Software
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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
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