Data Engineer (priority)

VVV Tech30 is seeking a skilled and experienced Data Engineer to join our growing team. This role is crucial in ensuring the efficient and reliable processing of our payroll data. You will be responsible for designing, building, and maintaining data pipelines, transforming raw data into actionable insights to support payroll operations.The ideal candidate possesses a strong understanding of data warehousing principles, SQL, and ETL processes. You should be comfortable working independently as well as collaboratively within a team environment, and possess excellent problem-solving skills. This position requires a proactive individual who can identify areas for improvement in our data infrastructure and propose innovative solutions. The role involves working with large datasets and requires proficiency in handling and manipulating complex information to maintain data integrity and accuracy. We are looking for someone who is passionate about data, detail-oriented, and thrives in a fast-paced environment.A successful candidate will be able to demonstrate a strong work ethic, a commitment to meeting deadlines, and a willingness to learn and adapt to new technologies. The position offers an excellent opportunity to contribute significantly to a critical aspect of our business operations, allowing for professional growth and development within a dynamic and supportive company culture.This role involves hands-on work with our payroll systems, requiring a deep understanding of data structures and efficient data handling techniques. We expect a proactive approach to identifying potential issues and implementing preventative measures to ensure data accuracy and the timely processing of payroll information. You'll be instrumental in streamlining our payroll processes and improving overall efficiency.

Requirement

• Minimum 1 to 5 years of experience in data engineering.
• Proficiency in SQL and experience with ETL processes.
• Strong understanding of data warehousing principles.
• Experience working with large datasets.
• Excellent problem-solving and analytical skills.
• Experience with cloud platforms (e.g., AWS, Azure, GCP) is a plus.
• Job Type: Payroll
• Budget: Max ?600,000 per year
  

Role And Responsibility

• Design, develop, and maintain data pipelines for payroll data processing.
• Transform raw data into a structured format suitable for analysis and reporting.
• Ensure data quality and accuracy throughout the entire payroll process.
• Develop and implement data validation procedures.
• Collaborate with other teams to integrate payroll data with other systems.
  

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