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 Cloud Formation, S3, Athena, Glue, Glue Data Brew, EMR/Spark, RDS, Redshift, Data Sync, DMS, DynamoDB, Lambda, Step Functions, IAM, KMS, SM, Event Bridge, EC2, SQS, SNS, Lake Formation, Cloud Watch, 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.

• 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 Dev Ops tool
• AWS Solutions Architect or AWS Developer Certification required
• Solid experience of AWS services such as Cloud Formation, S3, Athena, Glue, Glue Data Brew, EMR/Spark, RDS, Redshift, Data Sync, DMS, DynamoDB, Lambda, Step Functions, IAM, KMS, SM, Event Bridge, EC2, SQS, SNS, Lake Formation, Cloud Watch, 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 Cloud Formation 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 Dev Ops practice
• Experience with programming languages (Python)
• Experience with scripting languages (Shell, Groovy)
• Experience with API deployment for tooling integration
• Experience using Jenkins, Cloud Bees (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 Dev Ops tools in SaaS
• Experience using Dev Ops Tools (Sonar Qube, Artifactory etc.)
• Experience using build tools (Maven, MS Build and Gradle)
• Experience of Infrastructure as Code using Cloud Formation
• Creating Jenkins CI pipelines to integrate Sonar/Security scans and test automation scripts
• Part of Dev Ops QA and AWS team focusing on building CI/CD pipeline
• Responsible for writing and maintaining Jenkins Pipelines