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Job Description
Structured overview of role & requirementsAbout This Role
Build and maintain scalable, reliable data pipelines and platforms using Databricks and AWS technologies.
Ensure data accuracy and governance by running data quality checks, validation, and transformation processes.
Support pipeline health monitoring, CI/CD improvements, infrastructure as code, and collaborate with senior engineers to develop dependable data products.
Minimum Requirements
Hands-on experience with building and maintaining scalable data pipelines, preferably alongside senior engineers.
Proficiency with Databricks, PySpark, Spark SQL, Delta Lake or similar lakehouse technologies.
Experience with AWS data and serverless services such as Lambda, Glue, S3, Kinesis, SNS/SQS.
Degree in computer science or related field, or equivalent knowledge and experience.
Ideal Candidate Profile
Practitioner with strong foundational skills in modern data stacks and a desire to deepen expertise on Databricks and AWS platforms.
Experience in data modelling, data quality fundamentals, and writing well-tested software for data integration and quality assurance.
Comfortable working in a hybrid remote/office environment and collaborating with senior engineers to translate business needs into data solutions.