Match Score
Against your primary resumeLogin to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Protocol Intelligence
Data-driven signals on your job's competitivenessLog in to see why each signal reads the way it does.
Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and maintain scalable ETL and data pipelines using AWS Glue, Apache Spark, Amazon Redshift, and related AWS services to support data-driven decision making.
Build and optimize data warehousing and data lake solutions for analytical and operational requirements, including creating data models and ensuring data quality.
Collaborate with global cross-functional teams to develop data products, automate processes, manage deployments using GitHub and CI/CD, and contribute to continuous improvement initiatives.
Minimum Requirements
7 to 10+ years of experience in Data Warehousing and Data Engineering.
Strong hands-on expertise with AWS Glue, Python, Apache Spark, Amazon Redshift, Amazon Athena, and Apache Iceberg.
Experience with GitHub, CI/CD practices, API integrations, and JSON processing.
Work Experience Required: 7 to 10+ years in relevant data engineering roles.
Ideal Candidate Profile
Experienced in designing and supporting enterprise-scale ETL pipelines within AWS-native data engineering environments.
Comfortable working with global and multicultural teams, managing stakeholders across multiple markets.
Familiarity or interest in telecom business processes and data domains is a plus but not mandatory.