Job Description Assist in sourcing and screening candidates for job openings. Schedule interviews and coordinate with hiring managers. Support the onboarding process for new hires, including documentation and orientation. Maintain and update employee records in HR systems. Assist in organizing employee engagement activities and events. Support payroll and benefits administration tasks, if required. Handle employee queries and support day-to-day HR operations. Requirements Currently pursuing or recently completed a degree in Human Resources, Business Administration, or a related field. Strong communication and interpersonal skills. Proficiency in MS Office (Excel, Word, PowerPoint). Ability to maintain confidentiality and professionalism. Eagerness to learn and contribute to HR functions. Prior internship or experience in HR is a plus. check(event) ; career-website-detail-template-2 => apply(record.id,meta)" mousedown="lyte-button => check(event)" final-style="background-color:#9647FD;border-color:#9647FD;color:white;" final-class="lyte-button lyteBackgroundColorBtn lyteSuccess" lyte-rendered=""> Show more Show less

We are seeking a talented and detail-oriented Data Developer to design, develop, and maintain data solutions that support analytics, reporting, and business decision-making You will play a key role in building and optimizing data pipelines, integrating disparate data sources, and ensuring high-quality data delivery across systems The ideal candidate has strong technical skills, a passion for data, and experience working in modern data environments, Key Responsibilities Develop, optimize, and maintain data pipelines and ETL/ELT processes to ingest, transform, and load data from various sources, Build and maintain data models, data warehouses, and data marts to support business intelligence and analytics needs, Collaborate with data analysts, engineers, and business users to understand data requirements and deliver fit-for-purpose solutions, Write efficient SQL queries and scripts for data manipulation, cleansing, and analysis, Ensure data quality, consistency, and integrity across platforms and applications, Support data integration efforts between internal systems and third-party platforms via APIs or file transfers, Participate in performance tuning and troubleshooting of data workflows and queries, Document data solutions, processes, and data definitions to support data governance and maintain transparency, Stay updated with industry trends and recommend improvements to the existing data architecture and practices, Requirements Experience: 3+ years of experience in ETL development, data engineering, or a similar role, Hands-on experience with ETL tools and frameworks (e-g , Apache NiFi, Snowflake etc), Strong SQL skills and familiarity with scripting languages such as Python or Shell, Experience working with relational databases (e-g, SQL Server, PostgreSQL, MySQL) and data warehouses, Familiarity with version control systems (e-g, Git) and CI/CD pipelines, Skills Solid understanding of data modelling concepts (e-g , star/snowflake schema, normalization), Good knowledge of cloud platforms and their data services, Strong analytical thinking and problem-solving skills, Effective communication skills and the ability to work collaboratively in a team environment, Preferred Qualifications Experience with big data tools and platforms (e-g, Spark, Hadoop, Databricks), Familiarity with data orchestration tools like Apache Airflow, Understanding of data governance, security, and compliance principles, Background in agile software development and DevOps practices check(event) ;

We are looking for a skilled and detail-oriented MI / Analytics Developer to design, build, and maintain robust reporting and analytics solutions that empower stakeholders with actionable insights This role involves working closely with business users, analysts, and data teams to transform data into compelling dashboards, reports, and models that drive strategic and operational decisions, Key Responsibilities Develop, maintain, and optimize MI reports and dashboards using tools such as Power BI, Tableau, or Qlik, Collaborate with stakeholders to gather reporting requirements and translate them into scalable, repeatable data solutions, Write complex SQL queries to extract, transform, and analyse data from various sources including data warehouses and cloud-based platforms, Automate data retrieval and reporting processes to improve efficiency and reduce manual effort, Ensure accuracy, consistency, and integrity of data across all reports and dashboards, Maintain and improve data models that support reporting and analytics, Support the development and maintenance of KPI frameworks and performance measurement systems, Participate in UAT and end-user training to ensure solutions meet business needs, Troubleshoot and resolve issues related to data, reports, or performance, Requirements Experience: 6+ years of experience in MI development, business intelligence, or analytics roles, Proven experience in building dashboards and reports using BI tools (e-g, Power BI, Tableau, Qlik), Strong SQL skills for querying and manipulating data from complex databases, Experience working with data warehouses, ETL processes, and cloud data platforms Familiarity with Excel and other data visualization tools and best practices, ServiceNow Reporting Skills Strong understanding of data warehousing concepts (e-g , dimensional modelling, star/snowflake schema), Strong analytical and problem-solving capabilities Excellent problem-solving, analytical, and communication skills, Ability to manage competing priorities and drive cross-functional initiatives, Preferred Qualifications

We are looking for a highly experienced Data Platform Test Lead to lead the quality assurance efforts across our data engineering and analytics platforms The ideal candidate will have strong technical expertise in data testing, a deep understanding of data platforms, and hands-on experience with both manual and automated testing approaches As a Test Lead, you will be responsible for defining the test strategy, leading QA activities, and ensuring the reliability, accuracy, and performance of data pipelines, data lakes, and analytics systems, Key Responsibilities Lead end-to-end testing initiatives for data platform components including ETL processes, data pipelines, data lakes, and data warehouses, Define and implement test strategy, plans, and test cases for data validation, transformation logic, and platform performance, Collaborate with data engineers, architects, analysts, and business stakeholders to understand data requirements and ensure testing coverage, Design and execute tests to validate data quality, integrity, completeness, consistency, and reconciliation across multiple sources, Set up and maintain automated data testing frameworks and tools, Identify, document, and track defects and ensure timely resolution, Monitor test metrics and provide reporting on test execution progress and quality status, Support the continuous integration and deployment processes with test automation for data pipelines while driving adoption of data testing standards and contribute to data governance initiatives, Requirements Experience: 10+ years of experience in QA/testing with at least 3 years in data-focused testing roles, Proven experience testing large-scale data platforms, Experience in test automation and testing tools, Familiarity with big data technologies such as Hadoop, Spark, Kafka, etc and knowledge of ETL tools, data warehousing, and data lake solutions, Data Recon and DWH aggregation and data marts testing, Skills Strong analytical and debugging skills, Experience with automation frameworks and CI/CD pipelines, Familiarity with tools like Jenkins, Git, Airflow, or similar, Excellent communication skills to coordinate with cross-functional teams, Strong leadership, organizational, and time management abilities, Preferred Qualifications Experience in open-source tech stack for testing data flows, QA Certifications

Job Description We are seeking an experienced and hands-on Data Engineering Lead to lead the design, development, and optimization of the data infrastructure and pipelines In this role, you will build robust, scalable, and secure data solutions and data products while working with a team, The ideal candidate combines deep technical hands-on knowledge with strong leadership skills and a passion for building high-performance data flows, Key Responsibilities Lead the architecture, development, and maintenance of data pipelines, data lakes, and data warehouse solutions, Collaborate with stakeholders to understand data needs and translate business requirements into technical solutions, Drive best practices in data modelling, ETL/ELT development, and data quality assurance, Ensure high availability, reliability, and performance of data systems, Own and enforce data governance, security, and compliance standards across data platforms, Collaborate with DevOps and platform teams to support CI/CD pipelines and infrastructure automation for data solutions, Evaluate and recommend new tools, technologies, and frameworks that improve data delivery and analytics capabilities, Monitor system performance, usage metrics, and proactively resolve data-related issues, Requirements Experience: 8+ years of experience in data engineering, Proven experience testing large-scale data platforms and cloud-based data systems, Hands-on experience with big data and distributed systems (e-g , Spark, Hadoop, Kafka), Proven track record of building and scaling data pipelines in cloud environments, Expertise in SQL, Python, and one or more data orchestration tools (e-g , Airflow, dbt), Building data flows in Snowflake Skills Strong understanding of data warehousing concepts (e-g , dimensional modelling, star/snowflake schema), Proficiency with modern data platforms, Familiarity with containerization and orchestration tools (Docker, Kubernetes), Excellent problem-solving, analytical, and communication skills, Ability to manage competing priorities and drive cross-functional initiatives, Preferred Qualifications Experience in batch and real time streaming data platforms, Experience with DevOps practices and CI/CD pipelines for data systems, Familiarity with data governance, lineage, and metadata management tools

Job Description We are seeking a highly skilled and experienced Data Architect to design, implement, and manage the data infrastructure As a Data Architect, you will play a key role in shaping the data strategy, ensuring data is accessible, reliable, and secure across the organization You will work closely with business stakeholders, data engineers, and analysts to develop scalable data solutions that support business intelligence, analytics, and operational needs, Key Responsibilities Design and implement effective database solutions (on-prem / cloud) and data models to store and retrieve data for various applications within FinCrime domain, Develop and maintain robust data architecture strategies aligned with business objectives, Define data standards, frameworks, and governance practices to ensure data quality and integrity, Collaborate with data engineers, software developers, and business stakeholders to integrate data systems and optimize data pipelines, Evaluate and recommend tools and technologies for data management, warehousing, and processing, Create and maintain documentation related to data models, architecture diagrams, and processes, Ensure data security and compliance with relevant regulations (e-g , GDPR, HIPAA, CCPA), Participate in capacity planning and growth forecasting for the organizations data infrastructure, Through various POCs, assess and compare multiple tooling options and deliver use-cases based on MVP model as per expectations, Requirements Experience: 10+ years of experience in data architecture, data engineering, or related roles, Proven experience with relational and NoSQL databases, Experience with FinCrime domain applications and reporting, Strong experience with ETL tools, data warehousing, and data lake solutions, Familiarity with other data technologies such as Spark, Kafka, Snowflake, Skills Strong analytical and problem-solving skills, Proficiency in data modelling tools (e-g , ER/Studio, Erwin), Excellent understanding of database management systems and data security, Knowledge of data governance, metadata management, and data lineage, Strong communication and interpersonal skills to collaborate across teams, Subject matter expertise within the FinCrime, Preferred Qualifications

The Opportunity: We need brilliant minds who can solve hard problems. We are building a small but mighty AI/ML team that's transforming how financial institutions handle compliance. This isn't about building flashy demos -- we're creating real solutions that keep our customers out of trouble with regulators while saving them countless hours of manual work. What you will do: Prototype GenAI components including vector search, retrieval-augmented generation, and lightweight LLM fine-tuning, then move promising ideas into production Write clear Python code, test it thoroughly, benchmark against real data, and iterate to improve performance Work in short release cycles: design review → code → deploy → monitor → fix Collaborate with product, DevOps, and domain specialists to translate compliance requirements into working code Working at Facctum: We ship compliance tech that banks rely on. Teams are small; decisions move fast; code earns its keep only when it runs in production. Work mode: Hybrid by default (few days from office and work from office on remaining days). Fully onsite or remote considered for the right person. Growth: Mentorship from senior engineers, hands-on exposure to cutting-edge GenAI, and visibility across the entire product lifecycle. Requirements Skills and experience we need: 2-3 years hands-on machine-learning development in Python Solid grasp of data structures, algorithms, and basic statistics Familiarity with a deep-learning toolkit (PyTorch, TensorFlow, or similar) Exposure to LLMs and related tooling (LangChain, LlamaIndex, etc.) and vector databases Comfort with Git and CI/CD basics Nice to have: AWS experience (we host and orchestrate on AWS), but it isn't mandatory

Job Description The Opportunity: We need brilliant minds who can solve hard problems. We are building a small but mighty AI/ML team that's transforming how financial institutions handle compliance. This isn't about building flashy demos -- we're creating real solutions that keep our customers out of trouble with regulators while saving them countless hours of manual work. What You Will Do Prototype GenAI components including vector search, retrieval-augmented generation, and lightweight LLM fine-tuning, then move promising ideas into production Write clear Python code, test it thoroughly, benchmark against real data, and iterate to improve performance Work in short release cycles: design review → code → deploy → monitor → fix Collaborate with product, DevOps, and domain specialists to translate compliance requirements into working code Working At Facctum We ship compliance tech that banks rely on. Teams are small; decisions move fast; code earns its keep only when it runs in production. Work mode: Hybrid by default (few days from office and work from office on remaining days). Fully onsite or remote considered for the right person. Growth: Mentorship from senior engineers, hands-on exposure to cutting-edge GenAI, and visibility across the entire product lifecycle. Requirements Skills and experience we need: 2-3 years hands-on machine-learning development in Python Solid grasp of data structures, algorithms, and basic statistics Familiarity with a deep-learning toolkit (PyTorch, TensorFlow, or similar) Exposure to LLMs and related tooling (LangChain, LlamaIndex, etc.) and vector databases Comfort with Git and CI/CD basics Nice to have: AWS experience (we host and orchestrate on AWS), but it isn't mandatory check(event) ; career-website-detail-template-2 => apply(record.id,meta)" mousedown="lyte-button => check(event)" final-style="background-color:#9647FD;border-color:#9647FD;color:white;" final-class="lyte-button lyteBackgroundColorBtn lyteSuccess" lyte-rendered="">

At Facctum, we're creating innovative, secure, and scalable web applications that empower organizations in a data-driven world We are looking for a Full Stack Developer with deep expertise in React js and Node js to join our collaborative development team This role is ideal for a hands-on developer with a strong foundation in front-end and back-end JavaScript technologies, relational databases, and basic AWS services Key Responsibilities Design and develop robust front-end applications using React js Build and maintain scalable back-end services with Node js and Express Integrate front-end and back-end components using RESTful APIs Implement responsive, performant UIs with reusable components Collaborate with cross-functional teams to define, design, and deliver new features Manage and optimize relational databases (eg , PostgreSQL, MySQL) Work with MongoDB and ensure smooth data integration with RDBMS where needed Deploy and monitor applications using basic AWS services (e , EC2, S3, CloudWatch) Troubleshoot and resolve issues across the full stack Stay up-to-date with the latest best practices in JavaScript development, cloud, and web security Requirements Required Skills and Qualifications Proven experience as a Full Stack Developer with React js and Node js expertise Proficient in JavaScript (ES6+), HTML5, CSS3 Strong experience with Redux or other state management tools Familiarity with RESTful API architecture Solid understanding of front-end build tools (eg, Webpack, Babel) Proficient with Git and version control workflows Strong knowledge of RDBMS concepts and experience with MongoDB Working knowledge of AWS services used in deployment and monitoring Excellent problem-solving skills and attention to detail Strong communication skills and ability to work in a team environment Preferred (Nice To Have) Experience with CI/CD pipelines and automation tools Familiarity with Docker or containerization tools Understanding of security best practices for web applications Familiarity with WebSockets

Role and Responsibilities Understand the business requirements and build Product Data models/schema Work closely with the senior data engineers and solution designers to deliver world-class data pipelines and data platforms. Champion best practices for the design and development of technically robust, flexible, and scalable solutions Maintain, develop and extend our existing data pipelines Pioneer new capabilities on open-source technologies Provide development and architectural guidance in both areas of our core business – product and consulting. Writing effective business logic and algorithm design for data processing Test software to ensure responsiveness and efficiency by writing test cases, contributing to our detailed test platform and writing technical documentation Our rapidly evolving organisation operates a "fail fast" methodology - you should be able to think on your feet and deliver right first time. We encourage free thinking - developers expecting a detailed low-level design document for each task need not apply. Requirements Bachelor's degree in computer sciences or equivalent stream. Should have strong, hands-on experience with SQL, procedures/functions and data services in AWS Should have strong, hands-on experience with Python/Pyspark and Nodejs Hands on experience with Python (or Java) programming language Proficiency in code management and versioning practices using git In depth understanding of parallel processing and performance optimized design Strong experience in data structures, algorithms, and design patterns Strong experience in Unix shell programming Hands-on experience on Cloud platforms such as AWS or GCP or AZURE Experience and/or domain knowledge in Fintech, SaaS product development would be a plus Good communication skills Ability to work independently as well as a team to produce the desired results Good problem solving skills

Role Overview We are seeking a Production Support Engineer with 2-4 years of relevant experience. This role involves providing end-to-end product support. Key Responsibilities · Stay updated on product developments, known issues, user feedback, Facctum Products and Supported integration. · Proactively identify and address outages or critical issues, Ensuring timely communication with engineers and managers. · Debugging and Troubleshooting: Analyze, debug, and resolve production issues by investigating application logs, API interactions, and system performance metrics. · Work in a rotating 24/7 shift schedule, including weekends and holidays, to ensure seamless production operations. Provide on-call support as needed to address critical issues. · Test and validate APIs using tools like Postman or Swagger, ensuring endpoints are functioning as expected. · Working closely with product development, engineering, and other cross functional teams to resolve issues. · Support root cause analysis and implementing preventive measures. · Handle support requests using ticketing tools like Zendesk, ensuring timely resolution within agreed SLAs and accurate documentation of issues. · Manage support queues daily to meet SLAs and maintain high customer satisfaction · Draft professional emails and effectively communicate with customers and internal teams to provide updates, resolutions, and insights. · Maintain documentation for tasks, known issues, and team activities. · Develop your technical skills through hands-on experience with our tools and contribute to our internal knowledge base. Requirements - Proven experience in production support roles. - Experience in shell scripting, Unix/Linux commands. - Understanding of AWS Cloud and Its services like , Cloud Watch, EC2, S3, EKS, VPC (Good to have AWS certification). - Must have working knowledge of Kubernetes . - Solid understanding of Jenkins, GIT & CICD process . - ETL & Database knowledge ( Postgres / MongoDB / Abintio). - ITIL Process, Incident, Problem Management. - Hands on experienced on production deployments and product releases. - Must agree for 247 rotational shifts, including weekends. - Excellent written and verbal communication skills.