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Senior Data Engineer

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Onsite

Senior Data Engineer

TKC Holdings, Inc.

Senior Data Engineer

Skills

SQL QueriesData EngineeringPythonSnowflakeDatabricksData AnalysisOraclePower BIAzure

1 month ago

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Important information


Contract type:

Permanent

Location:

United States

Work mode:

Onsite

Published on:

30 September 2026

What they need


TKC Holdings is seeking a highly skilled Senior Data & Analytics Engineer to support and advance its enterprise reporting, analytics, and cloud data platform initiatives. This role will be responsible for designing, developing, testing, documenting, and supporting Snowflake-based data solutions and Power BI reporting assets while partnering closely with business stakeholders to understand operational and analytical requirements.

The successful candidate will possess a unique combination of business analysis, solution architecture, data engineering, and business intelligence development skills. This individual will work directly with business users to understand processes, gather requirements, analyze business problems, and translate those needs into scalable and maintainable technical solutions.

This position is expected to evolve into a key technical resource within the Data & Analytics organization, developing deep business and platform knowledge while serving as a succession and backup resource for critical data platform responsibilities.

Key Responsibilities

Business Partnership & Analysis

  • Partner directly with business stakeholders to understand operational processes and reporting needs.
  • Facilitate requirements gathering sessions and translate business needs into scalable technical solutions.
  • Analyze business rules, KPIs, data definitions, and operational workflows.
  • Support user testing, validation, and adoption of analytical solutions.

Data Engineering & Architecture

  • Design, develop, and maintain Snowflake data warehouse solutions.
  • Build and optimize ELT/ETL processes using modern data integration tools.
  • Develop scalable dimensional and semantic data models.
  • Support enterprise data architecture and modernization initiatives.
  • Optimize database performance and data processing workloads.

Business Intelligence Development

  • Develop and support Power BI semantic models, dashboards, reports, and dataflows.
  • Enable self-service analytics capabilities across the organization.
  • Ensure reporting accuracy, usability, performance, and maintainability.

Platform Ownership & Governance

  • Participate in architecture reviews, code reviews, and technical standards development.
  • Implement data quality, governance, security, and documentation best practices.
  • Support long-term data platform growth and modernization strategies

What You'll Need

Required Qualifications

  • Bachelor's degree in Computer Science, Information Systems, Data Analytics, Business Analytics, or related field , or equivalent combination of education and experience.
  • 7+ years of experience in business intelligence, analytics, data engineering, or data warehousing.
  • 3+ years of hands-on Snowflake development experience.
  • 3+ years of Power BI development experience.
  • Advanced SQL skills.
  • Experience designing dimensional data models and scalable reporting solutions.
  • Experience developing and supporting ETL/ELT solutions.
  • Proven ability to gather requirements and work directly with business stakeholders.
  • Strong analytical, communication, and problem-solving skills.
  • Demonstrated ability to operate independently and manage complex projects.

Preferred Qualifications

  • Microsoft Fabric experience.
  • Azure Data Factory experience.
  • Databricks experience.
  • Qlik Replicate experience.
  • Oracle and SQL Server experience.
  • Python experience.
  • dbt experience.
  • Azure DevOps and Git experience.
  • Snowflake or Microsoft certifications.

Critical Success Competencies

  • Business Analysis & Requirements Gathering
  • Data Engineering & Architecture
  • Consultative Customer Service
  • Communication & Relationship Building
  • Analytical Thinking
  • Solution Design
  • Ownership & Accountability
  • Continuous Learning
  • Testing & Validation
  • Technical Leadership

Personal Attributes We Value

The ideal candidate demonstrates:

  • A natural curiosity and desire to understand how systems, processes, and businesses operate.
  • A passion for solving problems and finding answers independently.
  • A willingness to challenge assumptions and continuously improve solutions.
  • Strong collaboration skills and a customer-focused mindset.
  • The ability to learn new business domains quickly and effectively.
  • An ownership mentality with a desire to grow into broader platform responsibilities.
  • Provide technical mentoring and guidance to junior developers, analysts, and business users.

Success Measures (First 12 Months)

  • Deliver high-quality Snowflake and Power BI solutions with minimal rework.
  • Build strong working relationships with business stakeholders.
  • Demonstrate the ability to translate business requirements into scalable technical solutions.
  • Improve performance, reliability, and usability of enterprise reporting assets.
  • Contribute significantly to Snowflake migration and data platform modernization initiatives.
  • Develop sufficient platform and business knowledge to serve as a key backup resource for senior members of the Data & Analytics team.
  • Produce maintainable, documented, and supportable solutions that follow team standards.

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