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Job Description
Structured overview of role & requirementsAbout This Role
Design, build, and maintain scalable data pipelines using PySpark, Databricks, and AWS (S3, Athena, Glue, Lambda) to enable client onboarding in marketing channels.
Develop and maintain API integrations with marketing platforms (Amazon Marketing Cloud, Amazon Ads API) using OAuth 2.0 and build supporting web applications/microservices with Python and Flask.
Manage cloud infrastructure and containerized deployments (AWS, Docker, CI/CD) and monitor pipeline performance with automated alerting for proactive issue resolution.
Minimum Requirements
Bachelor's degree in Computer Science, Engineering, Data Science, or related technical field.
3-5 years of experience in data engineering, software development, or similar technical role.
Proficiency in Python and Flask for API and web application development.
Experience with PySpark, Databricks, SQL (PostgreSQL, MySQL), AWS services (S3, Athena, Glue, Lambda), Docker, and CI/CD tools like Jenkins.
Ideal Candidate Profile
Experienced in handling client-facing technical roles with ability to translate business requirements into scalable data solutions.
Strong background in cloud-native data engineering with emphasis on AWS ecosystem and distributed data processing.
Capable of managing end-to-end data integration workflows including API development, infrastructure deployment, and monitoring in fast-paced environments.