.Net developer

Skills Required:

  • Minimum 4 years of experience in analysis, design and coding
  • Minimum 4 years of experience:
    • .Net Framework and .Net Core
    • C#
    • ASP.NET Core MVC
    • ASP.NET Web APIs
    • Entity Framework Core
    • OLAP Database Design/Development T-SQL
    • MS SQL Server
    • XML/HTML/DHTML/CSS/JavaScript/JQuery/AJAX
  • Must have experience designing and building applications using object oriented analysis and design techniques (OOAD) 
  • Experience with application support, including problem determination and remediation
  • Must be flexible and able to handle all situations in a professional manner
  • High degree of self-motivation, commitment and integrity
  • Must have an excellent attendance and punctuality record
  • Strong problem- determination skills and resolution experience.
  • Excellent teamwork and communication skills (written and verbal)
  • Bachelor’s degree in Computer Science or related analytical field or equivalent experience
  • Additional areas of knowledge/expertise:
    • Experience in implementation design patterns / services oriented architecture / XML web services
    • Experience with Azure DevOps / Git repos
    • Azure CI/CD DevOps pipelines
    • Telerik Kendo
    • .Net 6
    • DB2 query experience
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AWS Data Engineer

Required Qualifications:

  • Design and implement modern data engineering tools to manage petabytes of data using offline/online data integrations.
  • Execution of entire data engineering life cycle steps across phases of Problem Formulation, Data acquisition and assessment, Data Ingestion, Feature selection and engineering, Data Model development and fine-tuning, performance measurement, right up to the delivery of Consumption Module (Application/ Dashboard/ API)
  • Experience with Data Warehousing, Data Lake, Analytic processes, and methodologies.
  • Proficient in writing and optimizing SQL queries and other procedures/scripts
  • Build highly optimized and scalable data pipelines (ETL) using batch and stream processing frameworks (Spark)
  • Strong knowledge of data integration (ETL/ELT), data quality and multi-dimensional
  • Build monitoring and alerting dashboards to identify operational issues in data pipelines
  • Optimize data and compute capacity resources to meet on-demand infrastructure scaling needs, improve cluster utilization and meet application SLAs
  • Work on security compliance and contribute to data and service access controls
  • Implement best practices for disaster recovery and service reliability

Mandatory skills:

  • Amazon Redshift, AWS Glue, AWS CloudTrail, Python, SQL Amazon Kinesis Data Streams, S3 Standard, Amazon S3 Glacier, AWS Key Management Service, No SQL , SQL
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