Senior Data Engineer

📋 Description

• Hybrid role based in Hyderabad with 40% travel to the office per month
• Develop and maintain batch data processing pipelines using Scala and Apache Spark
• Optimize Spark workloads for performance and scalability in AWS
• Partner with data engineers and analysts to deliver high-quality data solutions
• Ensure data integrity and reliability across systems
• Participate in code reviews, technical design, and Agile development

🎯 Requirements

• 3-6 years in software development; at least 2 years with Scala
• Clean, scalable code using SOLID principles and design patterns
• Functional programming concepts and distributed computing
• DevOps / IaC tools (Terraform, CI/CD, Git, Jenkins)
• Hands-on Apache Spark for batch processing
• Experience with AWS services (S3, Glue, Lambda, Step Functions, Batch, CloudWatch)

🎁 Benefits

• Hybrid remote/in-office role
• Global company benefits and recognition programs
• DEI, work-life balance, development opportunities, wellness programs