Director of Data Engineering

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Written by AI from the job title and company, not by GrabaJobs - Job Search Automation AI, so some details may not match this job. The employer's own page has the real description.

Overview

The Director of Data Engineering at GrabaJobs - Job Search Automation AI will take a leadership role in designing and implementing robust data architectures and engineering solutions. This position requires a strategic thinker who can drive the development of data pipelines, ensure data integrity, and leverage data to assist in enhancing the efficiency of job search automation. The candidate will lead a team of data engineers, collaborate with cross-functional teams, and establish best practices for data management and governance, enabling the company to make data-informed decisions that enhance user experience and operational efficiency.

Job Responsibilities

• Lead the design and implementation of scalable data architectures in alignment with company goals.
• Oversee data pipeline development, data integration, and ETL processes to facilitate seamless access to data.
• Ensure data quality, integrity, and governance across all data platforms and management systems.
• Manage and mentor a team of data engineers, providing guidance, feedback, and career development opportunities.
• Collaborate with data scientists, product managers, and software engineers to support data-centric initiatives.
• Monitor and optimize data performance metrics and analytics capabilities to drive business initiatives.
• Establish data engineering best practices and frameworks to streamline workflows and enhance productivity.
• Evaluate and implement emerging technologies to improve data processing capabilities.

Qualifications

• A Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field.
• A minimum of 7 years of experience in data engineering, data architecture, or related roles.
• Proven experience managing teams and leading data engineering projects.
• Strong proficiency in programming languages such as Python, Scala, or Java.
• Extensive knowledge of data warehousing solutions, ETL tools, and big data technologies.
• Experience with cloud platforms such as AWS, Google Cloud, or Azure.
• Familiarity with SQL and NoSQL databases.
• Excellent problem-solving skills and the ability to work in a fast-paced environment.

Technologies & Tools

The Director of Data Engineering will work with a variety of modern technologies and tools, including data warehousing solutions like Snowflake or Redshift, ETL platforms such as Apache Airflow or Talend, and big data technologies including Apache Hadoop and Spark. Familiarity with cloud services (AWS, Google Cloud Platform, Azure) and containerization tools such as Docker or Kubernetes will also be integral to this role. A strong understanding of database management systems, both SQL and NoSQL (e.g., PostgreSQL, MongoDB), is essential for effective data processing and management.

Ideal Candidates

The ideal candidate for the Director of Data Engineering position will possess outstanding analytical skills and a visionary mindset to anticipate future data needs. They will be an effective communicator with the capacity to simplify complex data concepts for non-technical stakeholders. Moreover, strong leadership qualities, including the ability to motivate and develop team members, are essential. The candidate should be passionate about leveraging data to propel business growth and improve user experiences, demonstrating an unwavering commitment to excellence and innovation in their field.