ETL Developer Job Description Template

Today’s extract-transform-load (ETL) developers have to leverage knowledge and expertise from multiple fields. ETL development lies near the intersection of database design and programming but requires a significantly versatile skillset within both fields. Data everywhere is growing rapidly, and all companies growing with it will need specialists to maintain it.

On the database side, candidates might require knowledge of data modeling principles to prepare a final structure for the processed data, knowledge of algorithms for transformations and performance tuning, and familiarity with multiple solutions for keeping data like RDBMSes, NoSQL databases, and other Big Data solutions.

As for programming, ETL developers may need basic shell or Unix scripting skills for managing file/folder structures; they may equally need to know the basic principles of object-oriented programming in various widespread languages like C#, Python, Java, or Go to be able to get and process data from applications and web services.

Although the ETL developer position can vary widely depending on the technology stack used, there are some common skills absolutely required, like advanced SQL knowledge. The data processed by an ETL developer has to comply with a company’s standards and should meet the needs of end users.

ETL Developer - Job Description and Ad Template

Company Introduction

{{ Write a short and catchy paragraph about your company. Make sure to provide information about the company’s culture, perks, and benefits. Mention office hours, remote working possibilities, and everything else that you think makes your company interesting. }}

Job Description

We are currently seeking an ETL developer to design and implement ETL processes. You will build ETL pipelines to ingest the data from heterogeneous sources into our system. You should have excellent business and communication skills, and be able to work with business owners to understand their data requirements and help them make data-related decisions using your ETL knowledge and experience.

The job role might also require you to learn new tools and technologies fast, and you should have in-depth database knowledge as well as basic programming and scripting skills. You will help to build efficient and stable data pipelines which can be easily maintained in the future. You should have expertise in the design, creation, management, and business use of large datasets.

Responsibilities

• Design, implement, and continuously expand data pipelines by performing extraction, transformation, and loading activities
• Gather requirements and business process knowledge in order to transform the data in a way that’s geared towards the needs of end users
• Maintain and improve already existing processes
• Ensure that the data architecture is scalable and maintainable
• Work with the business in designing and delivering correct, high quality data
• Investigate data to identify potential issues within ETL pipelines, notify end-users and propose adequate solutions
• Prepare documentation for further reference
• {{ Add any other relevant responsibilities here. }}

Skills

• SQL knowledge (query performance tuning, index maintenance, etc.) as well as an understanding of database structure
• Knowledge of data modeling principles
• Organizational skills: time management and planning
• Knowledge of at least one ETL tool (SSIS, Informatica, Talend, etc.) {{ For time-limited contracts, specify the exact tool required; in longer-term positions, otherwise strong candidates can be mentored on specifics }}
• Knowledge of various SQL/NoSQL data storage mechanisms and Big Data technologies
• High attention to detail
• Passionate about complex data structures and problem solving
• Ability to pick up new data tools and concepts quickly
• {{ Make sure to mention any other frameworks, libraries, or other technologies relevant to your project. }}
• {{ List any education level or certification you may require. }}