Note: The job is a remote job and is open to candidates in USA. Vertical Relevance is seeking an AWS Data & Analytics Consultant to join its team as a full-time remote employee. The role is responsible for planning, designing, building, and deploying cloud-based data solutions, including AWS data lakes, data quality and governance solutions, ingestion frameworks, orchestration, and storage architectures, while providing technical and strategic guidance to customers.
Responsibilities
- Help customers shape their journey to adopting the cloud and provide our customers with technical and strategic guidance on their “cloud journey”
- Consult, plan, design, and implement Data solutions on the cloud customers
- Design AWS Data Lake implementations
- Design and Develop AWS Data Quality and Governance solutions
- Become a deep technical resource that earns our customer's trust
- Develop high-quality technical content such as automation tools, reference architectures, and white papers to help our customers build on the cloud
- Innovate on behalf of customers and translate your thoughts into action yielding measurable results
- Support solution development by conveying customer needs and feedback as input to technology roadmaps. Share real world implementation challenges and recommend expansion of capabilities through enhanced and new offerings
- Assist with technical briefs that document solutions
- Assist with reference architecture implementations
- Work with Marketing/Alliances to write blog posts
- Work with Marketing/Alliances to develop internal case studies
- Assist Customer in building out a framework for data collection, data ingestion and catalog, data storage and data serving designed to optimize the efficiency in which information is accessed, curated, served and analyzed from up to two on-premises data sources
- Assist Customer with implementing Amazon Virtual Private Cloud (Amazon VPC), account, Amazon Simple Storage Service (Amazon S3) bucket strategy and capture impact for introducing critical data for a data lake
- Assist Customer with achieving modern big data lambda architecture, providing an environment for consumption and utilization of data coming from either batch or streaming sources
- Assist Customer with defining detailed data architecture including raw data, conformed, structured, enriched, and aggregated
- Provide Customer general best practices in building production quality data pipeline for ingestion, transformation and consumption to downstream applications through a serving layer
- Assist Customer with defining details to data catalog and data serving layer through application program interfaces (APIs) if required
- Provide Customer general best practices for Amazon S3 data storage approach
- Based on Customer’s ingestion requirements provided. Assist Customer with building a reusable ingestion framework to onboard new data quickly based on one data source example
- Assist Customer with designing and building robust data ingestion solutions using monitoring, logging and alerting servicing with retry capabilities
- Assist Customer with server-less approaches where if applicable for the ingestion
- Assist Customer with building the framework for managing data updates to data stored in objects on Amazon S3
- Based on Customer’s ingestion, orchestration and operational requirements. Provide general best practices to Customer for implementing an extensible and supportable orchestration framework for onboarding data to a lambda architecture for a representative data source
- Advise Customer on leveraging AWS Services tools for data ingestion including Amazon Kinesis, Amazon EMR, AWS Lambda or other tool defined as part of the assessment
- Advise Customer on orchestration options on AWS Services including but not limited to AWS Glue, AWS Step Functions, AWS Batch, Amazon EMR, AWS Data Pipeline, AWS Lambda or other AWS native orchestration tooling
- Assist Customer with building out the orchestration and state management processes to support data processing without data loss and exception and identify error handling
- Advise Customer on how the orchestration tooling will provide operational feedback to the support organizations in the event of a failure
- Based on Customer’s usage requirements. Assist Customer with building the data lake storage approach for a representative data source
- Assist Customer with building data storage including buckets, prefixes, encryption, file types, partitioning
- Assist Customer with building automated data partition strategy
- Assist Customer with building Amazon S3 Bucket policies, logging and monitoring
- Assist Customer with building out data lifecycle management
- Assist Customer with building cross-region replication if required
Skills
- Professional experience architecting/operating Data / DevOps solutions built on AWS
- Experience in software/technology customer facing experience
Benefits
- Work remotely
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