Engineer, Data & Analytics
Core
Designing, building, and overseeing technology architecture and software to capture, manage, store, and utilize structured and unstructured data from internal and external sources to generate insights and address reporting needs.
Role type
Data & Analytics Engineer
Builds
Data structures, pipelines, ingestion frameworks, and information systems (data warehouses, data lakes) for business intelligence and downstream applications.
Domain
Telecommunications / Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Data engineering, data operations, data analytics, data modeling, data quality assurance, data lineage tracking, system architecture design, cloud platform management, on-prem platform management, data migration, privacy compliance
Preferred skills
Artificial intelligence, machine learning, big-data techniques
Technologies
Kubernetes, Teradata, Databricks, minIO, AWS S3, AWS Redshift
Responsibilities
Develop data structures and pipelines aligned to established standards to organize, collect, standardize, and transform data. Ensure data quality during ingest, processing, and final load. Create standard ingestion frameworks for structured and unstructured data. Develop and maintain information systems including data access APIs. Participate in solution implementation via data architecture, engineering, or manipulation on on-prem and cloud platforms. Handle data migrations and conversions as platforms evolve. Identify and resolve technical issues using knowledge of policies and processes. Apply data sensitivity and customer privacy rules consistently in Information Lifecycle Management activities.
Seniority
Mid-level, independent contributor
