Title: Databricks Platform Administrator Location: Hyderabad Duration: Full Time (C2H) Experience: 7-8 Years Environment: AWS/Azure Duration: Databricks Platform Administrator to manage and support the day-to-day operations, configuration, and performance of the Databricks Lakehouse Platform. The ideal candidate will be responsible for user provisioning, workspace and cluster management, job scheduling, monitoring, and ensuring platform stability and security. This role requires hands-on experience with Databricks on AWS or Azure, integration with data pipelines, and managing platform-level configurations, libraries, and access controls (Unity Catalog, SCIM, IAM, etc.). The candidate should be familiar with DevOps practices, automation scripting, and collaboration with data engineering and infrastructure teams to support enterprise data initiatives.
Title: Platform Support Analyst Location: Hyderabad Duration: Full Time (C2H) Experience: 7-8 Years Mandatory Skills: Informatica IDQ + MDM / AWS Cloud Admin / DBA Duration: Platform Support Analyst with experience in Informatica IDQ and MDM, AWS Cloud Administration, and database administration (DBA). This role will be responsible for maintaining the health, performance, and availability of the data platform infrastructure. The candidate will manage platform upgrades, patching, job monitoring, user access, and troubleshooting across Informatica environments, while also supporting cloud infrastructure in AWS, including EC2, S3, IAM, and networking components. Strong DBA skills for managing databases (Oracle, SQL Server, etc.) are essential for performance tuning, backup/recovery, and query optimization. The role requires a proactive mindset, strong problem-solving skills, and the ability to coordinate with cross-functional technical teams.
We are seeking an experienced FTA Developer with at least 7 years of proven expertise to join our dynamic technology team in Bangalore. The ideal candidate will play a key role in designing, developing, and maintaining Fault Tree Analysis (FTA) tools and frameworks that support risk assessment and reliability engineering . This position requires a hands-on developer with a strong foundation in software engineering and a deep understanding of fault tree methodologies . You will collaborate with multidisciplinary teams to deliver high-performance, AI-enhanced analytical solutions. Key Responsibilities: Design, develop, and enhance Fault Tree Analysis (FTA) tools and applications. Collaborate with reliability engineers, safety analysts, and system architects to gather requirements and deliver effective solutions. Implement and optimize algorithms for fault tree construction, minimal cut sets, and probabilistic risk assessment . Integrate AI/ML capabilities , leveraging tools like Copilot , to automate and improve fault tree generation and analysis. Maintain code quality through testing, reviews, and adherence to software engineering best practices. Diagnose and resolve software defects and performance issues . Prepare detailed technical documentation, design specs, and user manuals . Mentor junior developers and foster a culture of knowledge sharing. Stay updated on emerging trends in fault tree analysis, reliability engineering, and AI-assisted software development . Required Qualifications & Skills: Bachelors degree in Computer Science, Engineering, or a related field (Mandatory). Minimum 7 years of professional experience in software development, with a focus on Fault Tree Analysis (FTA) tools or related domains. Proficiency in programming languages such as Python, C++, or Java . Hands-on experience with Copilot or similar AI-assisted coding tools . Strong understanding of reliability engineering, safety standards, and risk assessment methodologies . Expertise in algorithm design for fault trees, minimal cut sets, and probabilistic analysis. Sound knowledge of data structures, OOP principles, and software design patterns . Experience working in Agile development environments . Excellent problem-solving, analytical, and communication skills . Preferred Skills: Familiarity with reliability analysis techniques like FMEA, RBD, or ETA . Experience with cloud platforms (AWS, Azure, or GCP). Proficiency in version control tools such as Git. Exposure to CI/CD pipelines and DevOps workflows. Prior experience mentoring or leading development teams.