Data Modelling Architect

4 weeks ago

Gurugram, India ConnectIO Full time
Data ModellingArchitectLevel: AssociateArchitectExp: 1014 YONLYLocation: Bangalore ManyataGurgaon (Only maleCandidates)Notice Period:Immediate to 30 DaysBelow are the few points to concentrateon:
  • TechnicalExpertise: Look for candidates with astrong understanding of cloud platforms (e.g. AWS Google CloudAzure ) and data technologies/platforms(e.g. Teradata Oracle SQLserverSQL NoSQL big data toolsetc).
  • Data ModelingSkills: Assess their ability to designeffective data models and schema for databases data warehouses anddata lakes.
  • CloudServices Knowledge: Seek candidates whoare proficient in using cloudbased data services like Snowflake AWSRedshift Azure Data Factory or GoogleBigQuery.
  • CommunicationSkills: Effective communication is vitalto collaborate with crossfunctional teams andstakeholders.
  • Curious: Be curious ask questions. curiouscandidate is more likely to proactively explore new technologiesand data solutions ask questions and seek innovative ways to solvedatarelated problems. Their inquisitiveness can drive continuousimprovement and a deeper understanding of data systems andarchitectures making them a valuable asset to ourteam.
  • Data IntegrationSkills: Evaluate their experience in integrating data from varioussources and ensuring data quality andconsistency.
  • Securityand Compliance: Ensure they are wellversed in data security andcompliance standards as protecting data isparamount.
  • PerformanceOptimization: Assess their ability to tune and optimize dataarchitecture for efficient data processing andquerying.
  • DataPipeline Management: Look for experience in building and managingdata pipelines ETL processes and dataworkflows.
  • ProblemSolvingAbilities: Gauge their problemsolving skills to address datarelatedchallenges and troubleshootissues.
  • Adaptability:Given the rapidly evolving technology landscape candidates shouldshow a willingness to learn and adapt to new tools andtechniques.
  • ProjectExperience: Check if they have a track record of successfullyimplementing data architecture in realworldprojects.
  • Certifications:Consider certifications such as AWS Certified Data Analytics GoogleCloud Professional Data Engineer or Azure Data Engineer for addedcredibility.
  • CulturalFit: Ensure the candidate aligns with your organizations values andculture as teamwork is crucial in data architectureroles.
  • Soft Skills:Look for attributes like attention to detail analytical thinkingand a passion fordata.

dataarchitecture,cloud,architecture,datamodeling,architects,google,azure,aws,snowflake,amazonredshift

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