Key Responsibilities

- Develop scalable, high performance backend applications and Distributed data pipelines using Python and PySpark
- Design and optimize complex SQL queries, stored procedures, and data models on MS SQL Server
- Leverage the Hadoop ecosystem (Hive, Hue, Impala, HBase) and Elasticsearch for high-volume data processing and search
- Implement real-time event processing using Apache Kafka
- Automate environment management and infrastructure tasks using PowerShell scripting
- Collaborate with cross-functional teams using Jira for Agile planning and Bitbucket for version control and code collaboration
- Develop, integrate, and maintain RESTful APIs within distributed systems architecture
- Participate in code reviews, contribute to technical documentation, and mentor junior engineers
- Optionally contribute to:
- Frontend development using Angular or React
- Enhancing legacy or low-code applications using VBA, Appian, or BRMS tools like Drools
- Cloud-native deployments and data pipelines on AWS or OCI (Oracle Cloud Infrastructure)

Mandatory Skills

Backend & Data Engineering

- Proficiency in Python and PySpark for backend services and data pipeline development
- Hands-on experience with Hadoop ecosystem tools: Hive, Hue, Impala, HBase
- Strong expertise in MS SQL Server – writing advanced queries, designing schemas, and implementing stored procedures
- Knowledge of Elasticsearch for distributed search and analytics
- Working knowledge of Apache Kafka for event-driven and real-time processing
- Scripting experience with PowerShell for task automation and workplace configuration

Version Control & Agile Practices





- Experience using Bitbucket for source control
- Working in Agile environments using Jira for sprint planning, issue tracking, and backlog management

Software Engineering Fundamentals

- Designing and integrating RESTful APIs
- Building and maintaining distributed systems
- Active participation in code reviews and technical documentation
- Familiarity with Agile/Scrum methodologies

Optional / Preferred Skills

- Exposure to Angular or React for UI development
- Experience with Appian, VBA, or Drools (BRMS) for automation and business logic management
- Understanding of cloud platforms such as AWS or OCI
- Experience with cloud-native deployments and cloud-based data workflows
- Advanced backend development in Java and Spring Boot for microservices (a plus)

Experience & Qualifications

- Bachelor's or Master's degree in Computer Science, Engineering, or a related field
- 7+ years of software development experience, with a focus on backend systems and data engineering
- Demonstrated success in delivering robust and scalable backend solutions
- Experience working with large-scale data platforms (e.g., Cloudera Hadoop)
- Solid understanding of software engineering principles, performance optimization, and system integration

Core Competencies

- Strong problem-solving and analytical skills
- Excellent communication and collaboration in cross-functional teams
- Ability to work independently and manage deliverables end-to-end
- Adaptability and continuous learning in dynamic environments

Skills: Analytical Skills, Software Development, System Integration, Performance Optimization

Experience: 6.00-10.00 Years

📌 Senior Software Engineer - Python (Hyderabad)
🏢 Cotiviti
📍 Hyderabad