Senior AWS / Azure Data Engineer
Description
Senior AWS / Azure Data Engineer
Employment Type: Full-Time (W2 Only)
Location: Multiple locations over USA.
Job Summary
We are hiring a Senior AWS & Azure Data Engineer with 10+ years of overall experience, including substantial experience gained with top-tier MNCs in India, to join a high-impact enterprise data engineering team. This is a direct full-time (W2) position only for professionals seeking long-term roles in a stable, product-driven environment.
Key Responsibilities
- Design, develop, and maintain scalable data pipelines on AWS and Azure platforms
- Build and optimize ETL/ELT frameworks for large-scale structured and unstructured data
- Develop batch and real-time data processing solutions using Spark, Databricks, and distributed systems
- Implement data ingestion from multiple sources including APIs, RDBMS, NoSQL, streaming platforms, and cloud storage
- Optimize data models for analytics, reporting, and downstream ML workloads
- Ensure data quality, governance, security, and compliance across platforms
- Collaborate with Data Architects, BI teams, and business stakeholders
- Perform performance tuning, cost optimization, and capacity planning in cloud environments
- Support CI/CD pipelines, version control, and automated deployments
Required Technical Skills
Cloud Platforms
- Strong hands-on experience with AWS (S3, EC2, EMR, Glue, Lambda, Redshift, Athena, Kinesis, IAM)
- Strong hands-on experience with Azure (ADF, ADLS Gen2, Synapse, Databricks, Azure SQL, Event Hubs, Functions)
Data Engineering
- Advanced SQL and data modeling (Star/Snowflake schemas)
- Apache Spark / PySpark, Databricks (AWS & Azure)
- ETL/ELT tools: AWS Glue, Azure Data Factory, custom frameworks
- Streaming technologies: Kafka, Kinesis, Event Hubs
- Data Warehousing: Redshift, Snowflake, Synapse
Programming & Tools
- Python (mandatory), Shell scripting
- CI/CD: Git, Jenkins, Azure DevOps, GitHub Actions
- Infrastructure as Code: Terraform / ARM / CloudFormation
- Monitoring & logging tools
Experience & Background
- 10+ years of total IT experience
- Significant experience working with top-level MNCs in India (mandatory)
- Strong understanding of enterprise-scale data platforms and best practices
- Experience working in global delivery models and client-facing environments
Eligibility & Employment Criteria
- Open to professionals authorized to work on W2 full-time roles
- Candidates with H4 EAD, L2S, Green Card, or US Citizenship are welcome to apply
- Client is not positioned to support sponsorship or third-party arrangements
- No C2C, no subcontracting, no consultancy profiles
What We Offer
- Long-term full-time W2 stability
- Opportunity to work on large-scale, cloud-native data platforms
- Competitive compensation and comprehensive benefits
- Exposure to enterprise-level data modernization initiatives
Note: This role is strictly for individual contributors seeking direct full-time employment. Profiles from staffing firms, consultants, or third-party vendors will not be considered.