Overview
Hybrid3 Days a Week
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 12 Month(s)
No Travel Required
Able to Provide Sponsorship
Skills
sql
aws
etl
python
redshift
Glue
Airflow
Lambda
IAM
CDK
Database
Job Details
Senior AWS Data Engineer
McKinney, TX
12+ Months Contract
Hybrid 3 days
F2F Interview
santosh at ebusinesstechcorp dot com
This is a senior-level role primarily focused on building and maintaining Python-based ETL pipelines on AWS, using services like Glue, Lambda, Redshift, EventBridge, IAM, and CDK. Strong experience in writing complex SQL queries and window functions is essential, along with working with dynamic data frames and Python UDFs. You'll also be expected to integrate with REST APIs and manage IAM policies for secure access control. This is a hands-on engineering role for someone with deep expertise in automation, data integration, and AWS-native development.
- Senior AWS Data Engineer (Python) with 7+ years of experience and a Master s degree in Computer Science or related field.
- 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.
- Hands-on experience with AWS services (Lambda, Glue, Redshift, IAM, CDK, EventBridge) is essential.
- Skilled in REST APIs, data ingestion frameworks, and cloud-native patterns for robust data solutions.
- 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!
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