This role is ideal for a qualified CA with 2-3 years of post-qualification experience who is eager to contribute to a dynamic and growing organization. The candidate will be involved in various aspects of financial management, ensuring accuracy, compliance, and providing valuable support to the finance department.This role is ideal for a qualified CA with 2-3 years of post-qualification experience who is eager to contribute to a dynamic and growing organization. The candidate will be involved in various aspects of financial management, ensuring accuracy, compliance, and providing valuable support to the finance department. Roles and Responsibilities Financial Reporting and Analysis: Prepare and analyze monthly, quarterly, and annual financial statements in accordance with applicable accounting standards Conduct variance analysis to identify trends, highlight key performance indicators (KPIs), and provide insights to management. Assist in the development and implementation of financial reporting systems and processes. Budgeting and Forecasting: Support the annual budgeting process, including data collection, analysis, and consolidation. Prepare periodic forecasts and monitor performance against budgets, identifying and reporting on variances. Assist in developing and maintaining financial models to support business planning and decision-making. Tax Compliance: Ensure compliance with all applicable tax laws and regulations, including direct and indirect taxes (e.g., GST). Prepare and file tax returns, ensuring accuracy and timeliness. Assist in tax planning and optimization strategies. Audit and Internal Controls: Coordinate with internal and external auditors, providing necessary documentation and support. Assist in the implementation and maintenance of internal control procedures to safeguard company assets and ensure the integrity of financial information. Identify and recommend improvements to internal controls and processes. Accounting Operations: Oversee and manage day-to-day accounting operations, including accounts payable, accounts receivable, and general ledger activities. Ensure accurate and timely processing of financial transactions. Reconcile bank statements and other financial accounts. Process Improvement: Identify opportunities to streamline and improve accounting processes and systems. Participate in the implementation of new accounting software or systems. Contribute to the development of financial policies and procedures. Other tasks: Liaise with other departments. Assist in special projects and ad-hoc financial analysis as required.

Cloud Expert: Infra

Minimum 10 - 12 years of experience in handling complex large transformation projects Experience in Client Relationship Management – key client stakeholders, understanding their requirements and Outsourcing ability to meet them Experience of leading large teams located across multiple cities in India and across the world. Experience of Driving Digital Transformation across a portfolio of accounts Demonstrates a breadth and depth of operational service delivery management expertise. Preferred: Ability to create technical designs based on functional designs, including, mockups, process and data flow diagrams, etc Ability to gather critical information from meetings with various stakeholders and produce useful reports. Ability to conduct market research for product development Knowledge of cloud platforms (Fundamentals of GCP/AWS/Azure) GDPR, HIPAA/GXP compliance, ERP and SAP application Roles and Responsibilities Lead the delivery of multi-functional,Large -scale Cloud transformation projects Conduct a thorough review of all components in the Project/Program Plan: scope, deliverables, time frame, and cost Stakeholder management ( Internal and external ) Manage the risks, issues, scope changes, unplanned events and other actions of the project and regularly track them to meet the expected outcomes and timelines, building mitigation plans as the program evolves. Work closely with Developers, BA, Quality, Engineering, and cross-functional team to resolve issues that arise during design, implementation and in post-production. Work with external and internal partners on integration and product expansion opportunities.

Job Title: Cloud Leader: Java Company Name: Niveus Job Description: Niveus is seeking an experienced Cloud Leader specialized in Java to join our dynamic team. The ideal candidate will be responsible for leading cloud-based software development projects, guiding the team in leveraging Java technologies to design and implement scalable cloud solutions. Responsibilities: - Lead the architecture and development of cloud applications using Java, ensuring high performance and responsiveness. - Collaborate with cross-functional teams to define project requirements and deliver innovative solutions. - Mentor and support team members in best practices related to cloud technologies and Java development. - Oversee the deployment, monitoring, and maintenance of cloud applications to ensure reliability and scalability. - Stay updated on industry trends and emerging technologies to continuously improve cloud practices within the organization. Qualifications: - Bachelor's degree in Computer Science, Information Technology, or a related field. - Proven experience in cloud computing and Java application development. - Strong understanding of cloud platforms such as AWS, Azure, or Google Cloud. - Excellent leadership, communication, and team collaboration skills. - Familiarity with DevOps practices and tools is a plus. If you are a visionary leader with a passion for cloud technologies and Java, we encourage you to apply and join Niveus in shaping the future of cloud solutions.

Cloud Leader (Jr. Data Architect) 7+ yrs of IT experience Should have worked on any two Structural (SQL/Oracle/Postgres) and one NoSQL Database Should be able to work with the Presales team, proposing the best solution/architecture Should have design experience on BQ/Redshift/Synapse Manage end-to-end product life cycle, from proposal to delivery, and regularly check with delivery on architecture improvement Should be aware of security protocols for in-transit data, encryption/decryption of PII data Good understanding of analytics tools for effective analysis of data Should have been part of the production deployment team and the Production Support team. Experience with Big Data tools- Hadoop, Spark, Apache Beam, Kafka etc. Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc. Experience in ETL and Data Warehousing. Experience and firm understanding of relational and non-relational databases like MySQL, MS SQL Server, Postgres, MongoDB, Cassandra, etc. Experience with cloud platforms like AWS, GCP, and Azure. Experience with workflow management using tools like Apache Airflow. Preferred: Need to be Aware of Design Best Practices for OLTP and OLAP Systems Should be part of the team designing the DB and pipeline Should be able to propose the right architecture, Data Warehouse/Datamesh approaches Should be aware of data sharing and multi-cloud implementation Should have exposure to Load testing methodologies, Debugging pipelines, and Delta load handling Worked on heterogeneous migration projects Experience on multiple Cloud platforms Should have exposure to Load testing methodologies, Debugging pipelines, and Delta load handling Roles and Responsibilities Develop high-performance and scalable solutions using GCP that extract, transform, and load big data. Designing and building production-grade data solutions from ingestion to consumption using Java / Python Design and optimize data models on the GCP cloud using GCP data stores such as BigQuery Optimizing data pipelines for performance and cost for large-scale data lakes. Writing complex, highly optimized queries across large data sets and creating data processing layers. Closely interact with Data Engineers to identify the right tools to deliver product features by performing POC Collaborative team player that interacts with business, BAs and other Data/ML engineers Research new use cases for existing data.

We are looking for an ASP.NET developer to build software using languages and technologies of the ASP.NET framework. You will create applications from scratch, configure existing systems and provide user support. In this role, you should be able to write functional code with a sharp eye for spotting defects. You should be a team player and an excellent communicator. If you are also passionate about the .NET framework and software design/architecture, we’d like to meet you. Responsibilities Participate in requirements analysis Write clean, scalable code using .NET programming languages Remain up to date with the terminology, concepts and best practices for coding mobile apps Develop technical interfaces, specifications, and architecture Create and test software prototypes Develop client displays and user interfaces Requirements: Familiarity with the ASP.NET framework, SQL Server and design/architectural patterns (e.g. Model-View-Controller (MVC) 7-10 years of development experience using C# .NET Knowledge of at least one of the .NET languages (e.g. C#, Visual Basic .NET) and HTML5/CSS3 Familiarity with architecture styles/APIs (REST, RPC) Understanding of Agile methodologies Strong attention to detail Excellent troubleshooting and communication skills Knowledge of REST and RPC APIs Able to work well in a team setting

Job Description Should have at least 6+ years of experience as a Scrum Master and handled at least 2 projects in the data domain where Scrum was used. Should be well versed with the Agile Culture and thorough understanding of the Scrum framework Should be able to create self-organizing teams, Servant Leader mindset. Should be able discuss with the clients and write user stories in the absence of a Product Owner, or guide the PO if the team has one. Should be experienced in tools like JIRA, Redmine, Trello Preferred: Should have CSM certification Should have knowledge of different Agile Frameworks. Google cloud certifications Should be able to create self-organizing teams, Servant Leader mindset. Should have worked as a Developer or QA for at least 2 years. Exposure to Cloud Technologies is an added advantage. Roles & Responsibilities Lead the delivery of multi-functional,Mid-scale Cloud transformation projects Conduct a thorough review of all components in the Project/Program Plan: scope, deliverables, time frame, and cost Stakeholder management ( Internal and external ) Manage the risks, issues, scope changes, unplanned events and other actions of the project and regularly track them to meet the expected outcomes and timelines, building mitigation plans as the program evolves. Work closely with Developers, BA, Quality, Engineering, and cross-functional team to resolve issues that arise during design, implementation and in post-production. Work with external and internal partners on integration and product expansion opportunities

SRE Lead Role Description: We are seeking an experienced SRE Strategist to lead the reliability and operational excellence agenda for our Enterprise Data Platforms spanning GCP cloud-native systems. This strategic leadership role will help instill Google’s SRE principles across diverse data engineering teams, uplift our platform reliability posture, and spearhead the creation of a Centre-of-Excellence (CoE) for SRE. The ideal candidate will possess a deep understanding of modern SRE practices, demonstrate a proven ability to scale SRE capabilities in large enterprises, and evangelise a data-driven approach to resilience engineering. Key Responsibilities: Define and drive SRE strategy for enterprise data platforms on GCP, aligning with business goals and reliability needs. Act as a trusted advisor to platform teams, embedding SRE mindset, best practices, and golden signals into their SDLC and operational processes. Set up and lead a Site Reliability Engineering CoE, delivering reusable tools, runbooks, blueprints, and platform accelerators to scale SRE adoption across the organisation. Partner with product and platform owners to prioritise and structure SRE backlogs, formulate roadmaps, and help teams move from reactive ops to proactive reliability engineering. Define and track SLIs, SLOs, and error budgets across critical data services, enabling data-driven decision making around availability and performance. Drive incident response maturity, including chaos engineering, incident retrospectives, and blameless postmortems. Foster a reliability culture through coaching, workshops, and cross-functional forums. Build strategic relationships across engineering, data governance, security, and architecture teams to ensure reliability is baked in, not bolted on. Required Qualifications: Bachelor's or Master’s degree in Computer Science, Engineering, or related discipline. 3+ years in SRE leadership or SRE strategy roles. Strong familiarity with Google SRE principles and practical experience applying them in complex enterprise settings. Proven track record in establishing and scaling SRE teams. Experience with GCP services like Cloud Build, GCS, CloudSQL, Cloud Functions, and GCP logging & monitoring. Deep experience with observability stacks such as Prometheus, Grafana, Splunk, and GCP native solutions. Skilled in Infrastructure as Code using tools like Terraform, and working knowledge of automation in CI/CD environments. Key Competencies & Skills: Strong leadership, influence without authority, and mentoring capabilities. Hands-on scripting and automation skills in Python, with secondary languages like Go or Java a plus. Familiarity with incident and problem management frameworks in enterprise environments. Ability to define and execute a platform-wide reliability roadmap in alignment with architectural and business objectives. Nice to Have: Exposure to secrets management tools (e.g., HashiCorp Vault). Experience with tracing and APM tools like Google Cloud Trace or Honeycomb. Background in data governance, data pipelines, and security standards for data products.

Extensive knowledge on GCP or AWS or Azure. Excellent analytical and problem-solving skills 7+ years of industry software engineering experience Good knowledge of DEVOPS, building CICD Pipelines for application,implementing APIGW(APIGEE Preferred) Experience in working with Windows and Linux OS Good oral and written communication skills Great team player and able to work efficiently with minimal supervision Preferred: Experience in IaC with terraform would be an added advantage Proficiency in computer technology and programming languages Strong knowledge of Active Directory/Azure AD, DNS, DHCP, Citrix/RDS, Print services and File Server In-depth understanding of Containers and Kubernetes. Experience in Agile development would be good Knowledge of cloud-based software architecture would be good Roles and Responsibilities Cloud exposure to AWS or Azure or GCP (Preferred). Experience in managing,deploying and maintaining Infrastructure in cloud and on-premise. Exposure to Windows and Linux OS. Designing and implementing solutions on Cloud with expertise in building network design flows, application flow, implementing best practices and understanding all components of solution architecture. Experience in managing virtual workload on premise - VMWARE (Preferred), HyperV or equivalent. Knowledge of Containers and Kubernetes. Exposure to DEVOPS, building CICD Pipelines for application, implementing APIGW(APIGEE Preferred). Exposure to Active Directory/Azure AD, DNS, DHCP, Citrix/RDS, Print services and File Server. Experience in building identity management and security assessment for solutions. Experience in IaC with terraform. Mentoring the team and building their skills.

Extensive knowledge on Building CI/ CD pipeline 3+ years of industry software engineering experience Extensive experience in working with Strong Linux system administration background High proficiency in computer technology and programming languages Good knowledge of AWS, GCP, or Azure Good oral and written communication skills Great team player and able to work efficiently with minimal supervision Preferred: Experience in Ansible, Chef, Puppet, or similar would be an added advantage Knowledge of the AWS, GCP, or Azure Experience in Managing production infrastructure with Terraform, Cloud Formation,would be good Knowledge of cloud based software architecture would be good Roles and Responsibilities Implement and own the CI. Manage CD tooling. Implement and maintain monitoring and alerting. Build and maintain highly available production systems. Creation and enhancement of Continuous Deployment automation built on Docker and Kubernetes. Developing automation to ensure security across a geographically dispersed hosting environment. Creation and enhancement of dynamic monitoring and alerting solutions using industry leading services.

6 months to 2 yrs of IT experience Bachelor's degree in Computer Science, Statistics, Math, Analytics, related technical field. High proficiency in computer technology and programming languages Strong knowledge of AWS, GCP, or Azure In-depth understanding of Terraform, CloudFormation Excellent analytical and problem-solving skills Good oral and written communication skills Great team player and able to work efficiently with minimal supervision Preferred: Extensive knowledge on Ansible, Chef, Puppet, or similar is an added advantage Proficiency in computer technology and programming languages Strong knowledge of AWS, GCP, or Azure Roles and Responsibilities Implement and own the CI and Manage CD tooling. Implement and maintain monitoring and alerting. Build and maintain highly available production systems. Creation and enhancement of Continuous Deployment automation built on Docker and Kubernetes. Developing automation to ensure security across a geographically dispersed hosting environment. Creation and enhancement of dynamic monitoring and alerting solutions using industry leading services. Analytical and Technical Skills. Exposure to Windows and Linux Server OS. Basic understanding of Troubleshooting OS and hardware related issues. Basic knowledge of cloud computing and its usage. Understanding of building blocks of cloud computing. Understanding of virtualization, virtual machines, networks and storage. Basic Knowledge of Containers and Kubernetes. Basic understanding of IaC with terraform. Knowledge of DEVOPS with information on Microservices, CICD Build and Release pipelines

6 months-3 yrs of IT experience Knowledge on Bigquery, SQL Or similar tools Aware of ETL and Data warehouse concepts Good oral and written communication skills Great team player and able to work efficiently with minimal supervision Should have good knowledge of Java or python to conduct data cleansing Preferred: Good communication and problem-solving skills Experience on Spring Boot would be an added advantage Apache Beam developer with Google Cloud BigTable and Google BigQuery is desirable Experience in Google Cloud Platform (GCP) Skills in writing batch and stream processing jobs using Apache Beam Framework (Dataflow) Knowledge of Microservices, Pub/Sub, Cloud Run, Cloud Function Roles and Responsibilities Develop high performance and scalable solutions using GCP that extract, transform, and load big data. Designing and building production-grade data solutions from ingestion to consumption using Java / Python Design and optimize data models on GCP cloud using GCP data stores such as BigQuery Optimizing data pipelines for performance and cost for large scale data lakes. Writing complex, highly-optimized queries across large data sets and to create data processing layers. Closely interact with Data Engineers to identify right tools to deliver product features by performing POC Collaborative team player that interacts with business, BAs and other Data/ML engineers Research new use cases for existing data.

Job Description 5+ yrs of IT experience Good understanding of analytics tools for effective analysis of data Should be able to lead teams Should have been part of the production deployment team, Production Support team Experience with Big Data tools- Hadoop, Spark, Apache Beam, Kafka, etc. Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc. Experience with any DW tools like BQ, Redshift, Synapse, or Snowflake Experience in ETL and Data Warehousing. Experience and firm understanding of relational and non-relational databases like MySQL, MS SQL Server, Postgres, MongoDB, Cassandra, etc. Experience with cloud platforms like AWS, GCP and Azure. Experience with workflow management using tools like Apache Airflow. Roles & Responsibilities Develop high-performance and scalable solutions using GCP that extract, transform, and load big data. Designing and building production-grade data solutions from ingestion to consumption using Java / Python Design and optimize data models on the GCP cloud using GCP data stores such as BigQuery Should be able to handle the deployment process Optimizing data pipelines for performance and cost for large-scale data lakes. Writing complex, highly optimized queries across large data sets and creating data processing layers. Closely interact with Data Engineers to identify the right tools to deliver product features by performing POC Collaborative team player that interacts with business, BAs, and other Data/ML engineers Research new use cases for existing data. Preferred: Need to be Aware of Design Best practices for OLTP and OLAP Systems Should be part of team designing the DB and pipeline Should have exposure to Load testing methodologies, Debugging pipelines and Delta load handling Worked on heterogeneous migration projects

Job Summary We are seeking an experienced and motivated Data Engineer to join our growing team, preferably with experience in the Banking, Financial Services, and Insurance (BFSI) sector. The ideal candidate will have a strong background in designing, building, and maintaining robust and scalable data infrastructure. You will play a crucial role in developing our data ecosystem, ensuring data quality, and empowering data-driven decisions across the organization. This role requires hands-on experience with the Google Cloud Platform (GCP) and a passion for working with cutting-edge data technologies. Responsibilities Design and Develop End-to-End Data Engineering Pipelines: Build, and maintain scalable and reliable data pipelines to ingest, process, and transform large volumes of structured and unstructured data from various sources. Implement Data Quality and Governance: Establish and enforce processes for data validation, transformation, auditing, and reconciliation to ensure data accuracy, completeness, and consistency. Build and Maintain Data Storage Solutions: Design, implement, and manage data vault and data mart to support business intelligence, analytics, and reporting requirements. Orchestrate and Automate Workflows: Utilize workflow management tools to schedule, monitor, and automate complex data workflows and ETL processes. Optimize Data Infrastructure: Continuously evaluate and improve the performance, reliability, and cost-effectiveness of our data infrastructure and pipelines. Collaborate with Stakeholders: Work closely with data analysts, data scientists, and business stakeholders to understand their data needs and deliver effective data solutions. Documentation: Create and maintain comprehensive documentation for data pipelines, processes, and architectures. Key Skills Python: Proficient in Python for data engineering tasks, including scripting, automation, and data manipulation. PySpark: Strong experience with PySpark for large-scale data processing and analytics. SQL: Expertise in writing complex SQL queries for data extraction, transformation, and analysis. Tech Stack (Must Have) Google Cloud Platform (GCP): Dataproc: For managing and running Apache Spark and Hadoop clusters. Composer (Airflow): For creating, scheduling, and monitoring data workflows. Cloud Functions: For event-driven serverless data processing. Cloud Run: For deploying and scaling containerized data applications. Cloud SQL: For managing relational databases. BigQuery: For data warehousing, analytics, and large-scale SQL queries. Qualifications Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field. 3+ years of proven experience in a Data Engineer role. Demonstrable experience with the specified "must-have" tech stack. Strong problem-solving skills and the ability to work independently and as part of a team. Excellent communication and interpersonal skills. Good to Have Experience in the BFSI (Banking, Financial Services, and Insurance) domain. Apache NiFi: Experience with data flow automation and management. Qlik: Familiarity with business intelligence and data visualization tools. AWS: Knowledge of Amazon Web Services data services. DevOps and FinOps: Understanding of DevOps principles and practices (CI/CD, IaC) and cloud financial management (FinOps) to optimize cloud spending.

Minimum 10 - 12 years of experience in handling complex large transformation projects Experience in Client Relationship Management – key client stakeholders, understanding their requirements and Outsourcing ability to meet them Experience of leading large teams located across multiple cities in India and across the world. Experience of Driving Digital Transformation across a portfolio of accounts Demonstrates a breadth and depth of operational service delivery management expertise. Preferred: Ability to create technical designs based on functional designs, including, mockups, process and data flow diagrams, etc Ability to gather critical information from meetings with various stakeholders and produce useful reports. Ability to conduct market research for product development Knowledge of cloud platforms (Fundamentals of GCP/AWS/Azure) GDPR, HIPAA/GXP compliance, ERP and SAP application Role Lead the delivery of multi-functional, large-scale Cloud transformation projects Conduct a thorough review of all components in the Project/Program Plan: scope, deliverables, time frame, and cost Stakeholder management ( Internal and external ) Manage the risks, issues, scope changes, unplanned events and other actions of the project and regularly track them to meet the expected outcomes and timelines, building mitigation plans as the program evolves. Work closely with Developers, BA, Quality, Engineering, and cross-functional team to resolve issues that arise during design, implementation and in post-production. Work with external and internal partners on integration and product expansion opportunities.

7 - 12 years of industry software engineering experience Application Developer with a high level of technical expertise, combined with excellent planning, coordination and communication skills, and the ability to work on teams. Practitioners must have experience with relevant development tools and specific application and system architecture, in addition to a strong understanding of object-oriented design. Preferred: Proficient in building cloud-native application development using latest technologies like Java, React, Node, etc and understanding of Kubernetes, Docker, DevOps practices is expected Ability to lead App development projects through the complete development lifecycle. Roles and Responsibilities Architect, design, and develop scalable, resilient, and cloud-native applications. Designing major aspects of the architecture of an application, including components such as user interface, middleware and infrastructure Providing technical leadership to the application development team, performing design and code reviews. Ensuring that uniform enterprise-wide application design standards are maintained Collaborating with other stakeholders to ensure the architecture is aligned with business requirements Execute all projects in compliance with company development guidelines. Enforces sound development practices and ensures the quality and timely delivery of applications. Act as a technical advisor to application development teams to plan, implement, and support new and existing applications. Comfortable working with an agile product development environment, building from scratch and continuously improving it. Adhere to all applicable requirements, policies and procedures specified by the organization pertaining to quality and information security.