Sr Data Engineer
Remote - New York City, United States
R
USD 119K-177K Senior-level Full Time
Tasks
- Apply DataOps practices with git based development and CI CD
- Build and maintain orchestration workflows for production data delivery
- Collaborate on technical designs and business consumption requirements
- Design and implement ELT ETL solutions for batch and streaming ingestion
- Develop reusable data processing frameworks and configuration driven pipelines
- Establish data engineering standards naming conventions and documentation
- Implement data quality checks and validation frameworks
- Manage data lifecycle retention archival disaster recovery and resiliency
- Modernize and migrate legacy data flows into Lakehouse patterns
- Provide technical leadership through mentoring design reviews and code reviews
Perks/Benefits
- N/A
Skills/Tech-stack
AWS Glue | AWS Lake | AWS Lake Formation | AWS Step Functions | Amazon Athena | Amazon CloudWatch | Amazon DynamoDB | Amazon EMR | Amazon IAM | Amazon Kinesis | Amazon MWAA | Amazon Redshift | Amazon S3 | Apache Airflow | Apache Hadoop | Apache Iceberg | Apache Kafka | Apache Spark | CI/CD | DBT | DataOps | Git | Kafka Connect | Lake Formation | PySpark | Python | REST APIs | SQL | Step Functions | Terraform
Roles
Regions
Countries
States
Cities
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