Why This Role Stands Out
This hybrid AWS Data Engineer role offers significant growth potential through leading complex data projects and mentoring a talented team, perfect for experienced engineers seeking to deepen their AWS expertise and make a substantial impact. You'll thrive here if you possess strong leadership skills and a passion for building robust, scalable data solutions within a collaborative environment. Apply today to join a reputable organization that values innovation and professional development!
Quick Overview
Seniority
Mid Senior
Work mode
Hybrid
Location
Newark, NJ, United States
Posted
3 weeks ago
SQLScalaShellAPI GatewayAWSETLCloudFormationPythonRedshiftTerraform
Job Description
- 7 plus years of experience in data engineering, with at least 3 years in technical leadership or lead engineer role.
- 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 like CloudFormation, Terraform.
- Excellent problem-solving, communication, and organizational skills.
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