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Data Warehousing

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Data Warehousing
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Hire Data Warehousing Developers and Engineers

Vadym U., Data Warehousing Developer

$4750/month

- Data Engineer with solid data pipelines, DWH, data lake architecture, development and optimization expertise on cloud platforms including Azure, GCP, and AWS. - Snowflake strong - advanced level - with a proven track record of automating ETL processes with multiple tools managing large-scale data warehousing, and enabling business intelligence through sophisticated analytics solutions. - Strong Python, Spark, Kafka, skills, - Experience creating datastore and DB architectures, ETL routines, data management and performance optimization - MSSQL, MySQL, Postgres. - In multiple projects, Vadym analysed and Improved operational efficiency, reduced data-related infrastructure costs, and delivered seamless data integration and transformation across systems.

Data Warehousing

Data Warehousing

Python

Python

Apache Kafka

Apache Kafka

Apache Spark

Apache Spark

Snowflake

Snowflake

Nikita, Data Warehousing Developer

A seasoned Data Engineer with over 6 years of experience in the field of software and big data engineering. Holds a strong academic background in Computer Science and Software Engineering, certified as a Google Cloud Professional Data Engineer. Demonstrates deep expertise in high-load system design, performance optimizations, and domain-specific solutions for Healthcare, Fintech, and E-commerce. Proficient in Python and SQL, with significant exposure to data engineering tools such as Apache Hadoop, Apache Spark, and Apache Airflow, and cloud technologies from AWS and GCP. Adept at working with various databases and message brokers, excelling in data modeling, BI, and data visualization using tools like Looker, Power BI, and Tableau. Enhanced system efficiencies through SQL and data pipeline optimizations, driving significant improvements in processing speed and system performance. A collaborative engineer with a strong grasp of DevOps practices, committed to best-in-class data governance and security standards.

Data Warehousing

Data Warehousing

Python

Python   6 yr.

SQL

SQL   6 yr.

Apache Airflow

Apache Airflow   5 yr.

JMeter

JMeter   6 yr.

PySpark

PySpark   6 yr.

Dainis, Data Warehousing Developer

- IT project director and startup founder passionate about the banking, fintech, blockchain industries. - Results-driven Product Manager with forward-thinking approach centered on company success and competitive growth. - Record of success in building successful teams and managing different type of project to the market launch. - Experience on working with DeFi, NFT, dApp, Crypto related project and platform launches over highly volatile market within cross-functional teams. - Successfully launched fintech startup and also managed Scrum development team in largest Sweden Bank data warehouse unit. - 7+ years of experience in IT. - Advanced English.

Data Warehousing

Data Warehousing

DeFi

DeFi

NFT

NFT

Marcelo B., Solutions Architect and Data Engineer with Data Warehousing, Azure (Microsoft Azure), Dynamics CRM

Marcelo B., Data Warehousing Developer

- Solutions Architect with excellent knowledge in the Microsoft platform, having worked since the beginning of the career (21 years of experience) with virtually all Microsoft products. - Analysis of RFP and RFI and notices of bidding opportunities for both public (Government) and private, involving Microsoft technologies like Dynamics CRM, Dynamics AX, .NET and SQL Server - Development of projects using Machine Learning, Deep Learning and Data Analysis. - Development of Blockchain projects - Consultant background with Dynamics CRM, Dynamics AX, .NET and SQL related technologies and products on high transaction applications in small and large enterprise scenarios. - Specialties: Participated deployment of CMMI level 2. Excellent experience in development, management, configuration and troubleshooting of IT, involving all Microsoft servers, especially SQL Server, Biztalk Server, Commerce Server and SharePoint Server. Excellent knowledge in Dynamics CRM and Dynamics AX. - Fluent Portuguese - Advanced English - Available ASAP

Data Warehousing

Data Warehousing

Azure (Microsoft Azure)

Azure (Microsoft Azure)

Dynamics CRM

Dynamics CRM

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Upstaff.com was launched in 2019, addressing software service companies, startups and ISVs, increasingly varying and evolving needs for qualified software engineers

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FAQs on Data Warehousing Development

What is a Data Warehousing Developer? Arrow

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

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

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

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

If your project involves developing applications or systems that rely heavily on Data Warehousing, then hiring a Data Warehousing 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 Warehousing Developers.
Interview: Evaluate candidates through interviews.
Hire: Choose the best fit for your project.

What is the cost of hiring a Data Warehousing 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 Warehousing Developers on a part-time or project-based basis? Arrow

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

What are the qualifications of Data Warehousing 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 Warehousing 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 Warehousing 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.

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Table of Contents

How and where is Data Warehousing used?

How and where
  • Customer Relationship Management: Analyzing customer behavior
  • Financial Analysis: Tracking financial performance
  • Supply Chain Management: Optimizing inventory levels
  • Human Resources: Monitoring employee performance
  • Marketing Campaigns: Evaluating campaign effectiveness
  • Sales Forecasting: Predicting sales trends
  • Product Management: Managing product data efficiently
  • Healthcare Analytics: Improving patient care
  • Retail Analytics: Enhancing customer shopping experience
  • Telecommunications Reporting: Analyzing network data

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

Seniority NameYears of experienceResponsibilities and activitiesAverage salary (USD/year)
Junior0-2 years
  • Assist in data modeling
  • Basic ETL development
  • Support data quality checks
$60,000
Middle3-5 years
  • Design and implement ETL processes
  • Create data warehouses
  • Optimize data pipelines
$80,000
Senior6-8 years
  • Lead data warehouse projects
  • Develop complex ETL solutions
  • Ensure data accuracy and consistency
$100,000
Expert/Team Lead9+ years
  • Provide technical leadership
  • Define data strategies
  • Mentor junior developers
$120,000

Quick Facts about Data Warehousing.

Facts about
  • In the year when mullets were cool, Data Warehousing Software was born.
  • Projects like ‘Operation Secret Squirrel’ thrive on this tech wizardry.
  • The entry threshold for mastering this sorcery is lower than a limbo stick.
  • Its best pal in the tech realm is none other than Business Intelligence.
  • Did you know the first-ever data warehouse was used to analyze beer sales? Cheers!

TOP Data Warehousing Related Technologies

Related Technologies
  1. Amazon Redshift
  2. Snowflake
  3. Google BigQuery
  4. Microsoft Azure SQL Data Warehouse
  5. IBM Db2 Warehouse

What are top Data Warehousing instruments and tools?

Instruments and tools
  • Snowflake: A cloud-based data warehousing platform from Snowflake Computing.
  • Amazon Redshift: Data warehousing service provided by Amazon Web Services in 2012.
  • Google BigQuery: Fully-managed cloud data warehouse from Google introduced in 2010.
  • Microsoft Azure Synapse Analytics: Formerly known as Azure SQL Data Warehouse, released by Microsoft.

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