Senior Lead Full-Stack & Data Integration Engineer

Telnet, Inc.

Hartford (CT)

On-site

USD 120,000 - 150,000

Full time

14 days+

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Job summary

Telnet, Inc. in Hartford, CT seeks a Senior Lead Full Stack Developer to guide design and implementation across SDLC for existing .NET apps and a new SACWIS system.

You will mentor teams, ensure quality, and coordinate with the System Integrator. You will create and maintain SSRS reports and SSIS ETL packages, support SOA integration, verify requirements and deliverables, and drive data migration and performance optimization.

Qualifications

  • A minimum of 10+ years in data analytics/BI and data warehousing.
  • 5+ years of Tableau experience and dashboard development.
  • 5+ years of SQL/T-SQL, SSRS, SSIS or Talend experience.

Responsibilities

  • Design and develop database architecture, relational models and data dictionaries.
  • Develop ETL/ELT solutions for data ingestion, cleansing and business rules execution.
  • Migrate and integrate data from legacy systems to new platforms and technologies.
  • Develop and maintain SQL scripts, stored procedures, and triggers to support applications.
  • Create, deploy and maintain SSIS packages; optimize data load performance.
  • Collaborate with Business Analysts to validate requirements and data mappings.
  • Implement data integration with external sources and internal systems.
  • Develop Tableau reports with dynamic grouping, sub-reports and cross-tab visuals.

Skills

Tableau
SQL queries
T-SQL/SSRS/SSIS or Talend
Query performance
SSIS deployment with Git
Transact-SQL
Tallend reports
Team Foundation
Problem solving
Flexibility

Job description

Telnet, Inc. in Hartford, CT seeks a Senior Lead Full Stack Developer to guide design and implementation across SDLC for existing .NET apps and a new SACWIS system.

You will mentor teams, ensure quality, and coordinate with the System Integrator. You will create and maintain SSRS reports and SSIS ETL packages, support SOA integration, verify requirements and deliverables, and drive data migration and performance optimization.

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