We are seeking a Senior ETL AWS Lead Engineer to design, build, and optimize large-scale data pipelines and data platforms on AWS using PySpark and cloud-native services. The ideal candidate will have strong architecture, engineering best practices, and hands-on data pipeline development skills.
Key Highlights
Technical Skills Required
Benefits & Perks
Job Description
Job Title: ETL AWS Lead Engineer (Technology Lead – Data on Cloud)
Location: Richardson, TX (Hybrid; relocation accepted)
Duration: 12 Months plus only on w2
Experience: 15+ Years
Certification: AWS Required
Please share me the resumes at pranay@burgeonits.com
Job Description:
Seeking a senior ETL AWS Lead Engineer to design, build, and optimize large-scale data pipelines and data platforms on AWS using PySpark and cloud-native services. Candidate must be strong in architecture, engineering best practices, and hands-on data pipeline development.
Required Skills:
- 5+ years ETL & big data engineering using PySpark & SparkSQL
- Strong SQL with query tuning (Oracle, SQL Server, Teradata)
- AWS services experience across:
- Ingestion: Kinesis, DMS
- Storage: S3, RDS, Redshift, DynamoDB
- Analytics/ML: Glue, EMR, Athena, SageMaker, Bedrock
- Compute: EC2, Lambda, ECS
- Security: IAM, KMS, SSE
- Python, REST APIs (API Gateway, Node.js)
- CI/CD using GitHub, Linux/Unix scripting
- File formats: JSON, Parquet, Avro
- Exposure to Docker/Kubernetes, Delta Lake, data quality frameworks
Nice to Have:
- Team leadership & mentoring experience
- Agile delivery and cross-team collaboration
- Strong communication & stakeholder handling
Preferred:
- BI tools (QuickSight, Tableau)
- Data governance/security/compliance knowledge
- Experience with performance & observability for data pipelines
Key Responsibilities:
- Build and optimize AWS data pipelines and ETL workflows
- Design AWS-based data lake/data warehouse models
- Lead performance engineering & security compliance
- Mentor team on AWS & ETL best practices
- Support testing, RCA, and technical documentation
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