Product Owner with EDA - Boston, United Kingdom - Marvel Infotech

Description

Title : Product Owner withEDA

Location : BostonMA.

Duration : Full time(Remote)

Required skills:

EDA (Event drivenArchitecture) architect experience is must.

The candidate must have experience asProduct owner with healthcare payer(US Health insurance) domainexperience and experience in implementing EDA(Event drivenArchitecture) excellent communication skills.Candidate must be senior experienced resource whowill help champion the EDA (Event Driven Architecture)

We are seeking anexperienced and detailoriented Business Analyst to join our teamand take a leading role in driving the implementation andoptimization of data pipelines within our AWS data lake and datawarehouse. As an AWS Data Pipeline Business Analyst you willcollaborate with business partners technical teams and vendors togather requirements design efficient data workflows and ensuresuccessful project completion.

Responsibilities:

• Work closely with business partners to understand theirdata requirements and objectives and translate them intowelldefined technical specifications for data pipelineimplementation.
• Collaborate with technicalteams to design and implement data ingestion transformation andprocessing workflows within our AWS data lake and datawarehouse.
• Evaluate and recommend appropriateAWS services and technologies for building scalable and reliabledata pipelines such as AWS Glue AWS Data Pipeline Amazon Redshiftor AWS Lambda.
• Gather and document datamapping transformation rules and data quality requirements toensure accurate and consistent data flows across thepipelines.
• Collaborate with the EnterpriseData Service team to ensure compliance with data governancesecurity and privacy policies throughout the data pipelinelifecycle.
• Facilitate the integration of datafrom various sources into the data lake and data warehouse ensuringdata integrity consistency and optimization.
• Conduct thorough testing and validation of data pipelinesto ensure functionality performance and reliability and coordinatewith stakeholders to resolve any issues or defects.
• Provide training and support to endusers helping themleverage the full capabilities of the data pipelines and AWS dataservices.
• Monitor the performance andeffectiveness of data pipelines identify opportunities foroptimization and efficiency improvements and proposerecommendations for enhancements.
• Stayuptodate with the latest AWS data services features and industrybest practices and actively contribute to the continuousimprovement of data pipeline processes.

Requirements:

• Proven experience as a Business Analyst in implementingand optimizing data pipelines within AWS environments including AWSdata lake and data warehouse solutions.
• Strongunderstanding of AWS data services and technologies such as AWSGlue AWS Data Pipeline Amazon Redshift AWS Lambda and related datastorage and processing services.
• Indepthknowledge of data ingestion transformation and ETL (ExtractTransform Load) processes as well as data integration and dataquality principles.
• Experience with datagovernance data security and data privacy considerations in an AWSenvironment.
• Proficiency in SQL data modelingand data visualization tools as well as scripting languages likePython or PySpark.
• Excellent analytical andproblemsolving skills with the ability to gather and translatecomplex business requirements into effective data pipelinesolutions.
• Strong communication andcollaboration skills to engage with business partners technicalteams and vendors.
• Experience in projectmanagement methodologies and tools to drive project execution andensure successful project completion.
• Bachelors degree in Computer Science Information Systemsor a related field is preferred.