Professional experience with Java Spring Boot in data engineering projects., Proficient in SQL and experienced with Azure, Databricks, and Datalake., Familiarity with Kubernetes and GIT for version control., Strong English communication skills and ability to work collaboratively in a team..
Key responsibilities:
Design, develop, and maintain data ingestion pipelines using ETL processes.
Implement data models and database schemas for optimized data storage.
Collaborate with cross-functional teams to gather data requirements and provide solutions.
Monitor and optimize data pipelines for performance and scalability.
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KIS Solutions
51 - 200
Employees
About KIS Solutions
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.
We are looking for Data Engineers (Junior, Mid or Senior)!
At KIS, we are always looking for talented individuals to join our team for future opportunities. If you are a Data Engineer and interested in working on innovative projects with one of our global clients, sign up for our Talent Pool!
MainResponsibilities:
Design, develop, andmaintain data ingestion pipelines using ETL processes.
Implement data models and database schemas to ensure efficient and optimized storage of data.
Write SQL queries toextract, transform, andload data fromvarioussources.
Collaboratewithcross-functionalteamstogather data requirementsandprovide data-drivensolutions.
Perform data analysisandvalidationtoensure data qualityandintegrity.
Developandmaintain data integration workflows andautomate data processes.
Monitor andoptimize data pipelines for performance andscalability.
Implement data governanceandsecuritypracticestoensure data privacyand compliance.
Requirements
Professional experience with Java Spring Boot in data engineering projects
Professional experience with SQL
Experience with Azure, Databricks and Datalake
Experience with Kubernetes
Experience with GIT
Professional experience operating data pipelines, including data quality process and error handling
Advanced English
Abilitytowork as a team
High adaptabilityandproblem-solving
Required profile
Experience
Level of experience:Junior (1-2 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.