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). Titel : AWS Data Engineer 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 using containers (Docker) • Experience using Atlassian suite (Jira, Confluence) • 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