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Product Owner

4 weeks ago

Abu Dhabi, United Arab Emirates LANDMARK Group Full time
Roles and responsibilities
  • Responsible for thedesign, implementation, and optimization of data solutions as anexpert Azure Data Engineer with 6-8 years ofexperience
  • Proficiency in programming languageslike Python, SQL, or Scala for data manipulation, transformation,and analysis
  • Expertise in data modelling, datawarehousing, and data integrationconcepts.
  • Sound knowledge of data governancepractices, data quality management, and data securityprinciples
  • Develop efficient ETL pipelinesusing Azure Data Factory and ensure data quality and storage viaAzure Data Lake
  • Utilize your proficiency incomplex stored procedures within Azure Databricks to enableadvanced analytics on data volumes exceeding50TB
  • Collaborate cross-functionally tocontribute to data-driven initiatives, leveraging Azure SynapseAnalytics to provide actionable insights
  • Applyyour deep understanding of the retail domain to enhance datastrategies and solutions for retail-specificchallenges
  • Play a pivotal role in shaping ourorganization's data-driven journey, driving innovationthrough data analytics and insights
  • Optimizedata storage, processing and retrieval mechanisms for performance,cost, and scalability using data storage services (such as AzureData Lake Storage, Azure SQL Database, etc.), data processingservices (such as Azure Data Bricks, Azure Synapse, etc.) and datavisualization (PowerBI, Qlik, etc.) & integration services(Data API builder, logic apps, etc.)
  • Monitorand troubleshoot data platform performance, identify and resolveissues, and provide recommendations for continuousimprovement
  • Collaborate with DevOps teams toautomate deployment, configuration, and monitoring processes usingAzure DevOps, PowerShell, or other relevanttools
  • Stay up to date with the latest trendsand advancements in cloud data services and provide recommendationson adopting new technologies or features to enhance the dataplatform
  • Document technical designs,procedures, and guidelines for data platform engineering andoperations

Knowledge, Skills&Experience

RelevantJob Experience

  • Bachelor's degree in ComputerScience, Engineering, or a related field. Advanced degreepreferred
  • Proven 6-8 years’experience in designing, implementing solutions on the Azureecosystem including expertise in Azure services such as Azure DataFactory, Azure Databricks, Azure Machine Learning, Azure Data LakeStorage, and Azure SQL Database, Azure Synapse, PowerBIetc..
  • Experience with big data technologiessuch as Apache Spark, Hadoop, or similarframeworks
  • Solid understanding of cloudcomputing concepts and experience with cloud infrastructuremanagement and provisioning
  • Solid understandingof network security concepts and technologies (such as firewalls,VPNs, intrusion detection/prevention systems, etc.) and datasecurity concepts and technologies (such as access controls,encryption, observability, privacy laws/regulations,etc.)
  • Experience in a Retail setup ispreferred
  • Azure certifications such as AzureData Engineer Associate or Azure Solutions Architect Expert ispreferred

Desired candidate profile

A ProductOwner is a key role in agile product development, responsible fordefining and prioritizing the features and requirements of aproduct. They act as a liaison between stakeholders, includingcustomers and development teams, to ensure that the product alignswith business goals and user needs. Here are the key skills andresponsibilities associated with thisposition:

Vision andStrategy

  1. ProductVision: Developing and communicating a clear productvision that aligns with the organization's goals andcustomer needs.
  2. StrategicPlanning: Collaborating with stakeholders to defineproduct strategy androadmap.

RequirementsGathering

  1. UserStories: Writing and refining user stories andacceptance criteria that clearly articulate productrequirements.
  2. StakeholderEngagement: Gathering input and feedback fromstakeholders, including customers, marketing, and salesteams.

Prioritization

  1. BacklogManagement: Maintaining and prioritizing the productbacklog to ensure that the most valuable features are deliveredfirst.
  2. ValueAssessment: Evaluating the business value and impactof features to make informed prioritizationdecisions.

Collaboration withDevelopment Teams

  1. SprintPlanning: Participating in sprint planning meetingsto communicate priorities and clarifyrequirements.
  2. DailyStand-ups: Engaging with the development team duringdaily stand-ups to address questions and provideguidance.

Product DevelopmentOversight

  1. FeatureDevelopment: Collaborating with designers anddevelopers to ensure that features are built according tospecifications and meet qualitystandards.
  2. ContinuousFeedback: Gathering feedback during and afterdevelopment to refine features and improve futureiterations.

StakeholderCommunication

  1. ProgressUpdates: Providing regular updates to stakeholderson product development progress, timelines, andchanges.
  2. DemoSessions: Leading product demonstrations to showcasenew features and gatherfeedback.

User-CentricFocus

  1. UserResearch: Conducting user research and testing tounderstand user needs and painpoints.
  2. UsabilityTesting: Evaluating product usability and makingrecommendations for enhancements based on userfeedback.

Data-Driven DecisionMaking

  1. Analytics:Utilizing data and analytics to inform product decisions andmeasure success against key performance indicators(KPIs).
  2. MarketAnalysis: Staying informed about market trends andcompetitor products to identify opportunities fordifferentiation.

Adaptability andProblem-Solving

  1. Flexibility:Adapting to changing market conditions, user feedback, andorganizationalpriorities.
  2. ConflictResolution: Navigating and resolving conflictsbetween stakeholders and development teams regarding productdirection.