Responsibilities

• Design, construct, and maintain scalable data pipelines to support analytics and business intelligence initiatives.
• Collaborate with cross-functional teams to gather requirements and deliver data-driven solutions.
• Optimize and troubleshoot existing data processing systems to improve performance and efficiency.
• Implement best practices for data governance, data quality, and security.
• Provide insights and recommendations based on data analysis to inform business decisions.
• Stay updated with industry trends and emerging technologies to ensure the company remains competitive.
• Mentor junior data engineers and support their professional development.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 5+ years of experience in data engineering, ETL processes, and data warehousing.
• Proficiency with programming languages such as Python, Java, or Scala.
• Strong experience with SQL and NoSQL databases.
• Familiarity with data pipeline tools like Apache Spark, Kafka, or Airflow.
• Experience in cloud platforms such as AWS, Azure, or Google Cloud.
• Excellent problem-solving skills and attention to detail.
• Strong communication skills, able to work collaboratively with technical and non-technical stakeholders.

Benefits

• Competitive compensation tailored to your skills and experience.
• No client hunting or rate negotiations; focus on your work while we handle the business side.
• Flexible working hours; choose a schedule that suits your lifestyle.
• Work directly with clients who have technical backgrounds, enhancing communication and collaboration.
• No micromanagement; we respect your expertise and independence.
• Access to a vibrant community of developers from over 75 countries.
• Continuous support throughout your projects and professional journey.