Senior Data Engineer

Location: Hybrid — 3 days/week onsite in Newark, NJAbout the RoleJoin a major investment firm as a Senior AWS Data Engineer supporting enterprise data platform initiatives. This role focuses on building scalable data pipelines, CI/CD automation, and end-to-end data solutions across the AWS ecosystem. Experience with Informatica (data catalogue, marketplace, data lineage, data quality), Denodo, and/or Ataccama is a strong plus.

Qualifications: Bachelor's degree in Computer Science, Software Engineering, MIS, or equivalent combination of education and experience 8+ years of experience as a Data Engineer on the AWS stack, including DevOps toolingAWS Solutions Architect or AWS Developer Certification required Strong hands-on experience with AWS services, including: CloudFormation, S3, Athena, Glue, Glue DataBrew, EMR/SparkRDS, Redshift, DynamoDB, Lambda, Step FunctionsIAM, KMS, SM, EventBridge, EC2, SQS, SNSLakeFormation, CloudWatch, CloudTrail, DataSync, DMSExperience implementing high-velocity streaming solutions using Amazon Kinesis, AWS Managed Airflow, and AWS Managed Kafka (preferred) Proven experience building AWS data lake/data warehouse solutions Skilled in designing, developing, and implementing data ingestion pipelines on AWSKnowledge of ETL/ELT implementation for data solutions Experience delivering end-to-end data solutions: ingest, storage, integration, processing, and access Familiarity implementing RBAC strategies using AWS IAM and Redshift RBAC model Experience building and implementing CI/CD pipelines using CloudFormation and Jenkins Strong programming skills in Python, Shell scripting, and SQLExperience with SQL stored procedures for data analysis Experience building automated pipelines to ingest data from relational databases, file systems, and NAS shares into AWS RDS, Aurora, and Redshift Experience building automated pipelines to ingest data from REST APIs into AWS S3 and relational databases Solid DevOps background, including: Bitbucket (source code management) Python, Shell, Groovy scriptingAPI deployment for tooling integration Jenkins and CloudBees (Pipeline as Code, Shared Libraries) SonarQube, Artifactory, and similar DevOps tools Maven, MS Build, GradleDockerJira and Confluence Infrastructure as Code via Cloud FormationExperience creating Jenkins CI pipelines integrating Sonar/security scans and test automation Ability to accurately document exceptions, issues, action plans, meeting minutes, and lessons learned