Offer summary

Qualifications:

1-3 years of experience in data engineering or related field., Proficiency in SQL and Python programming languages., Familiarity with Azure Cloud and data pipeline management., Strong communication skills in English for client interactions..

Key responsibilities:

Assist the Support team with data engineering tasks and problem-solving.

Debug system issues and ensure smooth operation of data pipelines.

Monitor data quality and track errors in Azure Cloud environments.

Maintain system performance and ensure all systems are operational daily.

Too often corporate IT teams and business counterparts are at odds. This is in large part because technologists too often focus on the technology solution itself rather than the underlying business problem. At KIS solutions we believe that technology is a tool to solve business problems. We focus on the business problem and operational processes which our solutions support. When building technology systems, the most challenging part of the development process is often deciding “what to build” not “how to build it”. It is sadly true however that many corporate IT teams spend so much their time focusing on the “how” rather than the “what”. Once you have answered the challenging questions around “what to build”, the rest falls into place. Building the system should be simple! Founder Benjamin Quintana is an IT professional and entrepreneur with nearly 20 years of experience delivering impactful solutions across a broad range of industries. Ben has extensive experience with customer data analytics, data cleansing, customer identification, customer preference management, call center and logistical systems. He also has deep industry expertise in loyalty marketing applications and was directly responsible for the infrastructure of the loyalty program of a leading hotel group.

Job description

This is a remote position.

We are looking for a Junior Data Engineer to join our Support team for an exciting project with one of our major international clients. In this role, you will be responsible for problem solving, debugging, and supporting the smooth operation of our data pipelines. You will primarily work with Azure Cloud to ensure data quality, monitor error logs, and maintain pipelines on a daily basis. Your tasks will also include keeping a close eye on system performance and ensuring everything is running smoothly, making sure our systems are up and running at all times. This is a great opportunity to work on a high-impact project for a global client, and if you are passionate about data engineering and eager to grow your career, we would love to hear from you!

Responsibilities:

Join the Support team to assist with key data engineering tasks

Focus on problem-solving and debugging system issues

Work with Azure Cloud to support data pipeline maintenance and monitoring

Ensure data quality through regular monitoring and error tracking

Address and resolve any system discrepancies to maintain smooth operations

Ensure all systems are running properly on a daily basis

Requirements

Experience with SQL and Python.
Experience with Azure Cloud.
Knowledge about data pipelines, including data quality process and error handling.
Good English communication to talk with the client.
Ability to work as a team.
High adaptability and problem-solving.
Open mind to receive feedback.