urpose: To support the Legal & Compliance team in managing legal advisory, corporate governance, and regulatory compliance. Qualifications: Essential: Bachelor of Law (English Medium) Preferred: Qualified Company Secretary Experience: Minimum 3 years in corporate legal advisory or law firm Key Skills: Strong drafting and legal documentation skills Excellent oral & written communication Knowledge of corporate laws and governance Attention to detail, time management, and organizational skills Proficient in MS Office (Word, Excel, PowerPoint) Ability to handle confidential information with discretion Key Responsibilities: Draft, review, and negotiate legal documents, contracts, and policies Conduct legal research on company law and applicable regulations Assist in preparing board packs, compliance trackers, and regulatory filings Maintain statutory records and ensure timely compliance Liaise with external legal counsel and regulatory bodies Provide administrative support to the Legal Head
Sr. Software Angular Engineer What you'll do here: Perform analyses of system and coding needs to identify the problems encountered and propose solutions including program specifications. Develop system specifications, code, modify, test and debug computer programs under general supervision, in accordance with established planning and deadlines. Master the technical and business features of the system to be able to explain them to other colleagues, while interacting effectively with users. Translate requirements into technical specifications / software components. Organize and manage production sessions. Ensure the design and modeling of programmatic solutions for complex problems achieving documented functional and non-functional requirements. Review design as part of deliverables (Code and Design Quality). Develop and support complex components. Support and guide the project team in development activities to ensure the quality of the code delivered while meeting project deadlines. Write unit and integration tests for each function in which development is required. Participate in the implementation of regression testing strategies to improve the stability of the application components. Provide support and maintenance (level 1) for the application and resolve complex anomalies. What you bring to the table: Degree in Computer Engineering / Science or any combination of equivalent education and experience. 8-10 years of software design and development experience. Knowledge of Service Oriented Architecture, Mesh App and Service Architecture. Great level of Object-Oriented Analysis and Design experience, and a good understanding of the UX design principles. A minimum of 2-3 years of Angular 17+, Angular Material, HTML, CSS (Tailwind framework) and StoryBook experience is preferred. A minimum of 3-5 years of experience building server-side apps using Java 8+, JDBC, Hibernate and creating web services or APIs using REST (and SOAP). A minimum of 2 years of experience with relational databases such as Oracle 12+, PL/SQL and NoSQL databases such as MongoDB or Elasticsearch. Thanks Poonam
5+ years of experience in customer support, client management, or account management roles, preferably within financial services, SaaS, or BPO industries. Experience in using CRM systems and customer support tools (such as Salesforce, HubSpot, or similar platforms) to track and manage client interactions. Proven ability to work cross-functionally with sales, product, and operations teams to drive client support initiatives. A background in finance, accounting, bookkeeping will be highly valued. Demonstrated leadership experience, with a proven ability to guide, motivate, and manage high-performing teams in a customer-facing environment. Exceptional interpersonal and communication skills, both verbal and written, with the ability to present complex financial and technical information in a simple, client-friendly manner. Strong problem-solving abilities, with a proven track record in resolving escalated client issues and ensuring long-term client satisfaction. Excellent relationship-building skills, with experience in maintaining and growing client relationships at all levels. Data-driven mindset, with the ability to use customer support metrics and KPIs to drive performance improvements and decision-making. Preferred Qualifications: Experience working with SaaS platforms or cloud-based solutions is a plus. Bachelors degree in business, finance, or a related field; MBA or advanced certifications in customer support or client management are a plus.
Role & responsibilities Own the technology direction and roadmap for the technology assets for commercial and speciality lines. Collaborates closely with the senior leadership to develop and implement strategic initiatives and roadmaps that drive innovation, enhance efficiency, and contribute to maintaining the competitive edge in the market Own the Platform performance, scalability and other aspects. Serve as the technical authority and decision-maker for key architecture and design initiatives, especially those that are of high risk or new technology Hands on Keyboard technical proficiency. Serves as a trusted advisor, leveraging technical expertise to own and make strategic decisions and initiatives and plays an important role in elevating technical decision-making process and acts as a technological leader. Promotes and facilitates cross-functional collaboration to ensure technical decisions support overall business strategy Serves as a mentor and fosters internal growth as it relates to engineering capabilities within the team Develop shared software engineering frameworks, APIs, and toolkits to streamline integration into production applications. Define and enforce software engineering best practices, ensuring consistency across model development, deployment, and monitoring Identify opportunities for innovation and continuous improvement and act as an agent of change by championing innovative ideas and initiatives to improve processes Stay abreast of industry trends, emerging technologies and best practices, assess the potential impact of new technologies on the organization and recommend adoption strategies Coordinate with Experts in various technical forums, both internally and externally. Recognized as an active member of the tech community and promotes technology within and outside the organization Preferred candidate profile Bachelors or Masters degree in Compute Science, Engineering or related field. 10+ years of experience in software development, with at least 3+ years in technical leadership role Strong understanding of software architecture principles and system design patterns and AI/ML concepts and frameworks Deep expertise with Angular, Java, Spring boot, Database (SQL & NoSQL) and experience with Cloud platforms (such as AWS, Azure, GCP), microservices, and distributed systems Proven ability to design scalable, resilient systems in production environments Extensive knowledge of DevSecOps and observability tools. Proven leadership in mentoring software engineers and building global technical communities. Excellent analytical and problem-solving skills. Ability to tackle complex technical challenges and to navigate ambiguity. Excellent communication and stakeholder management skills to bridge the gap between software development teams and business leaders. Ability to convey complex technical information to diverse audiences.
Role & responsibilities Analyse business requirements and support\create design for requirements • Build and deploy new/changes to data mappings, sessions, and workflows in Azure Cloud Platform key focus area would be Azure Databricks. • Develop performant code • Perform ETL routines performance tuning, troubleshooting, support, and capacity estimation. • Conduct thorough testing of ETL code changes to ensure quality deliverables • Provide day-to-day support and mentoring to end users who are interacting with the data • Profile and understand large amounts of source data available, including structured and semistructured/web activity data • Analyse defects and provide fixes • Provide release notes for deployments • Support Release activities • Problem solving attitude Keep up to date with new skills - Develop technology skills in other areas of Platform Preferred candidate profile Experienced in ETL tools, data projects • Recent Azure experience Strong knowledge of Azure Data Bricks (Python/SQL) • Good knowledge of SQL & Python • Strong Analytical skills • Azure DevOps knowledge • Experience with Azure Databricks, Logic Apps would be highly desirable • Experience with Python programming would be highly desirable • Experience with Azure Functions would be a plus
Role & responsibilities Analyse business requirements and support\create design for requirements • Build and deploy new/changes to data mappings, sessions, and workflows in Azure Cloud Platform key focus area would be Azure Databricks. • Develop performant code • Perform ETL routines performance tuning, troubleshooting, support, and capacity estimation. • Conduct thorough testing of ETL code changes to ensure quality deliverables • Provide day-to-day support and mentoring to end users who are interacting with the data • Profile and understand large amounts of source data available, including structured and semistructured/web activity data • Analyse defects and provide fixes • Provide release notes for deployments • Support Release activities • Problem solving attitude Keep up to date with new skills - Develop technology skills in other areas of Platform Preferred candidate profile Experienced in ETL tools, data projects • Recent Azure experience Strong knowledge of Azure Data Bricks (Python/SQL) • Good knowledge of SQL & Python • Strong Analytical skills • Azure DevOps knowledge • Experience with Azure Databricks, Logic Apps would be highly desirable • Experience with Python programming would be highly desirable • Experience with Azure Functions would be a plus
Immediate Joiners Only Position: Senior Data Engineer / Data Engineer Desired Experience: 5 plus years Location - Remote Salary: Best-in-industry You will act as a key member of the Data consulting team, working directly with the partners and senior stakeholders of the clients designing and implementing big data and analytics solutions. Communication and organisation skills are keys for this position, along with a problem-solution attitude. What is in it for you: • Opportunity to work with a world class team of business consultants and engineers solving some of the most complex business problems by applying data and analytics techniques • Fast track career growth in a highly entrepreneurial work environment • Best-in-industry renumeration package Essential Technical Skills: • Technical expertise with emerging Big Data technologies, such as: Python, Spark, Hadoop, Clojure, Git, SQL and Databricks; and visualization tools: Tableau and PowerBI • Experience with cloud, container and micro service infrastructures • Experience working with divergent data sets that meet the requirements of the Data Science and Data Analytics teams • Hands-on experience with data modelling, query techniques and complexity analysis Desirable Skills: • Experience/Knowledge of working in an agile environment and experience with agile methodologies such as Scrum • Experience of working with development teams and product owners to understand their requirement • Certifications on any of the above areas will be preferred. Your duties will include: • Develop data solutions within a Big Data Azure and/or other cloud environments • Working with divergent data sets that meet the requirements of the Data Science and Data Analytics teams • Build and design Data Architectures using Azure Data factory, Databricks, Data lake, Synapse • Liaising with CTO, Product Owners and other Operations teams to deliver engineering roadmaps showing key items such as upgrades, technical refreshes and new versions • Perform data mapping activities to describe source data, target data and the high-level or detailed transformations that need to occur; • Assist Data Analyst team in developing KPIs and reporting in tools viz. Power BI, Tableau • Data Integration, Transformation, Modelling • Maintaining all relevant documentation and knowledge bases • Research and suggest new database products, services and protocols Essential Personal Traits: • You should be able to work independently and communicate effectively with remote teams. • Timely communication/escalation of issues/dependencies to higher management. • Curiosity to learn and apply emerging technologies to solve business problems
Position: Principal Data Architect Seniority Level: Manager/Sr Manager Salary Package: Best in the industry Roles & Responsibility - Your team You will act as a key member of the consulting team helping Clients to re-invent their corporate finance function by leveraging advanced analytics. You will be closely working directly with senior stakeholders of the clients designing and implementing data strategy in finance space which includes multiple use cases viz. controllership, FP&A and GPO. You will be responsible for developing technical solutions to deliver scalable analytical solutions leveraging cloud and big data technologies. You will also collaborate with Business Consultants and Product Owners to design and implement technical solutions. Communication and organisation skills are keys for this position. Responsibilities: Design and drive end to end data and analytics solution architecture from concept to delivery Design, develop, and support conceptual/logical/physical data models for analytics solutions. Ensures that industry-accepted data architecture principles, standards, guidelines and concepts are integrated with those of allied disciplines and coordinated roll-outand adoption strategies are in place. Drive the design, sizing, setup, etc. of Azure environments and related services Provide mentoring on data architecture design and requirements to developmentand business teams Reviews the solution requirements and architecture to ensure selection of appropriate technology, efficient use of resources and integration of multiple systems and technology. Advising on new technology trends and possible adoption to maintain competitive advantage Participate in pre-sales activities and publish thought leaderships Work closely with the founders to drive the technology strategy for the organization Help and lead technology team recruitments in various areas of data analytics Experience Needed: Demonstrated experience delivering multiple data solutions Demonstrated experience with ETL development both on-premises and in the cloudusing SSIS, Data Factory, and related Microsoft and other ETL technologies. Demonstrated in depth skills with SQL Server, Azure Synapse, Azure Databricks, HD Insights, Azure Data Lake with the ability to configure and administrate all aspects of SQL Server. Demonstrated experience with different data models like normalized, de- normalized, stars, and snowflake models. Worked with transactional, temporal, timeseries, and structured and unstructured data. Data Quality Management (Microsoft DQS and other data quality and governance tools) and Data Architecture standardization experience Deep understanding of the operational dependencies of applications, networks, systems, security and policy (both on-premise and in the cloud; VMs, Networking,VPN (Express Route), Active Directory, Storage (Blob, etc.), Windows/Linux). Advanced study / knowledge in the field of computer science or software engineering along with advanced knowledge of software development and methodologies (Microsoft development lifecycle including OOP principles, VisualStudio, SDKs, PowerShell, CLI). Is familiar with the principles and practices involved in development and maintenance of software solutions and architectures and in-service delivery (Microsoft and Azure DevOps. Azure Automation). Has strong technical background and remains evergreen with technology and industry developments Hands-on expertise and willingness to code in Spark, Python, SQL, ability to pick up new languages and tech on the go.
Role & responsibilities Design, build, and optimize end-to-end data pipelines and ETL/ELT workflows using Databricks, Spark, and DBT . Architect and implement data lakehouse and big data solutions across cloud platforms. Develop and deploy AI/ML models with strong focus on MLOps, automation, and CI/CD pipelines . Implement Infrastructure as Code (IaC) using Terraform, ARM Templates, or CloudFormation for data workloads. Work with Fabric, Palantir, Synapse, Snowflake, and Hadoop ecosystems for large-scale data integration. Collaborate with cross-functional teams to enable data governance, lineage, and data quality frameworks . Manage and optimize cloud-based data solutions on Azure, AWS, and GCP . Drive DevOps best practices for continuous integration, deployment, and monitoring of data systems. Technical Skills Cloud Platforms: Microsoft Azure, AWS, GCP Big Data & Data Engineering: Databricks, Spark, Hadoop, Kafka, Airflow, DBT, Palantir, Delta Lake, Azure Synapse, ADF, Fabric, Informatica, Snowflake, Talend, Glue, DataProc, NiFi Programming Languages: Python, Scala, Java, SQL, YAML, Shell Script AI & ML Engineering: MLOps, Generative AI, Model Deployment, Feature Engineering DevOps & Automation: CI/CD (Azure DevOps, Jenkins, GitHub Actions), Terraform, Docker, Kubernetes Data Architecture: Data Lakes, Data Warehouses, Lakehouse, ETL/ELT Frameworks, Metadata Management Qualifications Bachelors or Masters degree in Computer Science, Data Engineering, or related discipline 8-12 years of experience in Data Engineering / AI / Cloud domains Certification in Azure, AWS, or GCP Data/AI (preferred) Strong problem-solving and analytical skills Excellent communication and collaboration abilities Key Highlights Expertise in multi-cloud data solutions and AI-driven architectures Proven track record of delivering high-performance data platforms Strong exposure to MLOps, Generative AI, and cloud-native automation Hands-on experience in data modernization and digital transformation projects