AWS Lead Data Engineer
Location: Newark, NJ (Hybrid β 3 days onsite), Local Only & Dont share Non Local profiles.
Visa: H1B,H4-EAD Only
Email: [Upgrade to PRO to see contact]
Engagement: Contract
Need 12+ atleast
Client: Leading Investment Firm
Localsπ―π―
We are seeking an experienced AWS Lead Data Engineer to join a high-performing Data Engineering team. This role requires a strong technical leader who can architect, build, and scale modern data solutions on AWS while guiding a team of engineers and partnering with business stakeholders.
The ideal candidate will bring deep expertise in AWS data services, strong leadership capabilities, and a hands-on approach to building scalable and secure data platforms.
Key Responsibilities
Lead the design, development, and optimization of scalable, secure, and high-performance data pipelines and data lake architectures on AWS
Architect and implement end-to-end data solutions including ingestion, storage, transformation, and analytics using AWS services such as Glue, Redshift, S3, Lambda, EMR, Kinesis, Athena, and RDS
Required Qualifications
Bachelorβs or Masterβs degree in Computer Science, Engineering, or a related field
7+ years of experience in data engineering, including at least 3 years in a lead or technical leadership role
Strong hands-on experience with AWS data services including Glue, Redshift, S3, Lambda, EMR/Spark, Kinesis, Athena, RDS, and API Gateway
Proficiency in Python and SQL; experience with Shell scripting and Scala is a plus
Proven experience designing and building data lakes, data warehouses, and large-scale data pipelines on AWS
Strong background in ETL/ELT processes, data modeling, and big data frameworks
Experience leading and mentoring engineering teams in a collaborative environment
Hands-on experience with DevOps practices, CI/CD pipelines, and infrastructure-as-code tools such as CloudFormation or Terraform
Excellent problem-solving, communication, and organizational skills
Preferred Qualifications
AWS certification (Solutions Architect or Data Engineer)
Experience with real-time data streaming technologies
Knowledge of data governance, compliance, and security best practices
Familiarity with Lakehouse architecture and modern data platforms