11+ OFSAA Jobs in Hyderabad | OFSAA Job openings in Hyderabad

• 15+ years of Experience in OFSAA Financial Solution Data Foundation and OFSAA Regulatory reporting solutions
• Expert in enterprise solution architecture and design
• Strong understanding in the OFSAA Data Model, Dimension Management and Enterprise Data Warehouse Knowledge.
• Strong Understanding of OFSAA instrument balances reconciliation with General Ledger Summary Level balances
• Experience in defining and build the OFSAA data architecture and sourcing strategy to ensure data accuracy, integrity and quality.
• Understanding of Banking treasury products, US Fed regulatory etc.
• Strong understanding of data lineage. building
• Strong in OFSAA Data Management Tools Knowledge (F2T/T2T/PLT/SCD’s).
• Experience in Business rules configurations in OFSAA framework
• Strong Experience in deploying OFSAA platform (OFSAAI – OFSAA Infrastructure) and installation of OFSAA application - preferably OFSAA 8.x onwards.

Review Criteria:

• Strong Dremio / Lakehouse Data Architect profile
• 5+ years of experience in Data Architecture / Data Engineering, with minimum 3+ years hands-on in Dremio
• Strong expertise in SQL optimization, data modeling, query performance tuning, and designing analytical schemas for large-scale systems
• Deep experience with cloud object storage (S3 / ADLS / GCS) and file formats such as Parquet, Delta, Iceberg along with distributed query planning concepts
• Hands-on experience integrating data via APIs, JDBC, Delta/Parquet, object storage, and coordinating with data engineering pipelines (Airflow, DBT, Kafka, Spark, etc.)
• Proven experience designing and implementing lakehouse architecture including ingestion, curation, semantic modeling, reflections/caching optimization, and enabling governed analytics
• Strong understanding of data governance, lineage, RBAC-based access control, and enterprise security best practices
• Excellent communication skills with ability to work closely with BI, data science, and engineering teams; strong documentation discipline
• Candidates must come from enterprise data modernization, cloud-native, or analytics-driven companies

Preferred:

• Experience integrating Dremio with BI tools (Tableau, Power BI, Looker) or data catalogs (Collibra, Alation, Purview); familiarity with Snowflake, Databricks, or BigQuery environments

Role & Responsibilities:

You will be responsible for architecting, implementing, and optimizing Dremio-based data lakehouse environments integrated with cloud storage, BI, and data engineering ecosystems. The role requires a strong balance of architecture design, data modeling, query optimization, and governance enablement in large-scale analytical environments.

• Design and implement Dremio lakehouse architecture on cloud (AWS/Azure/Snowflake/Databricks ecosystem).
• Define data ingestion, curation, and semantic modeling strategies to support analytics and AI workloads.
• Optimize Dremio reflections, caching, and query performance for diverse data consumption patterns.
• Collaborate with data engineering teams to integrate data sources via APIs, JDBC, Delta/Parquet, and object storage layers (S3/ADLS).
• Establish best practices for data security, lineage, and access control aligned with enterprise governance policies.
• Support self-service analytics by enabling governed data products and semantic layers.
• Develop reusable design patterns, documentation, and standards for Dremio deployment, monitoring, and scaling.
• Work closely with BI and data science teams to ensure fast, reliable, and well-modeled access to enterprise data.

Ideal Candidate:

• Bachelor’s or Master’s in Computer Science, Information Systems, or related field.
• 5+ years in data architecture and engineering, with 3+ years in Dremio or modern lakehouse platforms.
• Strong expertise in SQL optimization, data modeling, and performance tuning within Dremio or similar query engines (Presto, Trino, Athena).
• Hands-on experience with cloud storage (S3, ADLS, GCS), Parquet/Delta/Iceberg formats, and distributed query planning.
• Knowledge of data integration tools and pipelines (Airflow, DBT, Kafka, Spark, etc.).
• Familiarity with enterprise data governance, metadata management, and role-based access control (RBAC).
• Excellent problem-solving, documentation, and stakeholder communication skills.

Preferred:

• Experience integrating Dremio with BI tools (Tableau, Power BI, Looker) and data catalogs (Collibra, Alation, Purview).
• Exposure to Snowflake, Databricks, or BigQuery environments.
• Experience in high-tech, manufacturing, or enterprise data modernization programs.

The DevOps Engineer will play a critical role in operationalizing artificial intelligence across Bell Techlogix client environments. This role focuses on building and supporting cloud infrastructure, CI/CD pipelines, and automation frameworks that power AI and machine learning workloads. The ideal candidate has experience supporting AI platforms such as Azure AI, Azure Machine Learning, Azure OpenAI, and ServiceNow or conversational AI platforms, and understands the operational requirements of production AI systems, including reliability, scalability, and security. 

Key Responsibilities 

•Design, build, and operate cloud infrastructure and platform services that support AI and machine learning workloads in production, SLA-driven managed services environments 

•Implement CI/CD and MLOps pipelines to enable automated training, testing, deployment, and rollback of AI and ML models 

•Develop and maintain Infrastructure as Code to provision AI-ready environments consistently across dev/test/prod 

•Support AI platform operations including monitoring model health, pipeline execution, compute utilization, and data dependencies 

•Partner with Machine Learning Engineers and Data Engineers to standardize deployment patterns for AI services and LLM-based solutions 

•Enable secure and scalable AI integrations using APIs, messaging, and event-driven architectures 

•Implement observability solutions for AI platforms, including logging, metrics, alerting, and drift detection integrations 

•Troubleshoot AI platform incidents, perform root cause analysis, and implement remediation to improve reliability and automation coverage 

•Apply security best practices for AI environments including secrets management, identity and access controls, network isolation, and policy enforcement 

•Support AI-driven automation use cases across platforms such as Microsoft Copilot, ServiceNow, and conversational AI tools 

•Collaborate with service desk, security, and architecture teams to continuously improve AI service delivery and operational maturity 

Required Qualifications 

•Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience 

•5+ years of experience in DevOps, cloud engineering, or platform operations, with exposure to AI or data workloads 

•Hands-on experience with Microsoft Azure, including compute, networking, storage, and monitoring services 

•Experience building CI/CD pipelines using Azure DevOps, GitHub Actions, or similar tools 

•Working knowledge of Infrastructure as Code (Terraform and/or Bicep/ARM) 

•Scripting experience using PowerShell and/or Python 

•Experience supporting production platforms with incident management, change control, and root cause analysis 

•Understanding of cloud security fundamentals and enterprise governance requirements 

Preferred Qualifications 

•Experience with Azure Machine Learning, Azure AI Services, Azure OpenAI, or MLOps frameworks 

•Exposure to containerization and orchestration technologies (Docker, Kubernetes, AKS) 

•Experience supporting data pipelines or feature stores used by machine learning systems 

•Familiarity with ServiceNow, AI-driven ITSM workflows, or automation platforms 

•Experience with observability tools 

•Knowledge of Responsible AI, data governance, and compliance considerations for AI systems 

•Relevant certifications (Microsoft Azure Administrator, Azure DevOps Engineer, Azure AI Engineer)

An Interior Design Executive is a sales professional who generates leads, qualifies customers, and closes sales for interior design services primarily through phone and digital communication. This role involves understanding customer requirements, providing company and product information, building rapport, and coordinating with sales and design teams. Key responsibilities include lead generation, client engagement, and CRM maintenance, often requiring experience in sales, especially within the interior design or related fields.

Core responsibilities

Lead generation: Proactively making outbound calls and responding to inbound inquiries to identify and qualify potential clients.

Client engagement: Acting as the first point of contact, understanding client needs, and providing detailed information about design services and pricing.

Sales support: Collaborating with interior designers and sales teams to develop solutions and present proposals to clients.

Customer relationship management: Maintaining detailed lead data in a CRM system and ensuring timely follow-ups.

Internal coordination: Working with other teams to address customer requests and provide feedback on marketing efforts.

Required qualifications

Experience: Previous experience in sales, particularly telesales or inside sales, is often required. Experience in the interior design, real estate, or modular furniture industries is preferred.

Skills: Strong communication and interpersonal skills, the ability to build rapport, and a track record of achieving sales targets are essential.

Technical proficiency: Experience with Microsoft Office Suite (Excel, Word, PowerPoint) and CRM software is common.

Other: Some roles may require knowledge of interior design trends and concepts, though this is often a plus rather than a strict requirement.

Job Summary:

We are seeking a highly skilled and experienced Customer Success Manager to build and lead our team of agents based in India. The Customer Success Manager will be responsible for building a high-performing team to ensure that our customers receive high-quality support for Monarch products over chat and phone. The primary goal of this role is to ensure high customer satisfaction and timely resolution of issues, while also empowering our customers to self-service their issues first.

Responsibilities:

• Staff and properly resource a 24/7 support organization that is available globally to meet Monarch customer needs.
• Set performance goals for the team and ensure that they are met or exceeded.
• Define and implement a scalable support model to accommodate growth and changing customer needs.
• Develop and maintain customer service procedures, policies, and standards to ensure consistency and quality of service.
• Continuously improve the support process, tools, and resources to ensure efficiency and effectiveness.
• Own the Key Performance Indicators (KPIs) for customer support and regularly report on performance against these metrics.
• Empower customers to self-service resolve their issues by providing them with the necessary resources and guidance.
• Train and coach agents on effective communication and problem-solving techniques to improve their performance.
• Build and maintain strong relationships with customers to ensure loyalty and retention.
• Collaborate with cross-functional teams, including Engineering, Product Management, Service, Delivery Operations, Manufacturing, and 3rd Party Dealers, to identify and resolve customer issues.
• Manage and maintain a positive and supportive team culture, encouraging collaboration and accountability.

Qualifications:

• Bachelor's degree in business, management, or a related field.
• Minimum of 5 years of experience in customer support or related fields.
• Experience building and managing a team of agents in a fast-paced environment.
• Excellent communication and interpersonal skills.
• Strong analytical skills with the ability to analyze data, identify trends, and develop insights.
• Proficient in using customer support tools such as Zendesk, Freshdesk, or similar.
• Ability to prioritize and manage multiple tasks in a fast-paced environment.
• Knowledge of Agriculture Products and Farming is a plus.
• Knowledge of the Monarch product line or similar technical field is a plus.
• Flexibility to work in different time zones.

Hi We are Looking foe Data Science AI Professional role for our KPHB, Hyderabad Branch Requirements:

• Min 6 months to 1 Year experience in Data Science AI

• Need to have proven Experience with Good GitHub profile and projects

• Need to good with Data Science & AI Concepts

• Need to be good with Python, ML, Stats, Deep Learning, NLP, OpenCV etc

• Good Communication and presentation skills

Our client is looking for a Senior/Lead Full Stack .Net Developer for their headquarter office which is located in San Francisco, California. Looking for top-notch developers who are passionate and well-versed with modern technologies like .Net Core, MVC, SQL, and JS frameworks.

This position gives you an opportunity to lead exciting projects, work directly with teams in the US and with super smart people that you can learn from, and contribute to their knowledge.

Requirement:

• 7-15 years of experience in software development.
• Hands-on design and coding are required.
• Expertise in React.JS.
• Good knowledge of database concepts and Microsoft SQL Server.
• Highly proficient in modern JavaScript, HTML, CSS, ReactJs, and in one or more libraries for state management (e.g. Redux)
• Solid foundation in computer science, with strong competencies in data structures, design patterns, concurrency, algorithms, and software design
• Research and evaluate new software, frameworks, and techniques to provide recommendations to the division.
• Design and develop robust and scalable software components.
• Strong analytical and troubleshooting skills.
• Bachelor's degree in Computer Science or a technical field.

Perks & Benefits:

• Friendly, talented, collaborative, and entrepreneurial team
• Competitive and comprehensive benefits and perks
• Generous holiday and PTO policies
• Training and development opportunities and allowance
• Fun and inclusive digital, and (in the future) in-person events
• Employee groups - DEI committee, fun committee, wellness group, and more
• Flexible remote work

About company

The company is the industry-leading collection of online destinations (including Astrology.com, Horoscope.com, Keen, and PsychicCenter) providing spiritual guidance on love, relationships, career, health, and life overall. They are passionate about connecting people with the world's best advisors (including psychics, tarot card readers, life coaches, and more) and content to empower everyone to live happier lives.

A team of over 100 employees is powered by their diverse perspectives and company core values:

• They are humble. They believe the best result is achieved by leveraging others perspectives
• They think like owners. They make decisions that optimize for the greater good of the organization
• They challenge limiting beliefs. They are at their best when they identify and shatter the status quo expectations.

The company is an equal opportunity workplace and is an affirmative action employer. They are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status.

1. Strong fundamentals OOPS concepts, Exception Handling, Coding Standards, Logging

2. Creating custom, general use modules and components which extend the elements and modules of core Angular. 

3. Creating configuration, build, and test scripts for Continuous Integration environments

4. Communicating with external web services and processing data

5. Experience with offline storage threading and performance tuning

6. Review code and maintain the code quality and suggest best practices

7. Knowledge and experience on data science and programming languages

8. Demonstrable abilities to optimize code. Strong analytical skills for effective problem solving