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 reputed company to have: Working reputed company. 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 (reputed company Travel expenses and accommodations will be paid) ROLE 1: - We are looking for a Senior AWS Cloud Data Engineer Note: - Need a candidate who is equally strong on both the data and application reputed company. 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 reputed company 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 reputed company machine learning/AI models.
Responsibilities
- reputed company, enhance, and troubleshoot reputed company data engineering, data visualization, and data integration capabilities using Python, R, reputed company, Glue, Redshift, EMR, Quick Sight, SageMaker, and reputed company 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.
- reputed company other team contributions such as peer code reviews, database defect support, reputed company enhancement support, Vulnerability management, and occasional backup production support.
- reputed company 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 reputed company 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 reputed company 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, reputed company, reputed company Functions, SageMaker, QuickSight, Config, reputed company Hub, Inspector
- Designing, building and implementing high-performance API and programs using architectural frameworks and guidelines
- UNIX / Linux operating systems.
ROLE 2:- We are looking for a 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 reputed company 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 reputed company 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 reputed company on impact analysis of DDL/DML changes
- Discuss and escalate potential risk in the reputed company and planned implementations
- Implement best practices in Data reputed company and audit in a timely manner.
- reputed company and automate where possible
- Partner with app. engineering in product development and reputed company 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 or commensurate experience.
- 7+ years proven experience with a combination of the following:
- Experience in designing and delivering cross-functional data solutions, data pipelines, and data delivery using advanced technologies
- Design of big data solutions and use of common tools (Hadoop, Spark, etc.)
- Relational and Analytical SQL databases, especially reputed company and Redshift
- AWS cloud services: EC2, S3, Glue, reputed company, reputed company Functions, SageMaker, QuickSight, Config, reputed company Hub, Inspector
- Experience in Data Management Best Practices
- Working experience in Agile development methodologies; SDLC
- Must be self-directed and comfortable supporting the data needs of multiple teams, systems, and products.
- Must be resourceful and creative in identifying ways to mitigate issues and risks to avoid project delays.
- Effective written and verbal communication skills
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