AWS Data Engineer

We are currently hiring for an AWS Data Engineer role with one of our financial clients based in Newark, NJ (Hybrid - 3 days onsite). Location: Newark, NJ (Hybrid - 3 days onsite). Work Schedule: 3 days onsite Interview: In-person Required Skills : AWS Data Engineer , Solid experience of AWS services such as CloudFormation, S3, Athena, Glue, Glue DataBrew, EMR/Spark, RDS, Redshift, DataSync, DMS, DynamoDB, Lambda, Step Functions, IAM, KMS, SM, EventBridge, EC2, SQS, SNS, LakeFormation, CloudWatch, Cloud Trail & ETL CDO EDP Foundation platform at Financials Client is looking for a Data Engineer to join a diverse team dedicated to providing best in class Data Platform to our customers, stakeholders, and partners. Client’s Chief Data Office is focused on building a Centralized Enterprise Data Platform (EDP) in AWS to drive meaningful insights from data in a fast, secure, and reliable manner. Enterprise Data Platform will be an integrated repository with aggregated data in a consistent structure. This platform will enable one-click onboarding of on-prem data, one-click onboarding of metadata from various other consumer (EDP & non-EDP) accounts, one-click data sharing with multiple consumer accounts, streamline accessibility, increase reusability, and minimize data redundancy while also being secure and auditable. Qualifications Bachelor's degree in Computer Science, Software Engineering, MIS or equivalent combination of education and experience 8+ years of experience as Data Engineer on AWS Stack with experience on DevOps tool AWS Solutions Architect or AWS Developer Certification required Solid experience of AWS services such as CloudFormation, S3, Athena, Glue, Glue DataBrew, EMR/Spark, RDS, Redshift, DataSync, DMS, DynamoDB, Lambda, Step Functions, IAM, KMS, SM, EventBridge, EC2, SQS, SNS, LakeFormation, CloudWatch, Cloud Trail Implement high velocity streaming solutions and orchestration using Amazon Kinesis, AWS Managed Airflow and AWS Managed Kafka (preferred) Solid experience building solutions on AWS data lake/data warehouse Analyze, design, development, and implementation of data ingestion pipeline in AWS Knowledge implementing ETL/ELT for data solutions End-to-end data solutions (ingest, storage, integration, processing, access) on AWS Knowledge implementing RBAC strategy/solutions using AWS IAM and Redshift RBAC model Build & implement CI/CD pipelines for EDP Platform using CloudFormation and Jenkins Programming experience with Python, Shell scripting and SQL Knowledge of analyzing data using SQL Stored procedures Build automated data pipelines to ingest data from relational database systems, file systems, NAS shares to AWS relational databases such as Amazon RDS, Aurora, and Redshift Build Automated data pipelines to ingest data from Rest APIs to AWS data lake (S3) and relational databases such as Amazon RDS, Aurora, and Redshift. Good Experience of DevOps practice Experience with programming languages (Python) Experience with scripting languages (Shell, Groovy) Experience with API deployment for tooling integration Experience using Jenkins, CloudBees (Pipeline as Code, Shared Libraries) The ability to document exceptions/issues/action plans/meeting minutes/lessons learned accurately and in a timely fashion Experience with administering DevOps tools in SaaS Experience using DevOps Tools (SonarQube, Artifactory etc.) Experience using build tools (Maven, MS Build and Gradle) Experience of Infrastructure as Code using CloudFormation Creating Jenkins CI pipelines to integrate Sonar/Security scans and test automation scripts Part of DevOps QA and AWS team focusing on building CI/CD pipeline Responsible for writing and maintaining Jenkins Pipelines #J-18808-Ljbffr