Description

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 modern source code management and software repository systems (Bitbucket)  
  • 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
 
    

Key Skills

Education

Bachelor's degree