Transform, Load, Data Pipelines, Data Replication, Business Intelligence, Data Modeling (Dimension and Relational), Performance Tuning (SQL, PL/SQL Applications), experience in working with large databases and datasets, testing, validation, implementation, and troubleshooting skills, performance and resource optimization improvements, maintaining development, test and production environments, experience with process automation (monitoring, alerting, auto-corrective) and distributed systems, strong knowledge in PL/SQL, SQL, Oracle Database and - Knowledge in Agile methodology (Scrum, Kanban). - Upper-Intermediate English - Available ASAP - No vacation plans

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Seniority Senior (5-10 years)
Location Brazil
Scrum
Agile
VBA
Salesforce
VBA
Business Intelligence (BI) Tools
Decision Tree
ML
Data Warehouse
Acceptance Criteria
Communication Skills
Conceptualisation
Cross-functional Team Management
Design Thinking
Facilitation
Feedback Collection
Marketing research
MVP
Prioritisation
Problem Solving
Product Frameworks
Product Metrics
Product Roadmaps
Release Management
Retrospectives
Self Management
Stakeholder Management
User Advocacy
User Experience
Atlassian Confluence
Jira
DeFi
Metaverse
Design Thinking
Research Skills
Kanban
SDLC
User Stories
Salesforce
User Interviews
Wireframes
AI
Business Glossary
Go-Live
Kalido
Metadata Discovery
NFT
Siebel
...

Product manager with experience in NFT project. - Almost 9 years of diverse experience in tech: Product Management, Agile Project Management and Business Analysis. - Upper-intermediate English. - Available ASAP

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Seniority Senior (5-10 years)
Location Melbourne, Australia

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Want to hire Data Warehouse developer? Then you should know!

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How and where is Data Warehouse used?

  • Customer Analytics: Analyzing customer behavior
  • Supply Chain Management: Tracking inventory levels
  • Financial Reporting: Generating financial statements
  • Marketing Campaign Analysis: Evaluating campaign performance
  • Healthcare Analytics: Managing patient data
  • Human Resources Analytics: Monitoring employee performance
  • Retail Sales Analysis: Tracking sales trends
  • Telecommunications Data Analysis: Analyzing network performance
  • Education Data Management: Tracking student progress
  • Manufacturing Operations Analysis: Monitoring production efficiency

Compare Junior, Middle, Senior, and Expert/Team Lead Data Warehouse Developer roles

Seniority NameYears of experienceResponsibilities and activitiesAverage salary (USD/year)
Junior1-3 years
  • Assist in ETL processes
  • Develop basic data models
  • Perform data quality checks
$50,000
Middle3-5 years
  • Design and optimize data pipelines
  • Create advanced data transformations
  • Collaborate with data analysts
$70,000
Senior5-8 years
  • Lead data warehouse projects
  • Define data architecture
  • Mentor junior developers
$90,000
Expert/Team Lead8+ years
  • Set strategic direction for data warehouse
  • Manage cross-functional teams
  • Drive innovation in data solutions
$120,000

Quick Facts about Data Warehouse.

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  • Data Warehouse Software Development was born in 1990.
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  • Projects in Business Intelligence thrive on this software.
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  • Entry to this tech world demands a solid SQL foundation.
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  • SQL databases are the closest pals of Data Warehouse.
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  • Did you know? The largest Data Warehouse holds 300 petabytes!
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TOP Data Warehouse Related Technologies

  1. Snowflake
  2. Amazon Redshift
  3. Google BigQuery
  4. Microsoft Azure Synapse Analytics
  5. IBM Db2 Warehouse

What are top Data Warehouse instruments and tools?

  • Amazon Redshift: AWS’s cloud-based data warehouse (2012)
  • Snowflake: Modern data warehouse built for the cloud (2014)
  • Google BigQuery: Serverless, highly scalable data warehouse (2010)
  • Microsoft Azure Synapse Analytics: Formerly Azure SQL Data Warehouse (2016)
  • IBM Db2 Warehouse: IBM’s data warehouse solution (2017)
  • Teradata: Provider of data warehousing and analytics products (1979)
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Talk to Our Expert

Our journey starts with a 30-min discovery call to explore your project challenges, technical needs and team diversity.
Manager
Maria Lapko
Global Partnership Manager

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FAQs on Data Warehouse Development

What is a Data Warehouse Developer? Arrow

A Data Warehouse Developer is a specialist in the Data Warehouse framework/language, focusing on developing applications or systems that require expertise in this particular technology.

Why should I hire a Data Warehouse Developer through Upstaff.com? Arrow

Hiring through Upstaff.com gives you access to a curated pool of pre-screened Data Warehouse Developers, ensuring you find the right talent quickly and efficiently.

How do I know if a Data Warehouse Developer is right for my project? Arrow

If your project involves developing applications or systems that rely heavily on Data Warehouse, then hiring a Data Warehouse Developer would be essential.

How does the hiring process work on Upstaff.com? Arrow

Post Your Job: Provide details about your project.
Review Candidates: Access profiles of qualified Data Warehouse Developers.
Interview: Evaluate candidates through interviews.
Hire: Choose the best fit for your project.

What is the cost of hiring a Data Warehouse Developer? Arrow

The cost depends on factors like experience and project scope, but Upstaff.com offers competitive rates and flexible pricing options.

Can I hire Data Warehouse Developers on a part-time or project-based basis? Arrow

Yes, Upstaff.com allows you to hire Data Warehouse Developers on both a part-time and project-based basis, depending on your needs.

What are the qualifications of Data Warehouse Developers on Upstaff.com? Arrow

All developers undergo a strict vetting process to ensure they meet our high standards of expertise and professionalism.

How do I manage a Data Warehouse Developer once hired? Arrow

Upstaff.com offers tools and resources to help you manage your developer effectively, including communication platforms and project tracking tools.

What support does Upstaff.com offer during the hiring process? Arrow

Upstaff.com provides ongoing support, including help with onboarding, and expert advice to ensure you make the right hire.

Can I replace a Data Warehouse Developer if they are not meeting expectations? Arrow

Yes, Upstaff.com allows you to replace a developer if they are not meeting your expectations, ensuring you get the right fit for your project.