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What does a data warehouse developer do?

Updated January 8, 2025
8 min read
Quoted expert
Pavel Chernyavskiy Ph.D.
What does a data warehouse developer do

Data Warehouse Developers are information technology (IT) professionals assigned to manage company-related information or data. They are responsible for creating the company's data warehouse, where the company's data will be stored. Data warehouse developers are also expected to provide the maintenance needs related to the program.

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Data warehouse developer responsibilities

Here are examples of responsibilities from real data warehouse developer resumes:

  • Help in set up the SharePoint server, deploy reports and create, manage subscriptions and data driven subscriptions.
  • Achieve significant performance improvement in reducing response time of queries by rewriting and tuning SQL statements embed in PhP code.
  • Develop MapReduce jobs in Java API to parse the raw data and store the refined data.
  • Shell scripting, Linux administration, and Perl language support.
  • Develop, modify and execute Perl and MySQL scripts from Linux command line.
  • Liaise with QA in deploying ETL flows and reports into their environments and attend defect calls.
  • Develop and deploy HiveUDF's written in Java for encrypting customer-id's, creating item-image-URL's etc.
  • Used various transformations including XML parser transformations to parse the web log files and load them into oracle.
  • Develop MR jobs for bulk insertion of Walmart's customer and item data from files to HBASE, Cassandra.
  • Ingest all formats of structure and semi-structure data including relational databases, JSON using NIFI & Kafka into HDFS.
  • Base on an IBM DB2 data warehouse, the solution will enable business users to self-service their information requirements.
  • Develop unit/assembly test cases and UNIX shell scripts to run along with daily/weekly/monthly batches to reduce or eliminate manual testing effort
  • Analyze old reports design in crystal reports and transform those reports into SSRS report with proper mapping and error handing.
  • Develop jobs to move inbound files to HDFS file location base on monthly, weekly, daily and hourly partitioning.
  • Restore data to its checkpoint once a data failure has occur and restart SSIS packages to begin at the point before failure

Data warehouse developer skills and personality traits

We calculated that 8% of Data Warehouse Developers are proficient in ETL, Java, and Hadoop. They’re also known for soft skills such as Detail oriented, Problem-solving skills, and Interpersonal skills.

We break down the percentage of Data Warehouse Developers that have these skills listed on their resume here:

  • ETL, 8%

    Prepared ETL design specification documents with information on implementation of business logic and specifications of the job flow.

  • Java, 7%

    Set up Active Directory integration, Oracle connectivity, customized Java integration and configured the instance.

  • Hadoop, 6%

    Designed and developed data integration programs in a Hadoop environment with NoSQL data store Cassandra for data access and analysis.

  • Data Warehouse, 6%

    Implemented Surrogate key by using Key Management functionality for newly inserted rows in Data warehouse which made data availability more convenient.

  • Visualization, 5%

    Performed visualizations according to business requirements on custom visualization tool built in Angular JS.

  • Data Analysis, 5%

    Worked with business user, Business analyst and trading assistant on requirement gathering of the reports requirements, underlying data analysis.

Most data warehouse developers use their skills in "etl," "java," and "hadoop" to do their jobs. You can find more detail on essential data warehouse developer responsibilities here:

Detail oriented. To carry out their duties, the most important skill for a data warehouse developer to have is detail oriented. Their role and responsibilities require that "developers often work on many parts of an application or system at the same time and must therefore be able to concentrate and pay attention to detail." Data warehouse developers often use detail oriented in their day-to-day job, as shown by this real resume: "modeled and developed sophisticated etl audit system that tracked detailed data flow information. "

Problem-solving skills. Another soft skill that's essential for fulfilling data warehouse developer duties is problem-solving skills. The role rewards competence in this skill because "because developers are in charge of software from beginning to end, they must be able to solve problems that arise throughout the design process." According to a data warehouse developer resume, here's how data warehouse developers can utilize problem-solving skills in their job responsibilities: "design system integration architecture design data flow analysis provide a technical solutions to new business requirements. "

Interpersonal skills. Another skill that relates to the job responsibilities of data warehouse developers is interpersonal skills. This skill is critical to many everyday data warehouse developer duties, as "software developers must be able to work well with others who contribute to designing, developing, and programming successful software." This example from a resume shows how this skill is used: "have strong analytical and communication skills and excellent interpersonal skills with the ability to work independently and with the team. "

Analytical skills. data warehouse developer responsibilities often require "analytical skills." The duties that rely on this skill are shown by the fact that "developers must analyze users’ needs and then design software to meet those needs." This resume example shows what data warehouse developers do with analytical skills on a typical day: "performed data validation using information analyzer to identify data quality issue and for metadata visualization. "

Communication skills. Another crucial skill for a data warehouse developer to carry out their responsibilities is "communication skills." A big part of what data warehouse developers relies on this skill, since "developers must be able to give clear instructions to others working on a project." How this skill relates to data warehouse developer duties can be seen in an example from a data warehouse developer resume snippet: "involved in communications with client and business analysts for gathering requirements. "

Creativity. Lastly, "creativity" is an important element of what a data warehouse developer does. Data warehouse developer responsibilities require this skill because "developers are the creative minds behind new computer software." This resume example highlights how data warehouse developer duties rely on this skill: "created ssrs reports for general ledger, sales, inventory and audit reports. "

All data warehouse developer skills

The three companies that hire the most data warehouse developers are:

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Compare different data warehouse developers

Data warehouse developer vs. Senior/lead developer

A lead developer typically works for a software company. They are responsible for designing, developing, and debugging code. They lead a software team and communicate all team activities to their management. They must have creative expertise, great communication skills, and an aptitude for teamwork.

The annual salary of senior/lead developers is $33,827 higher than the average salary of data warehouse developers.Even though data warehouse developers and senior/lead developers are distinct careers, a few of the skills required for both jobs are similar. For example, both careers require etl, java, and data warehouse in the day-to-day roles and responsibilities.

These skill sets are where the common ground ends though. The responsibilities of a data warehouse developer are more likely to require skills like "hadoop," "visualization," "data analysis," and "power bi." On the other hand, a job as a senior/lead developer requires skills like "c++," "javascript," "web application," and "architecture." As you can see, what employees do in each career varies considerably.

Senior/lead developers really shine in the finance industry with an average salary of $136,565. Comparatively, data warehouse developers tend to make the most money in the insurance industry with an average salary of $107,723.On average, senior/lead developers reach similar levels of education than data warehouse developers. Senior/lead developers are 0.7% less likely to earn a Master's Degree and 0.2% less likely to graduate with a Doctoral Degree.

Data warehouse developer vs. Senior etl developer

An ETL (extract transform load) developer is an IT specialist who designs and fills advanced data storage systems intended for the clientele. ETL developers are responsible for loading business data into a data warehouse. Their role is significant in the establishment and growth of large data warehouses. It is their responsibility to implement the ETL processes. Their skillset includes expertise in data analysis, a background in software engineering, experience with database architecture, and knowledge in using ETL tools.

Senior etl developer positions earn higher pay than data warehouse developer roles. They earn a $10,900 higher salary than data warehouse developers per year.Only some things about these jobs are the same. Take their skills, for example. Data warehouse developers and senior etl developers both require similar skills like "java," "data warehouse," and "data analysis" to carry out their responsibilities.

Each career also uses different skills, according to real data warehouse developer resumes. While data warehouse developer responsibilities can utilize skills like "etl," "hadoop," "visualization," and "power bi," senior etl developers use skills like "sql server," "informatica workflow," "control-m," and "informatica mappings."

Senior etl developers earn a higher average salary than data warehouse developers. But senior etl developers earn the highest pay in the hospitality industry, with an average salary of $115,824. Additionally, data warehouse developers earn the highest salaries in the insurance with average pay of $107,723 annually.In general, senior etl developers achieve similar levels of education than data warehouse developers. They're 1.5% less likely to obtain a Master's Degree while being 0.2% less likely to earn a Doctoral Degree.

What technology do you think will become more important and prevalent for data warehouse developers in the next 3-5 years?

Pavel Chernyavskiy Ph.D.

Assistant Professor of Statistics, University of Wyoming

It is always dangerous to make predictions with technology since things rush. My thought is that access to High-Performance Computing - a centralized high-powered computing cluster - will become more streamlined. This should encourage users to run their complex computing tasks remotely and use their machines for rapid testing and development.

Data warehouse developer vs. Pl/sql developer

A PL/SQL developer is responsible for managing and designing the network interface of PL/SQL packages according to business requirements and core specifications. PL/SQL developers must have excellent knowledge of technical solutions to create efficient databases and applications with optimal infrastructure and excellent navigation. They conduct multiple quality assessments to ensure the stability of systems before releasing the final outputs, including the development of instructional manuals and troubleshooting guides. A PL/SQL developer also enhance the features of existing packages and resolve possible downtimes and delays.

On average, pl/sql developers earn lower salaries than data warehouse developers, with a $4,217 difference per year.data warehouse developers and pl/sql developers both have job responsibilities that require similar skill sets. These similarities include skills such as "etl," "java," and "data warehouse," but they differ when it comes to other required skills.

The required skills of the two careers differ considerably. For example, data warehouse developers are more likely to have skills like "hadoop," "visualization," "bi," and "ssis." But a pl/sql developer is more likely to have skills like "sql navigator," "pl/sql packages," "sql scripts," and "sql server."

Pl/sql developers make a very good living in the finance industry with an average annual salary of $98,883. On the other hand, data warehouse developers are paid the highest salary in the insurance industry, with average annual pay of $107,723.When it comes to education, pl/sql developers tend to earn similar degree levels compared to data warehouse developers. In fact, they're 3.5% less likely to earn a Master's Degree, and 0.8% less likely to graduate with a Doctoral Degree.

Data warehouse developer vs. Qlikview developer

Qlikview developers typically earn lower pay than data warehouse developers. On average, qlikview developers earn a $3,233 lower salary per year.According to resumes from data warehouse developers and qlikview developers, some of the skills necessary to complete the responsibilities of each role are similar. These skills include "java," "visualization," and "bi. "Each job also requires different skills to carry out their responsibilities. A data warehouse developer uses "etl," "hadoop," "data warehouse," and "data analysis." Qlikview developers are more likely to have duties that require skills in "qlikview dashboards," "sql server," "qvd," and "qlikview applications. "In general, qlikview developers earn the most working in the finance industry, with an average salary of $103,794. The highest-paying industry for a data warehouse developer is the insurance industry.qlikview developers reach lower levels of education compared to data warehouse developers, in general. The difference is that they're 5.4% more likely to earn a Master's Degree, and 1.1% less likely to graduate with a Doctoral Degree.

Types of data warehouse developer

Updated January 8, 2025

Zippia Research Team
Zippia Team

Editorial Staff

The Zippia Research Team has spent countless hours reviewing resumes, job postings, and government data to determine what goes into getting a job in each phase of life. Professional writers and data scientists comprise the Zippia Research Team.

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