Data Engineer (Data Engineering & Analytics) - A26321
Core
Own the data lifecycle from source systems through ingestion, transformation, modelling, quality, and serving to build trusted datasets for applications, dashboards, reporting, and machine-learning use cases.
Role type
Senior Data Engineer (Data Engineering & Analytics)
Builds
Production-grade data pipelines, cloud-native data stores, data lakes, and reusable data products
Domain
Enterprise data engineering, cloud data platforms, and analytics
Required skills
ETL/ELT pipeline design and development, data modelling and schema design, data quality validation and monitoring, cloud data architecture (AWS/Azure/GCC), streaming and batch processing patterns, data integration across on-prem and cloud, security and governance implementation, automation of pipeline deployment and operations
Preferred skills
Experience with change-data-capture (CDC), event-driven ingestion, data lineage and metadata management, SLO definition for data freshness and reliability, AI/ML data preparation
Technologies
AWS, Azure, GCC, on-premises systems, APIs, databases, SaaS platforms, streaming technologies, cloud-native data stores
Responsibilities
Design, build, and operate production-grade data pipelines for extraction, ingestion, transformation, and loading; Develop data models that provide consistent representations of enterprise and operational information; Implement automated data validation, reconciliation, and quality controls throughout the pipeline lifecycle; Build trusted datasets and reusable data products for applications and analytics; Design data architectures spanning on-premise infrastructure and cloud platforms; Ensure data is collected, transmitted, stored, processed, and accessed according to applicable security requirements; Operate and support production data pipelines and data products
Seniority
Senior, hands-on IC