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About the Role
This role focuses on data engineering, ensuring reliable data pipelines and supporting real-time decisioning platforms. You will collaborate with various teams to deliver data solutions across multiple use cases in an Agile environment.
Responsibilities
- Ingest and transform data from multiple source domains into the platform, adhering to design principles and data governance standards.
- Build and maintain batch and streaming transform pipelines and workflow orchestration.
- Document data dictionaries and design cloud object storage for data offload scenarios.
- Collaborate with DevOps, Data Architects, and operations teams to ensure end-to-end pipeline reliability and observability.
- Ensure real-time decisioning platforms consume data engineering outputs accurately.
- Work with decisioning and analytics teams to ensure timely data availability for personalization and customer engagement.
- Participate in cross-team planning and technical reviews related to data dependencies for decisioning workflows.
- Deliver across multiple use cases simultaneously in an Agile squad model, managing dependencies.
- Author and maintain technical documentation, including solution design notes, implementation plans, and deployment runbooks.
- Actively participate in sprint ceremonies, backlog refinement, and cross-team dependency management.
- Provide SIT, UAT, and data validation support across environments.
- Validate data integrity pre- and post-release with QA and operations teams.
Requirements
- Familiarity with cloud-native data engineering patterns and object storage-based data offload architectures (e.g. AWS S3, Azure Data Lake).
- Understanding of real-time decisioning platforms such as Pega, and how they integrate with data engineering layers.
- Exposure to MarTech or Transformation data programs in a large enterprise or telco context.
- Experience with workflow orchestration tools such as Apache Airflow or equivalent.
- Understanding of data governance frameworks, data lineage, and data quality processes.
- Knowledge of Agile or SAFe delivery methodology and working in cross-functional squads.
Skills
- Data Engineering
- Data Transformation
- Batch Processing
- Streaming Processing
- Workflow Orchestration
- Cloud Object Storage
- Data Governance
- Data Dictionary
- Real-time Decisioning Platforms
- Agile Methodology
- SAFe
- MarTech
- DevOps Collaboration
- Data Validation
- Technical Documentation