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
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Data pipeline design (ETL/ELT), data modelling, data quality implementation, cloud data architecture, data integration patterns, data governance, pipeline automation, incident management
Preferred skills
Streaming and event-driven ingestion, change-data-capture (CDC), schema management, data lineage tracking, SLO definition
Technologies
AWS, Azure, GCC, on-premises systems, APIs, databases, SaaS platforms
Responsibilities
Design and operate data pipelines for extraction, ingestion, transformation, and loading; build transformation pipelines to clean and structure raw data; implement automated data validation and quality controls; design cloud-native and hybrid data stores and data models; integrate traditional enterprise systems with modern cloud capabilities; ensure data security, access controls, and compliance; monitor pipeline performance, health, and reliability; support exploratory analysis and prototyping for advanced analytics
Seniority
Mid-Senior, hands-on IC
