SAP Datasphere (SAP Datawarehouse Cloud) x 2Experience :4+ years Responsibilities Design and develop data warehousing solutions using the SAP Datasphere platform. Develop and implement ETL processes to extract, transform, and load data from various sources into the data warehouse. Optimize data models and structures to ensure high performance and scalability of the data warehouse. Collaborate with business analysts and stakeholders to gather requirements and translate them into technical specifications for data warehousing solutions. Create and maintain data integration workflows, data pipelines, and scheduling processes to ensure the timely and accurate delivery of data. Perform data profiling, data cleansing, and data quality checks to ensure the integrity of the data within the data warehouse. Monitor and troubleshoot data warehouse performance issues and optimize query performance. Implement security measures and access controls to protect sensitive data within the data warehouse. Stay updated with the latest trends and advancements in SAP DWC and cloud technologies and provide recommendations for process improvements and system enhancements. Collaborate with infrastructure and operations teams to ensure the availability, reliability, and scalability of the SAP Datasphere environment.Qualifications Minimum 8 years of development and implementation experience Minimum 4 projects relevant experience with SAP Datasphere / Data Warehouse Cloud (DWC) Proven experience in designing and implementing data warehousing solutions using SAP Datasphere / Data Warehouse Cloud (DWC). Strong proficiency in SAP Datasphere tools and technologies, including data modelling, data provisioning, and data integration. Experience with ETL processes, data mapping, and data transformation techniques. Knowledge of SQL and experience in writing complex queries for data extraction and manipulation. Experience in data profiling, data cleansing, and data quality management. Familiarity with data visualization and reporting tools, such as SAP Analytics Cloud. Strong problem-solving and analytical skills, with the ability to troubleshoot and resolve data warehouse performance issues. Excellent communication and collaboration skills to work effectively with cross-functional teams and stakeholders

Role & responsibilities Support client consulting projects by conducting in-depth research, analysis, and strategic planning.Provide data-driven insights and actionable recommendations to improve business performance.Conduct market research, benchmarking, and competitive analysis to inform project strategies.Develop and deliver presentations, reports, and strategic frameworks for clients and senior leadership.Work collaboratively with cross-functional teams to implement solutions and track progress.Engage with stakeholders to understand business challenges and tailor solutions accordinglyPreferred candidate profile Educational Background: Bachelor's or Masters degree in Business, Management, Economics, Finance, or a related field.Experience: 5+ years of experience in strategy consulting, management consulting, or a similar role is highly desirable.Analytical Skills: Strong problem-solving ability with expertise in data analysis and market research.Communication Skills: Excellent verbal and written communication skills, with experience in presenting to stakeholders and leadership teams.Project Management: Ability to manage multiple projects efficiently in a fast-paced environment.Technical Proficiency: Proficiency in MS Office (Excel, PowerPoint, Word); experience with data visualization tools is a plus.Adaptability: Ability to work independently and collaboratively in a client-driven, deadline-oriented setting Preferred Qualifications:Previous experience in top-tier consulting firms or high-growth startups.Exposure to industries such as technology, healthcare, finance, or retail is a plus.Familiarity with strategic frameworks like SWOT, Porters Five Forces, and Business Model CanvasPerks and benefits Hands-on experience with real-world consulting challenges.Exposure to senior leadership and key decision-makers.Opportunity to work on high-impact, strategic projects.Flexible work arrangements (if applicable).

Role & responsibilities Monitor, validate, and assess the performance of machine learning and statistical models used in banking operations.Ensure compliance with regulatory guidelines (e.g., Basel, IFRS 9, CCAR) and internal risk management policies.Develop and implement robust model validation frameworks, performance metrics, and stress-testing methodologies.Collaborate with data engineers, business analysts, and risk teams to enhance model accuracy and reliability.Identify potential biases, drift, and risks in production models, proposing corrective actions where necessary.Prepare detailed reports and presentations for internal stakeholders and regulatory bodies.Optimize model monitoring tools and strategies for continuous improvement.Preferred candidate profile Educational Background: Masters or PhD in Data Science, Statistics, Mathematics, Computer Science, or a related field.Experience: 4-8 years in data science, with at least 3 years in the banking sector.Strong proficiency in Python, R, and SQL, and experience with ML libraries such as scikit-learn, TensorFlow, and XGBoost.Hands-on experience with statistical modeling, predictive analytics, and risk models.Expertise in model validation techniques, drift analysis, and performance monitoring.Familiarity with regulatory frameworks relevant to banking models.Experience with big data tools (e.g., Spark, Hadoop) and cloud platforms (AWS, GCP, Azure) is a plus.Strong problem-solving skills and ability to communicate complex findings effectively.Perks and benefits Competitive Salary and Benefits.Opportunity to be part of a fast-paced and growing startup. Grow your career with the company.Ownership - You will own your initiative and be given specific responsibilities.Continuous coaching & mentoring You will have the opportunity to interact and work closely with other senior data scientists and AI experts across the globe.Dynamic and respectful work environment we truly value you!

Role & responsibilities Design, develop, and maintain automated test scripts using Selenium with Java.Collaborate with development teams to understand application features and create effective test strategies.Identify, document, and track bugs through defect management tools.Ensure high-quality software releases by executing test cases and analyzing results.Work on improving automation frameworks and enhancing test coverage.Perform API automation testing (Nice to have).Generate detailed test reports and communicate findings effectively.Preferred candidate profile 4 to 9 years of experience in automation testing.Must-have: Strong hands-on experience with Selenium & Java for automation testing.Experience in creating, maintaining, and executing automation test scripts.Nice-to-have: Experience in API Automation testing.Knowledge of version control systems like Git, and Bitbucket.Experience with test management and defect-tracking tools like JIRA, and TestRail.Understanding of Agile methodologies and CI/CD pipelines.Good analytical and problem-solving skills.Experience with frameworks like TestNG, Cucumber, and JUnit.Familiarity with API testing tools like Postman, and RestAssured.Knowledge of cloud-based testing platforms is a plusPerks and benefits Competitive Salary and BenefitsGrowth Opportunities Be part of a fast-paced and growing startup.Ownership & Responsibility – You will own initiatives and drive results.Continuous Learning & Mentorship – Work closely with senior data scientists and AI experts.Dynamic & Respectful Work Environment – A culture that values and supports its employees.

Role & responsibilities Develop and optimize big data processing pipelines using PySpark and Python.Work with Unix/Shell scripting for automation and data workflow management.Write and optimize SQL/HQL queries for data extraction and transformation on the CDP platform.Manage and process large datasets efficiently within a Big Data ecosystem.Collaborate with data analysts, data scientists, and engineering teams to ensure seamless data flow.Implement best practices in data processing, ETL, and performance tuning.Troubleshoot and resolve issues in data processing pipelines and platform performance.Must-Have SkillsStrong experience in PySpark and Python for big data processing.Hands-on experience in Big Data technologies.Unix/Shell scripting skills for automation and scheduling.Proficiency in SQL/HQL queries on the CDP platform.Good-to-Have SkillsExperience with Object Storage (S3) for cloud-based data management.Familiarity with Airflow scheduler for workflow automation.Experience using Query Trino tool for distributed SQL queries.Knowledge of Iceberg analytical tools for large-scale data processing.Preferred candidate profile Bachelor's or Master's in Computer Science, Information Technology, or a related field.5+ years of experience working in Big Data and Data Engineering.Strong problem-solving skills and ability to work in fast-paced environmentsPerks and benefits Competitive Salary and BenefitsGrowth Opportunities Be part of a fast-paced and growing startup.Ownership & Responsibility – You will own initiatives and drive results.Continuous Learning & Mentorship – Work closely with senior data scientists and AI experts.Dynamic & Respectful Work Environment – A culture that values and supports its employees.

Role & responsibilities Develop and maintain Big Data solutions using Hadoop, Hive SQL, Spark, and other Big Data ecosystem tools. Optimize and enhance query performance. Set up environments, ensure connectivity, and deploy code in production after thorough testing. Serve as a primary contact for small to medium-sized projects as needed. Work in an Agile development framework and follow DevOps best practices. Create Scala/Spark jobs for data transformation and aggregation. Write unit tests for Spark transformations and helper methods. Document code using Scaladoc-style documentation. Design and implement data processing pipelines Preferred candidate profile Hands-on experience with Hadoop, Hive SQL, Spark, and Big Data ecosystem tools. Ability to optimize queries and enhance performance. Strong functional and technical knowledge with an understanding of banking terminologies. Experience working in an Agile and DevOps environment. Proficiency in Scala/Spark for data transformation. Perks and benefits Competitive Salary and Benefits Growth Opportunities Be part of a fast-paced and growing startup. Ownership & Responsibility You will own initiatives and drive results. Continuous Learning & Mentorship – Work closely with senior data scientists and AI experts. Dynamic & Respectful Work Environment – A culture that values and supports its employees.

Role & responsibilities Design, develop, and deploy AI models to solve complex business problems and generate actionable insights. Work closely with stakeholders, including business leaders, product managers, and engineers, to understand requirements, define project goals, and develop AI powered solutions. Analyse large, complex datasets to identify patterns, trends, and correlations. Clean, transform, and preprocess data to ensure its accuracy and reliability. Keep abreast of the latest advancements in AI, Machine learning, and big data technologies. Identify and recommend new tools, methodologies, and best practices to improve data science capabilities within the organization. Provide guidance and mentorship to junior data scientists, helping them grow their skills and expertise in data science techniques and methodologies. Collaborate with external partners, such as research institutions or universities, to explore innovative AI approaches and foster collaborative research projects. Ensure compliance with data privacy regulations and ethical guidelines while working with sensitive and confidential data. Preferred candidate profile Ph.D, Masters or Bachelors degree in computer science, AI, Mathematics, or a related field. 4+ years of professional experience in AI, machine learning, or a related field. Good mathematical understanding of machine learning and deep learning algorithms.Proficiency in programming languages such as Python, R, or Scala, along with experience using DL frameworks like TensorFlow, PyTorch etc. Experience in REST API development Strong problem-solving skills and the ability to work independently or in a team-oriented, collaborative environment. Perks and benefits Competitive Salary and Benefits. Opportunity to be part of a fast-paced and growing startup. Grow your career with the company. Ownership - You will own your initiative and be given specific responsibilities. Continuous coaching & mentoring You will have the opportunity to interact and work closely with other senior data scientists and AI experts across the globe. Dynamic and respectful work environment – we truly value you!