Software Engineer, Big Data

Overview

Contribute to research, feature design, and implementation of enterprise data security products and data platform and cloud capabilities in a fast-paced Agile environment, from concept to release.

What you'll do

• Design, build, and maintain new and existing products and features that strengthen Protegrity's enterprise data security platform.
• Deliver well-engineered, production-quality software by independently applying the team's development standards, design patterns, frameworks, and tools.
• Participate in Agile practices as both an individual contributor and a team player.
• Grow expertise in data security and the product's technical environment, including operating systems, cloud technologies, container orchestration, and native programming languages.
• Review the work of peers and junior engineers to raise code quality while contributing independently.
• Collaborate within and across teams to resolve technical requirements and product module dependencies, communicating clearly.

What you'll need

• 3–7 years of hands-on software engineering experience, preferably in data platforms, cloud platforms, distributed systems, or data security.
• A degree in Computer Science or a related field, or equivalent practical experience.
• Knowledge of one or more modern, scalable cloud data platforms, such as Databricks, Amazon EMR, Cloudera Data Platform, or Microsoft Fabric.
• Knowledge of one or more large-scale data processing technologies, query engines, and table or storage formats, such as Apache Spark, Hive, Trino, Apache Iceberg, Delta Lake, or Parquet.
• Strong programming experience in Java or Python, with the ability to design, build, debug, and profile production-quality large-scale data and cloud software, and experience with Linux and shell scripting.
• Practical experience using AI-assisted development tools for code analysis, debugging, test generation, documentation, and design exploration while ensuring secure, reliable, production-quality outcomes.
• Hands-on experience with one or more cloud platforms, such as AWS, Azure, or GCP, and an understanding of containerised platforms such as Kubernetes.
• Excellent verbal and written communication skills, with the ability to explain technical content clearly through documentation and presentations and to collaborate effectively with teammates.

Nice to have

• Knowledge of setting up and operating distributed data clusters in the cloud, such as Spark on Kubernetes or Hadoop/CDP, including networking and IAM concepts.
• Knowledge of performance tuning of large-scale data workloads.
• Understanding of software security requirements and standards, such as NIST, OWASP, and PCI DSS, and knowledge of cryptography and cryptographic algorithms.
• Experience with CI/CD pipelines, automated testing, code quality tools, and release processes, within Agile development and the software development life cycle (SDLC).

Details

• Location: Navi Mumbai.
• Successful candidates must consent to and complete a background investigation, which may include, subject to local laws, verification of extended education and additional criminal and civil checks.