Role: Senior AWS Data Engineer
Location: McKinney, TX (3 days onsite)
Rate: $58/hr on C2C
Duration: 12+ Months Contract hybrid
F2F interview required
Exp : 12+ years
- We’re hiring a Senior AWS Data Engineer with 8+ years of experience and a Master’s degree in Computer Science or related field.
- At Least 5+ Years in Build and optimize robust data pipelines using SQL, Window Functions, Stored Procedures, and Python, incorporating multithreading for enhanced efficiency.
- Utilize 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!