À propos
Hybrid Duration - 6+ months Interview - Video
Job Description - Required Skills - Top 3-5 Key Words
Required Technical Skills:
Python, SQL, AWS Web services (Glu, S3, Lambda)
Core Programming Skills:
Expert proficiency in Python, with experience in building data pipelines and back-end systems. dvanced knowledge of SQL for querying and optimizing large datasets. WS Cloud Services Expertise: DynamoDB, S3, Athena, GlueETL, Lambda, ECS, Glue Data Quality, EventBridge, Redshift Machine Learning, OpenSearch, and RDS. PI and Resilience Engineering:
Proven expertise in designing fault-tolerant APIs using Swagger/OpenAPI, GraphQL, nd RESTful standards. Robust understanding of distributed systems, load balancing, and failover strategies. Monitoring and Orchestration: Hands-on experience with Prometheus and Grafana for observability and monitoring. Job Duties
Senior Data Engineer - 7+ Years of Experience We are seeking a highly experienced Senior Data Engineer with 7+ years of expertise in designing, building, and optimizing robust data solutions. The ideal candidate must possess top-tier skills in Python, AWS services, API development, and TypeScript, and have significant hands-on experience with anomaly detection systems. The candidate should have a proven ability to work at both strategic and tactical levels, from designing data architectures to implementing them in the weeds.
Job Requirements
Key Responsibilities:
Data Pipeline Development Independently design, build, and maintain complex ETL pipelines, ensuring scalability nd efficiency for large-scale data processing needs. Manage pipeline complexity and orchestration, delivering high-performance dat products accessible via APIs for business-critical applications. rchive processed data products into data lakes (e.g., AWS S3) for analytics and machine learning use cases. nomaly Detection and Data Quality Implement advanced anomaly detection systems and data validation techniques, ensuring data integrity and quality. Leverage AI/ML methodologies, including Large Language Models (LLMs), to detect and address data inconsistencies. Develop and automate robust data quality and validation frameworks. Cloud and API Engineering rchitect and manage resilient APIs using modern patterns, including microservices, RESTful design, and GraphQL. Configure API gateways, circuit breakers, and fault-tolerant mechanisms for distributed
Compétences linguistiques
- English
Avis aux utilisateurs
Cette offre provient d’une plateforme partenaire de TieTalent. Cliquez sur « Postuler maintenant » pour soumettre votre candidature directement sur leur site.