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| Job Location | Noida |
| Education | Not Mentioned |
| Salary | Not Disclosed |
| Industry | IT - Software |
| Functional Area | Architecture |
| EmploymentType | Full-time |
Position Senior Data ArchitectWork Location NoidaExperience 15+ YearsQualification BE/B. Tech /MCAJob DescriptionThe person in the role of Sr. Data Architect will be responsible for architecting , designing and creating secure , resilient, robust and scalable data platforms and ETL pipelines using open source and cloud managed data services.He/She will be responsible for defining data strategy , helping customer building true data driven culture , and reliable data infrastructure which is scalable with growth.Person is also expected to contribute as an expert to multiple delivery teams , defining best practices , building reusable design & components ,capability building , aligning industry trends and actively engaging with wider data community.Continuous intelligence , DataOps and multicloud experiences are of significant importance for this role.Suitable Candidate must have1. At least 5+ years of experience in an Architect role which should include architecting solutions using Big Data technologies. Minimum 3 big data project experience of delivering from scratch.2. Hands on experience on any of the hadoop distribution Hortonworks/Cloudera along with Kafka, Flink, Spark, Airflow, nifi, Oozie, Pig, Hive,Impala Sqoop. Storage like HDFS , Object Storage (S3 etc), RDBMS, MPP and Nosql DB.3. Strong data modelling expertize for Datawarehouse , data lake , delta lake , data hub (Kimball or Inman, DataVault2).4. Hands on experience in building real time and batch processing solution using open source and cloud managed services.5. Strong experience in script based ETL tool preferably python or scala or java.6. Strong agile mindset and ability to collaborate efficiently with large teams.7. Experience of processing huge amount of data , performance tuning , cluster administration, High availability and failover , backup restore.8. Rich data governance experience , data security , data quality , provenance / lineage.9. Experience in managing demanding stakeholders and working in parallel on multiple projects.10. Prior experience of working with practices and horizontal functions is desirable. It is expected to contributed to Pre-sale and solutioning opportunities.11. Good understanding of industry trends and products in dataops , continuous intelligence , Augmented analytics , and AI/ML.12. Excellent communication and Stakeholder management skills,
Keyskills :
data qualityetletl toolinformaticaunixbatch processingstakeholder managementdata modelingbig datadata securityhigh availabilityopen sourceerwindata governanceperformance tuningcapability building