5-7 years of Data Engineering experience, with 3+ years in a Lead/Technical Lead role
Proficient in AWS data services such as Glue, Redshift, S3, Lambda, EMR/Spark, Kinesis, Athena, RDS, and API Gateway
Strong skills in Python and SQL
Experience with Data Lakes, Data Warehouses, ETL/ELT, Data Modeling, and Big Data frameworks
Familiarity with DevOps practices, CI/CD, and Infrastructure as Code
Hands-on experience with Terraform and/or CloudFormation
Excellent technical leadership, mentoring, and communication skills
Responsibilities
Lead the design and development of large-scale AWS data pipelines and data lake architectures
Design end-to-end solutions for data ingestion, storage, transformation, and analytics
Provide technical leadership and mentoring for Data Engineering teams
Collaborate with Data Scientists, Analysts, and business stakeholders to translate requirements into scalable solutions
Oversee legacy data migration to AWS-based data lakes and data warehouses
Establish standards for data quality, security, governance, performance, and scalability
Drive DevOps, CI/CD, and Infrastructure-as-Code practices
Troubleshoot complex data engineering issues and provide technical guidance
Benefits
Hybrid work model with flexibility
Opportunity for professional growth and mentorship
Engagement with cross-functional teams
Involvement in cutting-edge AWS technologies
Focus on data quality and governance standards
Full Job Description
Job Description
Position: AWS Lead Data Engineer
Location: Newark, NJ - Hybrid
Interview: In-person interview required in Newark, NJ
Role Overview
We are looking for an experienced AWS Lead Data Engineer to provide technical leadership and design, develop, and optimize scalable data solutions on AWS. The role involves leading data engineering initiatives, mentoring engineers, and working closely with cross-functional teams to deliver reliable, secure, and high-performing data platforms.
Key Responsibilities
Lead the design and development of large-scale AWS data pipelines and data lake architectures.
Design end-to-end solutions covering data ingestion, storage, transformation, and analytics.
Provide technical leadership, mentoring, and code review for Data Engineering teams.
Work with Data Scientists, Analysts, and business stakeholders to translate requirements into scalable solutions.
Lead legacy data migration to AWS-based data lakes and data warehouses.
Establish standards for data quality, security, governance, performance, and scalability.
Drive DevOps, CI/CD, and Infrastructure-as-Code practices.
Troubleshoot complex data engineering issues and provide technical guidance.
Mandatory Skills
Strong exp as Data Engineering experience with 3+ years in a Lead/Technical Lead role
Strong hands-on experience with AWS data services, including:
AWS Glue
Amazon Redshift
Amazon S3
AWS Lambda
EMR / Spark
Kinesis
Athena
RDS
API Gateway
Strong Python and SQL skills
Experience with Data Lakes, Data Warehouses, ETL/ELT, Data Modeling, and Big Data frameworks
Experience with DevOps, CI/CD, and Infrastructure as Code
Hands-on experience with Terraform and/or CloudFormation
Strong technical leadership, mentoring, and communication skills
Qualifications
Additional Information
All your information will be kept confidential according to EEO guidelines.
