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Consulting/Contract
UG :- - Not Required
PG :- - Not Required
No of position :- ( 1 )
Post :- 21st Sep 2023
• Collaborate with stakeholders to develop a data strategy that meets corporate needs and industry requirements.
• Create an inventory of the data necessary to build and implement a data architecture.
• Envision data pipelines and how data will flow through the enterprise.
• Maintain a repository of all data architecture, procedures and artifacts
• Evaluate current data management technologies and what additional tools are needed.
• Determine upgrades and improvements to current data architectures.
• Design, document, build and implement database architectures and applications.
• Build data models for database structures, analytics and AI applications.
• Develop and enforce database development standards.
• Integrate new systems and functions like security, performance, scalability,
reliability and data recovery.
• Research new opportunities and create methods to acquire data.
• Develop measures that ensure data accuracy, integrity and accessibility.
• Continually monitor, refine and report data management system performance.
Skills:
• Graduate or post graduate in Computer science/Electronics/Software engineering.
• 10+ years of relevant experience in Data Architectures and solutioning.
• Extensive knowledge on the AWS Platform and has an AWS Certification. Working on SnowFlake and pipeline tools like Fivetran or Matillion
• Well-versed with the Data services, integration, ingestion, ELT/ETL, Data Governance, Security and Meta-driven Development
• Experience on services like Glue, Athena, Lambda, Sage maker, Quick Sight, CloudWatch, API Gateway, RDS, RedShift, DynamoDB, Kinesis DataStream’s etc.
• Experience on open-source tools like Kafka, Spark, Splunk, Superset etc.
• Expert in SQL/Query handling
• Knowledge on various services and technologies on the Data Landscape
• Clear understanding of best-practices prevailing in the industry on data solutions
• Good understanding of Analytics Platform Landscape that includes AI/ML Models.
• Experience on a Data Visualization tool like PowerBI / Tableau / Qlik /Quick Sight etc.
• Awareness of other Cloud and Data Platforms
• Great communication and presentation skills