Data Engineer

Role Description

We are looking for a skilled Data Engineer with strong experience in Python, PySpark, and cloud-based big data platforms to join our team. If you are passionate about building scalable, high-performing data systems and can join us immediately, we’d love to hear from you!📌 Location: Remote🕒 Availability: Immediate Joiners PreferredResponsibilities:Design, develop, and maintain scalable and distributed data pipelines.Work on high availability and fault-tolerant systems for large-scale data environments.Collaborate with cross-functional teams to build and optimize data-driven platforms.Leverage AWS services, Snowflake, or Databricks to deliver modern data solutions.Implement serverless architectures and Lambda-based workflows.Requirements:✅ 5+ years of software development experience.✅ Strong expertise in Python Development and PySpark.✅ 3+ years of experience working in large data environments.✅ Experience with Snowflake or Databricks.✅ Expertise in high availability & distributed systems.✅ Strong knowledge of data engineering principles and data-driven decisioning platforms.✅ Hands-on experience with a variety of AWS services.✅ Experience with serverless architectures and Lambdas.Nice to Have:Previous experience in Scala or Java.Knowledge of event-driven architectures (Kafka or similar).Exposure to Financial Services / FinTech domain.✨ Why Join Us?Exciting projects with modern data platforms.Collaborative and innovative work culture.Opportunity to make an immediate impact.📩 If you’re ready for your next challenge and can join immediately, apply now or share your resume at info@hacknotech.com.