Senior AWS Cloud Data Engineer/Architect | W2 Contract

We have two Openings below:

Must have working experience with the following and should be in the resume:

• Big Data
• Hadoop/Spark
• IaC
• AWS
• Redshift
• AWS-based data lake architectures
• API integrations

Nice to have:

• Working exp. On Transactional applications or systems.

Details Below:

• Location: Remote
• Need to be Onsite in Every 3 months
• Interview Process: 2 rounds of Virtual Interview and Final Interview will be In Person (All Travel expenses and accommodations will be paid)

ROLE 1: Senior AWS Cloud Data Engineer

Note: Need a candidate who is equally strong on both the data and application side.

ABOUT THE ROLE:

We are looking for a Data Engineer to design and build capabilities for a cutting-edge, cloud-based big data analytics platform. You will report to an engineering leader and be a part of an agile engineering team responsible for developing complex cloud-native data processing capabilities as part of an AWS-based data analytics platform. You will also work with data scientists, as users of the platform, to analyze and visualize data and develop machine learning/AI models.

Responsibilities

• Develop, enhance, and troubleshoot complex data engineering, data visualization, and data integration capabilities using Python, R, Lambda, Glue, Redshift, EMR, Quick Sight, SageMaker, and related AWS data processing and visualization services.
• Provide technical thought leadership and collaborate with software developers, data engineers, database architects, data analysts, and data scientists on projects to ensure data delivery and align data processing architecture and services across multiple ongoing projects.
• Perform other team contributions such as peer code reviews, database defect support, Security enhancement support, Vulnerability management, and occasional backup production support.
• Leverage DevOps skills to build and release Infrastructure as Code, Configuration as Code, software, and cloud-native capabilities, ensuring the process follows appropriate change management guidelines.
• In partnership with the product owner and engineering leader, ensure team has a clear understanding of the business vision and goals and how that connects with technology solutions.

Qualifications

• Bachelor's degree with a major or specialized courses in Information Technology or commensurate experience.
• 7+ years proven experience with a combination of the following:
  • Designing and building complex data processing pipelines and streaming.
  • Design of big data solutions and use of common tools (Hadoop, Spark, etc.)
  • Relational SQL databases, especially Redshift
  • IaC tools like Terraform, Ansible, AWS CDK.
  • Containerization services like EKS, ECR.
  • AWS cloud services: EC2, S3, RDS, Redshift, Glue, Lambda, Step Functions, SageMaker, QuickSight, Config, Security Hub, Inspector
  • Designing, building and implementing high-performance API and programs using architectural frameworks and guidelines
  • UNIX / Linux operating systems.

ROLE 2: Senior AWS Cloud Data Architect

ABOUT THE ROLE:

We are looking for a Data Architect to Architect, Design and build capabilities for a cutting-edge, cloud-based big data analytics platform and Portal/Transactional application. You will report to an engineering leader and be a part of an agile engineering team responsible for developing complex cloud-native data processing capabilities as part of an AWS-based data analytics platform and Portal application.

Responsibilities

• Support multiple products simultaneously and effectively. Communicate and collaborate with stakeholders and meet commitments as planned
• Understand requirements and render those as architectural data models that will operate at a large scale and high performance, and advise on how to implement these architectural models into cloud native database technologies
• Document data management best practices, standards, and reference architecture.
• Publish data models for the development team and the BA's reference
• Investigate and advise on data quality and ways to improve system reliability and performance
• Collaborate with peer data architects and application architects to eliminate duplication of work and bring common standards.
• Take lead on impact analysis of DDL/DML changes
• Discuss and escalate potential risk in the current and planned implementations
• Implement best practices in Data Security and audit in a timely manner.
• Develop and automate where possible
• Partner with app. engineering in product development and lead in selection of best of breed data management technologies in cloud
• Conduct data architecture evaluation and report on deficiencies.
• Participate in planning and effort estimation
• Work towards creating an enterprise level data strategy to create best vale by using "data as asset"
• Ensure CI/CD pipeline and release practices are followed consistently.

Qualifications

• Bachelor's degree with a major or specialized courses in Information Technology