Responsibilities

• Lead and manage a team of data engineers in developing and optimizing data pipelines and infrastructure.
• Design and implement scalable data architecture that supports analytics and reporting needs.
• Collaborate with data scientists and analysts to understand data requirements and deliver actionable insights.
• Oversee the integration of various data sources and ensure data quality and accuracy.
• Mentor and guide team members in best practices for data engineering and analytics.
• Stay updated with the latest technologies and trends in data engineering and analytics.
• Participate in strategic planning and decision-making processes related to data initiatives.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or related field; Master’s degree preferred.
• 7+ years of experience in data engineering, with at least 3 years in a leadership role.
• Proficiency in programming languages such as Python, Java, or Scala.
• Experience with big data technologies (e.g., Hadoop, Spark) and databases (e.g., SQL, NoSQL).
• Strong understanding of data modeling, ETL processes, and data warehousing concepts.
• Excellent analytical and problem-solving skills, with attention to detail.
• Strong communication and interpersonal skills to effectively collaborate with cross-functional teams.

Benefits

• Competitive salary and performance-based bonuses.
• Comprehensive health, dental, and vision insurance plans.
• Flexible working hours and remote work options to promote work-life balance.
• Generous paid time off and holiday schedules.
• Opportunities for professional growth and development through training and workshops.
• A vibrant and inclusive company culture that values teamwork and innovation.
• Access to cutting-edge tools and technologies to enhance your work experience.