Senior AWS Data Engineer
eBusiness Technologies Corp.
- McKinney, Texas, United States
- McKinney, Texas, United States
Über
At least 5+ Years in building and optimising robust data pipelines using SQL, Window Functions, Stored Procedures, and Python, incorporating multithreading for enhanced efficiency.
Utilise 3+ years of experience with AWS tools, including Glue ETL Jobs, Lambda, S3, and Redshift, to manage large-scale data workflows.
Extensive experience with AWS services, particularly Redshift (cluster management, cost optimization) and Lambda (serverless workflows).
Must excel in ETL development, building scalable pipelines for structured/semi-structured data from diverse sources like APIs and databases.
Expert in writing and optimizing complex SQL queries, including window functions, for high-volume data processing.
Proficient in Python (boto3, pandas, UDFs) and PySpark for dynamic data frames and pipeline orchestration.
Strong expertise in CDK for infrastructure-as-code to deploy secure, scalable systems.
Experience in performance tuning and automating failure notifications (CloudWatch, SNS) is required.
Seeking self-driven professionals to architect production-ready data pipelines. Join us to drive innovation in cloud-native data engineering!
#J-18808-Ljbffr
Sprachkenntnisse
- English
Hinweis für Nutzer
Dieses Stellenangebot stammt von einer Partnerplattform von TieTalent. Klick auf „Jetzt Bewerben”, um deine Bewerbung direkt auf deren Website einzureichen.