🔧 Lead Data Engineer

📍 Location: Remote or Hybrid | 🖥 Tech Stack: Python, Scala, Java, AWS, Snowflake, Kafka

Help us shape the future of data-driven innovation.

We're searching for a seasoned Lead Data Engineer to join our technology team and take charge of building next-generation data platforms. If you’re driven by solving complex problems and excited to work at the intersection of cloud, data, and scalability, this is the opportunity to make a tangible impact.

🚀 What You’ll Be Doing:

• Architect and build cloud-native data solutions to power analytics, real-time processing, and intelligent applications
• Work closely with product managers and engineering teams to design and deploy high-performance data infrastructure
• Develop data pipelines using distributed technologies such as Spark, Kafka, and EMR
• Manage and optimize databases including Redshift, Snowflake, MySQL, and NoSQL systems
• Lead and mentor other engineers, promote best practices in coding and DevOps, and drive adoption of modern tools
• Conduct rigorous testing and code reviews to ensure performance, scalability, and data integrity
• Stay current with emerging data engineering tools and advocate for innovation within the team

✅ You’ll Need:

• Bachelor’s degree in Computer Science, Engineering, or a related field
• 4+ years of hands-on experience building scalable applications and data infrastructure
• Solid expertise in cloud environments like AWS, Azure, or GCP
• Proven skills in languages such as Python, Java, Scala, and SQL
• Practical experience with large-scale data platforms and real-time data processing
• Familiarity with Agile methodologies and CI/CD pipelines

🌟 Bonus Points For:

• 7+ years of experience designing robust, production-grade systems
• Proficiency in Snowflake, Redshift, MongoDB, or Cassandra
• Experience with UNIX/Linux scripting, performance tuning, and workload optimization
• Background in financial tech, machine learning integration, or cross-cloud data architecture

Ready to lead from the front?

If you’re passionate about building systems that make data accessible, actionable, and impactful, we’d love to hear from you.