Job Description – Senior Data Scientist As a Senior Data Scientist, your responsibilities will encompass developing advanced data analytics models, implementing machine learning algorithms, and optimizing data pipelines. You will play a pivotal role in delivering data-driven solutions that enhance our and our client’s products and operations, ultimately driving business growth. Collaboration with cross-functional teams, management, and senior leadership will be key as you translate complex data into actionable insights and strategies. We are looking for individuals who are passionate about harnessing the power of data science and machine learning to solve complex business challenges and drive innovation. Roles & Responsibilities: Advanced Analytics: Develop and implement data analytics models, machine learning algorithms, and data pipelines. Problem Solving: Tackle challenging data science problems, from predictive modeling to natural language processing. Data-Driven Insights: Extract actionable insights from data, enabling data-driven decision-making across the enterprise. ML Model Development : Develop and deploy machine learning models and algorithms Stakeholder Communication: Effectively communicate to address complex business problems A/B Testing: Design and implement A/B testing methodologies to drive data-driven decision-making and product optimization Sharing technical concepts and insights to non-technical stakeholders, guiding them in making informed decisions Mentoring and leading a team of data scientists Participate and attend daily scrum calls and other project meetings Continuous learning, acquiring new skills and sharing knowledge pertaining to the field of data science Qualifications & Experience : A Master's or advanced degree in Data Science, Computer Science, Statistics, Engineering or a related field. Min 10+years with aound 7+ years of experience in Machine Learning , data science and delivering data-driven solutions in a corporate environment Strong proficiency in machine learning, statistical analysis, and data visualization. Expertise in programming languages such as Python. SQL expertise for data extraction, transformation, and analysis. Strong problem-solving and strategic thinking abilities. Excellent interpersonal/communication skills (both oral/written) with the ability to communicate at various levels with clarity & precision Ability to collaborate effectively across cross-functional teams. Strong problem-solving and strategic thinking abilities. Show more Show less
We are looking for an experienced Azure Data Engineer to join our data engineering team. You will be responsible for designing, developing, and maintaining data pipelines and data platforms on Azure using modern tools and services including Microsoft Fabric, Azure Data Factory, Python notebooks, Azure Functions , and Data Warehouses . Your focus will be on building scalable, reliable, and secure data workflows that empower analytics and business intelligence. Key Responsibilities: Design and develop scalable ETL/ELT pipelines using Azure Data Factory (ADF) and Microsoft Fabric . Implement data integration from diverse sources into centralized data warehouses or lakehouses (e.g., Fabric OneLake, Synapse). Build and operationalize Python notebooks for data transformation, enrichment, and machine learning preparation. Develop and deploy Azure Function Apps for lightweight compute tasks, API integration, or orchestration. Collaborate with analysts and business stakeholders to deliver high-quality, trustworthy data models. Implement best practices in data governance, security, version control, and CI/CD for data pipelines. Monitor pipeline performance and ensure high availability and reliability of data services. Contribute to architecture discussions and continuous improvement of the data platform. Required Skills & Experience: 3-5 years of hands-on experience in data engineering with strong Azure expertise. Proficiency in: Microsoft Fabric (Data pipelines, Lakehouse, shortcuts, etc.) Azure Data Factory (ADF) Python notebooks (in Synapse, Fabric, or Azure ML) Azure Functions / Function Apps Data Warehousing concepts and tools (e.g., Synapse SQL, Snowflake, Fabric DWH) Strong SQL skills for data extraction, transformation, and modeling. Good understanding of modern data architectures: medallion architecture, Lakehouse, and data mesh principles.
As a Member Software Engineer (.Net Core) with a minimum of 3 years of experience, you will be responsible for developing innovative .NET web applications. Your primary tasks will include building applications from scratch, configuring and maintaining existing systems, and providing necessary support throughout the development lifecycle. Your key roles and responsibilities will involve: - Developing performant REST APIs to support application functionalities. - Actively participating in requirements analysis to ensure alignment with project objectives. - Writing clean and scalable code that adheres to best practices and coding standards. - Implementing unit tests for robust code coverage and quality assurance. - Utilizing Static Code Analysis tools to enhance code quality and identify potential issues. - Optimizing the overall performance of applications for efficiency and responsiveness. - Collaborating with graphic designers to implement web design features effectively. - Maintaining a strong focus on data governance and application security measures. - Operating as a proactive and collaborative Agile team member to achieve project goals. To excel in this role, you should possess the following competency skills: - Hands-on experience of 3+ years in Microsoft .NET web stack programming, including C#, ASP.NET, .NET Core, and MSSQL Server. - Proficiency in Entity Framework for efficient data access and management. - Sound understanding of data structures, threading concepts, and their practical applications. - Proficient in fundamental front-end languages like HTML, CSS, and JavaScript. - Conceptually strong in Object-Oriented Programming (OOP) principles and practices. - Working knowledge of Unit Test Frameworks such as MSTest, NUnit, or xUnit.NET for code testing. - Excellent database programming skills using MS SQL Server 2017 or newer versions. - Strong hands-on experience with Azure/AWS Cloud Services and DevOps practices. - Familiarity with CI & CD tools to automate build, test, and deployment processes. - Exceptional interpersonal and communication skills, both oral and written, to effectively interact with team members and stakeholders at various levels with clarity and precision. This position is based in Bangalore (Hybrid) and requires immediate joiners or candidates with a notice period of less than 15 days. If you are passionate about .NET development and possess the requisite skills and experience, we welcome your application to join our dynamic team.,
As an experienced Azure Data Engineer, you will be a valuable member of our data engineering team, contributing to the design, development, and maintenance of data pipelines and platforms on Azure. Leveraging tools and services such as Microsoft Fabric, Azure Data Factory, Python notebooks, Azure Functions, and Data Warehouses, you will play a crucial role in building scalable, reliable, and secure data workflows that drive analytics and business intelligence initiatives. Your responsibilities will include designing and implementing scalable ETL/ELT pipelines using Azure Data Factory (ADF) and Microsoft Fabric, integrating data from various sources into centralized data warehouses or lakehouses, and creating Python notebooks for data transformation and machine learning preparation. Additionally, you will develop Azure Function Apps for tasks like lightweight compute, API integration, and orchestration, collaborate with analysts and stakeholders to deliver high-quality data models, and ensure best practices in data governance, security, version control, and CI/CD for data pipelines. To excel in this role, you should have a minimum of 3-5 years of hands-on experience in data engineering with a strong focus on Azure technologies. Proficiency in Microsoft Fabric, Azure Data Factory (ADF), Python notebooks, Azure Functions, and Data Warehousing concepts is essential. Strong SQL skills for data extraction, transformation, and modeling are also required, along with a good understanding of modern data architectures such as medallion architecture, lakehouse, and data mesh principles. If you are passionate about data engineering, enjoy working with cutting-edge technologies, and thrive in a collaborative environment, we encourage you to apply and be part of our team dedicated to continuous improvement and innovation in data platform architecture.,
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