Data Engineer in Ospyn Technologies

Last date of application : 29-11-2024 6:00 pm

 Ospyn Technologies Limited

 

Company: Ospyn Technologies Limited


Designation: Data Engineer


Location     :Trivandrum


Requirements: 


  • Proficiency in SQL and NoSQL databases.
  • Strong programming skills in Python and SQL; familiarity with Java, Scala, or R is a plus.
  • Knowledge of data modeling techniques (e.g., star schema, snowflake schema, normalization, denormalization).
  • Experience with big data technologies (e.g., Hadoop ecosystem, Spark, Kafka).
  • Implementing data governance and ensuring data quality.
  • On-premises infrastructure management (e.g., server management, networking, storage, Linux, Windows Server).
  • Experience with on-premises cluster management (e.g., Cloudera, Hortonworks).
  • Implementing on-premises security measures is a plus (e.g., firewalls, VPNs, data encryption).
  • Proficiency with Azure data services (e.g., Azure Data Factory, Azure SQL Database, Azure Synapse Analytics, Azure Databricks, Azure Data Lake Storage).
  • Implementing cloud security best practices (Azure AD, Key Vaults, VPCs).
  • Experience with cloud compute and storage services (Azure VMs, EC2, GCP Compute Engine, Azure Blob Storage, EBS, Cloud Storage).
  • Strong problem-solving, communication, and collaboration skills.
  •  B.Tech/ M.Tech/ BCA/ MCA graduates are preferred



Experience :3-8 Years



About Company


Transform your enterprise to a digital enterprise Ospyn is an Independent Software Vendor offering Digital Enablement and Experience Platform (DEEP), a digital transformation platform, to digitize the entire operations of enterprises. For enterprises tethered to paper-based operations and processes, Ospyn is the digital transformation partner, digitizing entire processes to accelerate operations. This is achieved by reaching digitized documents to authorized resources on any device, anytime, anywhere to overcome effort duplication. In this way, DEEP phases out incomplete or lost information and lengthy paper-based workflow, and offers relevant insights to decision makers, by mapping structured application data with unstructured paper-documents. Enterprise Document Management, University & Institute Management, Enterprise Resource Planning and Talent Management are the major applications based on DEEP Platform.

 


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