ETL Architect

2 days ago

Pittsburgh, United States EvonSys Full time

Job Title: ETL Architect

Location: Pittsburgh

Employment Type: Full-Time

Job Summary

We are seeking an experienced ETL Architect to design, implement, and manage ETL solutions that ensure seamless data integration across enterprise systems. The ideal candidate will have a strong technical background, a deep understanding of data management principles, and expertise in transforming complex business requirements into scalable ETL frameworks.


Key Responsibilities

  1. Architecture Design:
  • Develop and document scalable ETL architectures for data integration and transformation processes.
  • Design data flow processes that align with enterprise data strategy and business needs.
  1. ETL Development:
  • Build, test, and optimize ETL processes using tools such as Informatica, Talend, Apache NiFi, Microsoft SSIS, or equivalent.
  • Implement robust error handling, logging, and performance monitoring mechanisms.
  1. Data Integration:
  • Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements.
  • Integrate data from various sources, including on-premises databases, cloud platforms, and third-party APIs.
  1. Performance Optimization:
  • Monitor and enhance ETL performance to meet SLAs and handle large datasets efficiently.
  • Troubleshoot bottlenecks and resolve issues in data workflows.
  1. Governance and Standards:
  • Ensure compliance with data governance policies, security standards, and regulatory requirements.
  • Establish best practices and documentation for ETL processes.
  1. Team Collaboration:
  • Provide technical guidance to ETL developers and other team members.
  • Act as a subject matter expert in ETL architecture and data integration technologies.


Qualifications and Skills

Required:

  • Bachelor's or Master’s degree in Computer Science, Information Technology, or a related field.
  • Proven experience as an ETL Architect or similar role.
  • Expertise Informatica 10.5, ,UNIX, Mainframe Scheduling, DB View creation, Stored Procedures & DB Tuning.
  • Strong knowledge of SQL, database systems (e.g., Oracle, SQL Server, PostgreSQL), and data modeling.
  • Proficiency in programming or scripting languages (e.g., Python, Java, Shell scripting).
  • Experience with cloud platforms (AWS, Azure, GCP) and associated data services (e.g., AWS Glue, Azure Data Factory).
  • Familiarity with Big Data frameworks (e.g., Hadoop, Spark) is a plus.
  • Solid understanding of data warehousing, data lakes, and real-time data processing.


Preferred:

  • Certification in ETL tools or cloud data services.
  • Experience with Agile/Scrum methodologies.
  • Strong problem-solving and analytical skills.


Key Competencies

  • Strong communication and interpersonal skills.
  • Ability to handle multiple priorities in a fast-paced environment.
  • Detail-oriented with a focus on data accuracy and quality.
  • Team leadership and mentoring capabilities.


Benefits

  • Competitive salary and performance-based incentives
  • Comprehensive health and wellness benefits
  • Opportunities for career development and growth
  • Access to the latest technologies and resources for continued professional development

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