Lead Data Integrator Engineer

Company Overview

As specific details regarding the company are not provided, this section has been omitted.

Job Summary

The Lead Data Integrator Engineer will play a pivotal role in ensuring the seamless integration of data across various systems and platforms. The engineer will be responsible for leading integration efforts, optimizing data flow, and ensuring data accuracy and accessibility to support the organization’s objectives.

Responsibilities

• Design and develop data integration architectures and solutions that align with the company’s goals.
• Lead a team of engineers to implement and maintain data integration processes and tools.
• Collaborate with cross-functional teams to gather requirements and design effective data integration solutions.
• Monitor and optimize data integration performance and troubleshoot issues as they arise.
• Ensure data integrity by implementing quality checks and validation processes.
• Stay updated on industry trends and best practices in data integration technologies.

Qualifications

• Educational Background: Bachelor's degree in Computer Science, Information Technology, or a related field; Master's degree preferred.
• Technical Skills:
  • Proficiency in ETL (Extract, Transform, Load) tools and methodologies.
  • Experience with data integration platforms (e.g., Talend, Informatica, Apache Nifi).
  • Strong knowledge of SQL and database management systems (e.g., MySQL, Oracle, SQL Server).
  • Familiarity with data warehousing concepts and implementation.
• Soft Skills:
  • Strong analytical and problem-solving abilities.
  • Excellent communication and interpersonal skills.
  • Proven leadership abilities and experience in managing engineering teams.

Preferred Skills

• Knowledge of cloud platforms and services (e.g., AWS, Azure, Google Cloud).
• Experience with data governance and data quality frameworks.
• Familiarity with big data technologies (e.g., Hadoop, Spark) is a plus.

Experience

• Minimum of 5-7 years of relevant experience in data integration, with at least 2 years in a leadership role.

Environment

The work setting may vary; specifics regarding whether the role is remote, in-office, or hybrid are not provided.

Salary

As specific salary details are not included, this section has been omitted.

Growth Opportunities

Opportunities for career advancement may be available, though specific details are not provided.

Benefits

Details about benefits offered by the company are not specified and therefore have been omitted.