Senior AWS Data Engineer & Platform Lead

Machine Learning Technologies, LLC; Newark (NJ); Presencial; USD 140.000 - 190.000; Jornada completa

Descripción de la vacante

Machine Learning Technologies, LLC seeks an experienced AWS Data Engineer to design, build, and manage scalable data pipelines and data lake architectures on AWS, guiding a team of engineers and collaborating with data scientists and business partners.

You will drive end-to-end solutions using Glue, Redshift, S3, Lambda, EMR, Kinesis, and Athena, mentor engineers, enforce data quality and governance, and advocate DevOps and IaC practices to optimize cost and performance.

Formación

• Bachelor’s or master’s degree in computer science, engineering or a related field.
• 6+ years of data engineering experience, with 3+ years in a technical leadership role.
• Extensive hands-on experience with AWS data services (Glue, Redshift, S3, Lambda, EMR, Kinesis, Athena, RDS).
• Proficient in Python and SQL; Shell scripting and Scala a plus.

Responsabilidades

• Lead design, development, and optimization of large-scale data pipelines and data lake architecture on AWS.
• Architect and implement end-to-end data solutions including ingestion, storage, transformation, and analytics using AWS services.
• Mentor and guide a team of data engineers and conduct code reviews.
• Collaborate with data scientists, analysts and business stakeholders to translate requirements into scalable solutions.
• Oversee migration of data from legacy systems to AWS-based data lakes and warehouses.
• Develop and enforce data quality, security, and governance standards.
• Promote DevOps, CI/CD and IaC practices within the team.
• Ensure cost-effectiveness and performance in line with enterprise data strategy.

Conocimientos

Leadership experience

Data engineering

Cloud architecture

Mentoring

Stakeholder communication

Educación

Bachelor’s or Master’s in CS/Engineering

Herramientas

AWS Glue

Amazon Redshift

Amazon S3

AWS Lambda

Amazon EMR

Kinesis

Athena

RDS

Terraform

Descripción del empleo

Machine Learning Technologies, LLC seeks an experienced AWS Data Engineer to design, build, and manage scalable data pipelines and data lake architectures on AWS, guiding a team of engineers and collaborating with data scientists and business partners.

You will drive end-to-end solutions using Glue, Redshift, S3, Lambda, EMR, Kinesis, and Athena, mentor engineers, enforce data quality and governance, and advocate DevOps and IaC practices to optimize cost and performance.