ETL Engineer

As an ETL Engineer at Callsign, you can expect to develop and maintain ETL pipelines that efficiently extract data from multiple production environments. You will also focus on transforming this data for analysis and reporting, improving processes around data management, and collaborating with various stakeholders, including data scientists and business analysts.

To thrive as an ETL Engineer with Callsign, candidates should have strong experience in developing scalable ETL pipelines, using SQL and NoSQL technologies, and handling large data volumes. A background in cloud development, particularly with the AWS ETL stack, is also essential, alongside at least 5 years of experience in collaborative development with Python.

ETL Engineers at Callsign utilize a variety of tools and technologies, including distributed computing frameworks like Spark and Hadoop, as well as cloud services like AWS Glue, Athena, and S3. Experience with microservices, Kubernetes, and streaming frameworks would also be advantageous.

At Callsign, data security, performance, scalability, and cost are prioritized from the ground up. ETL Engineers are responsible for designing solutions that meet these criteria, constantly optimizing data models and flows to ensure the highest efficiency and protection of sensitive information.

Working at Callsign comes with a range of exciting benefits including competitive salary, health insurance, a supportive maternity and paternity leave policy, and generous annual leave. Additionally, you'll receive assistance with visa costs and an allowance for annual airfare back to your home country.

In responding to this question, highlight specific projects you’ve worked on that demonstrate your ability to design and execute efficient ETL processes, mentioning the tools and technologies you used to ensure scalability and performance.

Discuss your practices for data validation and error handling in your ETL processes. Emphasize the importance of testing and debugging to guarantee that the data is accurate and reliable before it’s made available for reporting.

When answering, specify the cloud services you've worked with, particularly AWS tools like Glue, S3, and Athena. Detail your experience in deploying ETL pipelines in a cloud environment, highlighting how this benefits scalability and performance.

Share your strategies for ongoing learning, such as following industry blogs, participating in forums, or taking online courses. Mention specific technologies or methodologies that interest you and how you foresee their impact on ETL engineering.

Illustrate your communication skills by providing an example where you translated complex technical information into simple terms for stakeholders. Focus on your approach to illustrating the impact of data issues and how you proposed solutions.

Identify specific challenges such as handling large data volumes or integration issues. Discuss the strategies and tools you employed to solve these challenges, showcasing your problem-solving skills.

Elaborate on how data governance provides a framework for managing data integrity and security. Discuss the role of an ETL Engineer in enforcing governance policies to ensure compliance and protect sensitive information.

Talk about techniques such as indexing, partitioning, and effective resource allocation. Highlight your experience with performance tuning of SQL queries and using different data processing techniques for optimization.

Discuss your methodology for implementing version control, emphasizing the importance of tracking changes in scripts and configurations. Mention any specific tools you've utilized, like Git, to manage versioning and collaboration effectively.

Reflect on how teamwork is integral to successful ETL projects. Share examples of how you’ve collaborated with data scientists, analysts, and other team members to address data requirements and improve processes.