AWS Data Engineer
- Source: LinkedIn
- BSL Consulting
- On-site
- New York City
- Full-Time
- Mid level
Job Description
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
6+years of experience in data engineering.
Extensive hands-on experience with AWS data services (Glue, Redshift, S3, Lambda, EMR/Spark, Kinesis, Athena, RDS, API Gateway, etc.).
Proficient in programming languages such as Python and SQL; experience with Shell scripting and Scala is a plus.
Strong experience designing, implementing, and managing data lakes, data warehouses, and data ingestion pipelines on AWS.
Proven experience with ETL/ELT processes, data modeling, and big data frameworks.
Demonstrated ability to lead, mentor, and coach engineers in a collaborative team environment.
Experience with DevOps practices, CI/CD pipelines, and infrastructure-as-code tools (e.g., CloudFormation, Terraform).
Excellent problem-solving, communication, and organizational skills.
Skills
- amazon-web-services
- aws-glue
- amazon-redshift
- amazon-s3
- aws-lambda
- amazon-emr
- Spark
- amazon-kinesis
- amazon-athena
- amazon-rds-for-mysql
- amazon-api-gateway
- Python
- Scala
- Terraform
