Data Modeling Jobs in Chennai

Position: Data Scientist Experience: 2+ Years Type: Full-time Location: Chennai About the Role As a Data Scientist at FinnUp, you will transform raw data into actionable insights that drive strategic decisions. You will work with complex datasets, build predictive models, and collaborate closely with cross-functional teams. Your expertise in analytics engineering, combined with your proficiency in Python especially pandas data frames and dictionaries will be critical in optimizing data workflows and delivering impactful results. Key Responsibilities Analyze large, complex datasets to extract meaningful insights that support business decision-making. Develop, implement, and maintain predictive models and machine learning algorithms to solve key business problems. Use pandas extensively for data manipulation, analysis, and visualization. Work closely with product, marketing, and business teams to understand requirements and provide data-driven solutions. Design and implement scalable data pipelines and ELT processes to ensure data integrity and accuracy. Create insightful dashboards and reports using Metabase to communicate findings to stakeholders. Stay current with the latest trends, tools, and advancements in data science, AI, and analytics engineering. Required Qualifications Bachelor s or Master s degree in Computer Science, Statistics, Mathematics, or related field. 2-3 years of experience as a Data Scientist or in a similar analytical role. Strong proficiency in Python with deep experience in pandas, dictionaries, and other core data structures. Experience with data visualization tools, especially Metabase. Solid understanding of statistical analysis and machine learning methods. Ability to write efficient SQL queries for data extraction and manipulation. Excellent problem-solving skills with high attention to detail. Strong communication and collaboration skills. Preferred Qualifications Hands-on experience building and deploying machine learning models in production environments. Familiarity with cloud platforms such as AWS or Google Cloud. Knowledge of additional programming languages like R or Julia. Experience with other data visualization tools and libraries. Competitive salary and benefits package. Opportunities for professional growth and skill development. A collaborative, innovative, and supportive work environment. Qualification : Bachelors or Masters degree in Computer Science, Statistics, Mathematics, or related field

Position: Senior Data Conversion Specialist Location: Chennai Department: Publishing Services Job Type: Full-time Industry: E-Publishing About Us At Kriyadocs , we ve partnered with prestigious publishing houses around the world for over 15 years, delivering world-class digital and print content. By leveraging cutting-edge technology, streamlined processes, and deep domain expertise, we simplify publishing workflows from authoring to distribution. Our peer review and production platforms are complemented by services like copyediting, typesetting, and project & author management. Our mission is to create outstanding experiences for authors, publishers, and employees through innovation and technology, helping bring authors work to life and share it with the world. We re driven by a passion for customer-first solutions, and we empower our team to take on challenges, exchange knowledge, and enrich processes across the publishing ecosystem. What It s Like to Work Here We re a fast-growing team of smart, enthusiastic individuals with a can-do attitude. We believe in: Customer-First: We put our customers at the heart of everything we do. Continuous Learning: We embrace innovation and encourage growth. Collaboration: We work as a team, solving challenges together. If you're looking for a place where you can make a real impact, come join us! Role Overview We re looking for an experienced Senior Data Conversion Specialist to join our dynamic team. You ll be responsible for converting content into various formats, ensuring high-quality deliverables while adhering to tight deadlines. Your role involves working with XML, digital technologies, and conversion tools, while collaborating with internal teams and clients to resolve issues and meet project goals. Key Responsibilities Meet daily benchmarks and ensure timely project delivery. Ensure there are no escalations or complaints from internal or external stakeholders. Maintain accurate project records and documentation. Communicate product-related issues with detailed information and improvement suggestions. Use appropriate tools to ensure the quality of delivered content. Deliver final files to clients on specified platforms in a timely manner. Adhere to client Service Level Agreements (SLAs). Evaluate and onboard freelancers/vendors as needed. Study and understand client requirements, create instruction documents, and produce conversion samples. Analyze customer requirements to define tool requirements and document for automation. Work independently or in a team to meet tight deadlines. Skills & Experience Strong knowledge of XML, including both book and journal XML formats. Hands-on experience working with DTD, MathML, and XML editors (Epsilon, XML Exchanger, Oxygen XML, Notepad++, etc.). Familiarity with digital technologies such as XPath, XSLT, Schema, and ePub. Experience with third-party deliverables like PubMed, PMC, Ingenta, HighWire, Atypon, and Crossref. Excellent communication, problem-solving, and analytical skills. Strong attention to detail, ability to maintain quality under pressure, and a proactive learning attitude. Eligibility Criteria Role: Senior Data Conversion Specialist Location: Chennai Experience: 5+ years of related experience in data conversion or a similar field. Qualification: Bachelor's degree preferred. Equivalent years of experience may be considered in lieu of a degree. Qualification : Bachelor's degree preferred

Senior Data Scientist AI/ML Location: Chennai About the Team Join the ZF Center of Excellence (COE) team, where we translate complex AI, Machine Learning (ML), Deep Learning (DL), and Reinforcement Learning (RL) concepts into impactful solutions. Our team communicates cutting-edge research insights to both technical and non-technical audiences, including presentations at conferences and publications in academic journals. What to Expect in this Role Conduct advanced research to develop innovative AI/ML methodologies, with a focus on DL and RL techniques. Design and execute experiments to validate new approaches and benchmark machine learning algorithms. Analyze complex datasets to discover hidden patterns that drive AI innovation. Stay current with the latest advancements in algorithms, tools, and theoretical frameworks, exploring areas such as model interpretability and efficient deep learning training. Prototype and evaluate advanced models like CNNs, RNNs, and other deep learning architectures. Develop foundational algorithms and frameworks applicable across diverse machine learning challenges. Focus on enhancing model efficiency, reducing bias, and improving explainability. Document research methods, experiments, and theoretical contributions to facilitate knowledge sharing. Shape the team s long-term research vision and strategic goals. Candidate Profile Master s degree in Mathematics, Computer Science, or related fields; PhD is a strong plus. 8+ years of research and development experience with deep knowledge of data structures and algorithms. 5+ years experience deploying ML models in production environments. Proficient with ML frameworks such as TensorFlow, PyTorch, or scikit-learn. Experience with distributed computing and large-scale data processing systems. Strong communication and teamwork skills. Experience contributing to invention disclosures and intellectual property processes. Proven publication record in leading machine learning conferences or journals. Innovative Environment: Work at the forefront of technology with a culture that fosters creativity and continuous growth. Diverse & Inclusive Culture: Thrive in an environment that values diversity, equity, and mutual respect. Career Development: Benefit from extensive training, clear advancement paths, and global project opportunities. Global Presence: Collaborate with international teams and contribute to world-class driveline and chassis technologies. Sustainability Commitment: Play a role in eco-friendly initiatives and reducing environmental impact. Employee Well-being: Enjoy health and wellness programs, flexible work options, and a supportive work-life balance. Join Us Take your AI/ML expertise to the next level with ZF. Apply now for the Senior Data Scientist AI/ML role and contribute to shaping the future of mobility! Our Commitment to Diversity, Equity & Inclusion (DEI) At ZF, we are dedicated to building a culture of inclusion where diversity is celebrated. We work to remove barriers so every employee can thrive and contribute to our shared legacy of innovation and excellence. Qualification : Masters degree in Mathematics, Computer Science, or related fields; PhD is a strong plus

Job Title: Data Engineer Location: Chennai (Work from Office) Job Type: Full-time Experience: 2 to 4 years Job Description Blackstraw Technologies Pvt Ltd is seeking a skilled Data Engineer to join our dynamic team. You will play a crucial role in transforming raw data into actionable insights by designing and maintaining robust data pipelines and systems. Your work will ensure alignment between data infrastructure and business goals, helping to drive efficiency and scalability. You will leverage your analytical skills and proficiency in various programming languages to integrate, process, and optimize data from diverse sources. You will also collaborate closely with data scientists and end-users to support data-driven decision-making. Key Responsibilities Design, build, and integrate data pipelines from multiple sources for analytics and operational purposes. Perform data integration and troubleshoot production and development issues. Develop, automate, and optimize ETL pipelines and workflows. Work with big data technologies including Hive, Spark, and Hadoop; optimize performance for large-scale data processing. Write and maintain efficient Spark/PySpark or Spark/Scala programs. Utilize strong SQL skills for querying and database design. Develop shell scripts (Unix/Linux) to automate data processing tasks. Collaborate with data scientists and various business teams to understand and fulfill data needs. Maintain and deploy ETL code following Agile methodologies. Handle service delivery tickets and provide support related to ETL tools. Participate in root cause analysis and problem resolution for data pipeline issues. Required Skills & Qualifications Bachelor s degree in Computer Science, Information Technology, or related field; Master s degree is a plus. 2 to 4 years of hands-on experience in data engineering or related roles. Strong expertise in ETL development and data integration tools. Proficiency in Spark (PySpark or Scala), Hive, and Hadoop ecosystem. Advanced SQL skills and experience with relational database management systems (RDBMS). Experience with shell scripting in Unix/Linux environments. Familiarity with Java, Python, or Scala programming languages is desirable. Knowledge of Cloud platforms (Azure preferred) is a plus. In-depth understanding of Retail domain data and business processes is advantageous. Excellent analytical, organizational, and communication skills. Experience with Agile project management and teamwork. About Blackstraw Technologies Pvt Ltd Founded in 2015 and fully operational since 2018, Blackstraw Technologies is a global software products and services company specializing in Artificial Intelligence (AI) and Machine Learning (ML) solutions. Our AI platform accelerates data labeling, model training, and deployment across cloud and on-premise environments. Our 250+ member team boasts over 900 years of combined experience, focusing on areas such as computer vision, natural language processing, and deep learning annotation tools. We enable enterprises worldwide to rapidly adopt AI in a cost-effective, plug-and-play manner. Headquartered in Florida, USA, Blackstraw has operations across Canada, the USA, and India. Qualification : Bachelors degree in Computer Science, Information Technology, or related field. Masters degree is a plus.

Role: Assistant Manager Data Science Location: Chennai, Tamil Nadu, India Experience: 6 8 Years Employment Type: Permanent, Full-Time About the Role We are hiring an experienced Assistant Manager Data Science to join our dynamic analytics team in Chennai. This role requires 6 8 years of hands-on experience in data science, applied analytics, machine learning (ML), and statistical modeling. The ideal candidate will have a strong analytical mindset, excellent problem-solving abilities, and the ability to transform data into strategic business insights. Key Responsibilities Design and develop machine learning models and data analytics frameworks to solve real-world business problems. Apply statistical techniques to analyze structured and unstructured data. Write complex and optimized SQL queries to manage and extract data from large datasets. Build insightful and interactive dashboards and visualizations using tools like Tableau. Collaborate with cross-functional stakeholders to understand requirements and deliver data-driven solutions. Translate business challenges into analytical problems and structure approaches for resolution. Keep up-to-date with the latest trends in data science, artificial intelligence (AI), ML, and data visualization. Required Skills & Qualifications 5+ years of experience in data science, applied analytics, or machine learning. Strong command of Advanced SQL and hands-on experience with large-scale datasets. Proficient in Python for ML and statistical analysis. Expertise in data visualization, preferably with Tableau. Solid understanding of statistical methods, predictive modeling, and data interpretation. Excellent communication and stakeholder management skills. Analytical, detail-oriented, and innovative approach to problem-solving. Work on impactful and high-visibility data science projects. Be part of a collaborative and forward-thinking analytics team. Gain exposure to cutting-edge technologies and business strategies. Competitive salary and benefits package.

Backend Developer SDE 3 Location: Chennai (Work from Office) Job Type: Full-Time Experience: 5+ Years Job Summary We are seeking an experienced Software Development Engineer Level 3 (SDE 3) to lead the backend development of robust web and mobile applications. This role is ideal for a technical leader with a strong grasp of backend architecture, microservices, and team mentoring. You will play a pivotal role in delivering high-quality, scalable solutions and driving a culture of technical excellence. Key Responsibilities Architect and implement server-side solutions for web and mobile applications using Python (Django/Flask). Lead the backend team in developing high-performing, enterprise-grade software. Convert user stories into scalable and maintainable software components. Proactively identify and resolve issues in backend frameworks and architecture. Establish and drive Agile best practices within the team. Deliver scalable solutions in both monolithic and microservices architectures. Participate in hiring and mentoring SDE 1, SDE 2, and Junior Developers. Collaborate with cross-functional teams including QA, frontend, and DevOps. Perform regular code reviews and ensure best practices in unit testing, code coverage, and documentation. Lead design discussions and own critical architectural decisions. Act as a thought leader in technical strategy, code quality, and team growth. Ensure secure coding practices and application security compliance. Maintain technical documentation and contribute to the internal knowledge base. Required Qualifications Bachelor s or Master s degree in Computer Science, Engineering, or a related field. 5+ years of experience in backend development with a focus on Python/Django. Proven leadership in delivering production-grade software systems. Experience in RESTful API design, data modeling, and backend architecture. Knowledge of web application security principles and secure coding practices. Proficient in RDBMS (e.g., MySQL, PostgreSQL) and Git-based collaboration workflows. Familiarity with frontend frameworks such as Angular or React.js is a plus. Strong analytical thinking, debugging, and problem-solving capabilities. Excellent communication and team collaboration skills. Strong understanding of CI/CD, unit testing frameworks, and code deployment workflows. Preferred Skills Experience managing or mentoring a technical team. Familiarity with containerization (Docker) and DevOps principles. Knowledge of emerging technologies and enthusiasm for innovation. Experience with hiring processes and technical interviews. Ability to work independently and take ownership of critical technical decisions. Join us in building cutting-edge software that impacts industries at scale. Lead a talented team, make bold decisions, and shape the future of backend engineering. Qualification : Bachelors or Masters degree in Computer Science, Engineering, or a related field.

Experience: 3 to 6 years Employment Type: Full-time Skill Sets: Java, Spring Boot, Microservices, Vert.X, GraphQL, Java Framework, MongoDB, PostgreSQL, MySQL, Redis, ElasticSearch, CI/CD, Testing Job Responsibilities: Scalable Architecture: Lead the design and development of scalable architecture to ensure efficient performance and reliability of web and mobile applications. Informed Decisions: Make informed architectural decisions that align with both current and future business needs. Security & Privacy: Ensure security and privacy considerations are integrated into the selection of solutions and coding of back-end services and API endpoints. Code Quality & High Standards: Uphold high standards of code quality through regular reviews, maintaining best practices in programming. Robust Testing: Implement robust testing strategies to ensure code reliability and performance. Backend Development: Design, develop, and deploy backend services and APIs using VERT.X, SPRING BOOT Java and AWS technologies. Experience with Redis, Memcache, EHCache, Hazelcast, Aerospike. NoSQL Expertise: Effective schema design and data modeling for NoSQL databases, ideally MongoDB, including robust indexing strategies. Technical Debt Management: Monitor and control technical debt to ensure it does not compromise application scalability or performance. Task Planning: Collaborate with the PM and BA to plan and delegate tasks efficiently among backend team members, ensuring clear objectives and timelines. User Requirements: Support the PM, BA team in identifying and analyzing user requirements to ensure development aligns with user expectations and project scope.

Description: Database Administrator (DBA) About Gartner IT: Join a world-class team of skilled engineers who build creative digital solutions to support our colleagues and clients. We make a broad organizational impact by delivering cutting-edge technology solutions that power Gartner. Gartner IT values its culture of nonstop innovation, an outcome-driven approach to success, and the notion that great ideas can come from anyone on the team. About the role: The DBA will provide technical expertise in designing, managing, and administering databases in Cloud (AWS & Azure) and on-premises to meet the shifting organizational demands. You will engage in modernization activities to migrate databases to the cloud and will be part of automation efforts to enhance provisioning and operations of all types of datastores. What you will do: Ensure availability of critical database systems hosted on cloud and On-Premise. Manage the implementation, maintenance and enforcement of effective industry standard processes and policies across environments. Requirement gathering, end to end planning and implementation of projects related to data platform. Involved in the design process with DBA, Apps Dev, and other technical teams to implement solutions. Liaise with managers and staff of application and development teams to ensure consistent application of the tactical and strategic directions of Gartner. Meeting and exceeding SLA's/OLA's. Prepared for advancing technology. Support the tactical and strategic directions for Gartner's database infrastructure. Provide status reports to the higher management. Maintain Service Levels and department goals for problem resolution. Effective patch management and upgrade management. Works closely with other Cloud and Data Center Management staff to ensure departmental consistency. What you will need: Strong IT professional with 4+ yrs of experience in database management. The candidate should have strong qualitative and quantitative problem-solving skills along with high on ownership and accountability. Must have: 2-4 years of relevant hands-on experience in Postgres database management. Should have conceptual knowledge of AWS / Azure. Willingness to learn open source / other databases technologies. Open to learn DevOps tools for day-to-day operations. Who you are: Motivated, high-potential performer, with demonstrated ability to influence and lead. Strong communicator with excellent interpersonal skills. Able to solve complex problems and successfully manage ambiguity and unexpected change. Teachable and embracing of best practices and feedback as a means of continuous improvement. Consistently high achiever marked by perseverance, humility and a positive outlook in the face of challenges. Don t meet every single requirement? We encourage you to apply anyway. You might just be the right candidate for this, or other roles.

Java Developer Experience: 3+ Years Job Type: Full-time About the Role We are seeking a talented Java Developer with 3+ years of experience in Java web application development to join our dynamic team. The ideal candidate will have expertise in Core Java, Spring Framework, and modern web technologies. You will be responsible for hands-on development of Java-based applications, working with frameworks such as Spring Boot and Spring MVC, and building robust web services. The role will also involve collaborating in an agile environment and ensuring the quality and scalability of applications. Technical Skills Core Java (JDK 11+) and J2EE (Java EE8) Spring Framework 5+: Core, MVC, Spring Boot, Spring Batch Vert.x 3.5.1 and JavaFx (OpenJFX 11) Databases: SQL, PostgreSQL, MySQL, H2DB Web Servers: Tomcat, Apache Development Tools: Spring Tool Suite 5, Eclipse, Maven, SVN/GIT, Nexus, Jenkins, Gradle Frontend: HTML, CSS, JavaScript, jQuery, Vue.js, Kendo UI Qualifications & Experience 3+ years of experience in Java web application development. Proven experience working with Spring Framework (Spring MVC, Spring Boot). Strong knowledge of web technologies including HTML, CSS, JavaScript, and jQuery. Experience in building RESTful web services using Spring Boot, Spring WS, etc. Solid understanding of J2EE architecture, JVM internals, and design patterns. Good exposure to SQL, PostgreSQL, MySQL, and other databases. Strong knowledge of build and deployment processes using CI/CD tools like Jenkins. Experience working in an Agile environment and across the full development lifecycle of a project. Good communication and presentation skills. Role & Responsibilities Develop and maintain Spring MVC and Spring Boot based JEE applications. Perform server-side development with Java and J2EE, focusing on scalability and performance. Work on client-side development using HTML, CSS, JavaScript, and frameworks like jQuery and Angular (v8 and above). Build and maintain RESTful services and APIs with Spring Boot and Spring WS. Utilize JVM internals and J2EE architecture/design patterns for scalable application design. Perform data modeling, object-oriented design, and integration using SOA principles. Work with version control systems like Git for code management and deployment processes. Participate in the build and deployment processes using CI/CD tools like Jenkins or similar. Work within a fast-paced Agile environment to deliver high-quality software solutions. Optionally, build automated testing suites using tools like Selenium and Galen. Experience with cloud deployment, particularly in Azure or AWS environments, is preferred. Competitive salary and benefits package. Opportunities for career growth and professional development. A dynamic and collaborative work environment.

Job Overview Senior Engineer - Data Engineering in the Automotive domain with 3-7 years of experience Extensive expertise in pyspark, hadoop, and gcp for designing and implementing data pipelines Proficient in tensorflow, python, and SQL for automation, data quality, and optimization Skilled in big data technologies like numpy, pandas, and data manipulation Responsible for architecting scalable data pipelines, data transformation, performance optimization, monitoring, and collaboration with cross-functional teams Bachelor's degree in Computer Science or equivalent; preferred certifications include Professional Data Engineer and Google Cloud Certified - Professional Data Engineer Good to have experience with CI/CD practices, data processing libraries, data quality, Pub/Sub architectures, and Tekton pipelines management Roles & Responsibilities Architect and Develop Data Pipelines: Lead the design, development, and maintenance of scalable and efficient data pipelines using GCP services like Pub/Sub for real-time data ingestion and BigQuery for storage and analysis. Data Transformation and Processing: Implement data transformation processes to cleanse, enrich, and aggregate raw data from diverse sources, ensuring data quality and consistency. Performance Optimization: Fine-tune data pipelines and queries to enhance performance, reduce latency, and ensure timely data access for stakeholders. Monitoring and Maintenance: Implement monitoring solutions for tracking pipeline performance, addressing issues proactively, and conducting regular maintenance tasks to uphold data infrastructure reliability. Collaboration: Collaborate with Data Scientists, Software Engineers, and Business Analysts to understand data requirements and provide technical solutions to meet business needs. Documentation: Document data pipelines, processes, and best practices to facilitate knowledge sharing and maintain a comprehensive understanding of data architecture. Our ideal candidate Extensive knowledge and proficiency in pyspark, hadoop, and gcp Advanced skills in designing and implementing data pipelines, data modeling, and data warehousing solutions Proficiency in tensorflow and python for automation scripts and data quality Strong SQL skills for querying and optimizing data warehouse operations Expertise in big data technologies like numpy, pandas, and libraries for data manipulation and analysis Monitoring data processes, utilizing GCP services, and implementing data engineering best practices Prioritizing skills in GCP, BigQuery, Python, Data Modeling, SQL, and Data Warehousing Bachelor of Technology (B.Tech) or Bachelor of Engineering (B.E) in Computer Science or Information Technology, or a Master of Technology (M.Tech) in Data Science or Big Data Analytics Certifications such as Professional Data Engineer and Google Cloud Certified - Professional Data Engineer preferred Company overview Altimetrik delivers outcomes for our clients by rapidly enabling digital business & culture and infuse speed and agility into enterprise technology and connected solutions. We are practitioners of end-to-end business and technology transformation. We tap into an organization s technology, people, and assets to fuel fast, meaningful results for global enterprise customers across financial services, payments, retail, automotive, healthcare, manufacturing, and other industries. Founded in 2012 and with offices across the globe, Altimetrik makes industries, leaders and Fortune 500 companies more agile, empowered and successful.Altimetrik helps get companies get unstuck . We re a technology company that lives organizations a process and context to solve problems in unconventional ways. We re a catalyst for organization s talent and technology, helping teams push boundaries and challenge traditional approaches. We make delivery more bold, efficient, collaborative and even more enjoyable. Qualification : Bachelor of Technology (B.Tech) or Bachelor of Engineering (B.E) in Computer Science or Information Technology, or a Master of Technology (M.Tech) in Data Science or Big Data Analytics

Job Overview Engineer - DevOps in the Electronics domain with 3-7 years of experience Design and implement CI/CD pipelines using AWS services Ensure cloud infrastructure security with best practices in AWS IAM and Security Hub Utilize MongoDB for data storage and management Automate infrastructure provisioning with Python and Bash Optimize system performance and scalability using AWS services Collaborate on API integration for seamless communication Conduct regular security assessments and implement measures Stay updated on industry trends Mentor junior team members AWS Certified DevOps Engineer and Certified Kubernetes Administrator (CKA) certifications preferred Bachelor of Technology in Computer Science Engineering or Information Technology or Master of Computer Applications required Experience with AWS IAM, S3, NACL, Security Hub, and API integration preferred Roles & Responsibilities Design and implement continuous integration and continuous deployment (CI/CD) pipelines using AWS services like AWS CodePipeline and AWS CodeBuild. Ensure the security and integrity of cloud infrastructure by implementing best practices in AWS IAM, AWS Security Hub, and AWS NACL. Utilize MongoDB for data storage and management within the DevOps environment. Automate infrastructure provisioning and configuration using Python and Bash scripting. Monitor and optimize system performance, including scalability and reliability, through effective use of AWS services. Collaborate with cross-functional teams to ensure smooth integration of APIs and services. Conduct regular security assessments and implement necessary measures to strengthen cloud security. Stay updated on the latest industry trends in DevOps, cloud security, and AWS services to drive continuous improvement in processes and practices. Mentor junior team members and provide technical guidance on DevOps practices and tools. Our ideal candidate Extensive experience in AWS, Security, MongoDB, Python, and Bash Deep understanding of each primary skill AWS proficiency for cloud infrastructure management Advanced knowledge in deploying scalable and fault-tolerant applications Security expertise for implementing robust security measures Conducting vulnerability assessments and ensuring compliance with industry standards Proficiency in MongoDB for efficient database management, data modeling, and performance optimization Python skills for automation, scripting, and data manipulation tasks Advanced level of programming proficiency Bash proficiency for shell scripting, automation, and system administration tasks Intermediate to advanced level of expertise Designing and implementing secure, scalable cloud solutions using AWS services Developing and optimizing MongoDB databases Automating operational tasks using Python and Bash scripts Bachelor of Technology (B.Tech) in Computer Science Engineering or Information Technology or a Master of Computer Applications (MCA) required AWS Certified DevOps Engineer and Certified Kubernetes Administrator (CKA) certifications preferred Demonstrating expertise in cloud infrastructure management and container orchestration, respectively Company overview Altimetrik delivers outcomes for our clients by rapidly enabling digital business & culture and infuse speed and agility into enterprise technology and connected solutions. We are practitioners of end-to-end business and technology transformation. We tap into an organization s technology, people, and assets to fuel fast, meaningful results for global enterprise customers across financial services, payments, retail, automotive, healthcare, manufacturing, and other industries. Founded in 2012 and with offices across the globe, Altimetrik makes industries, leaders and Fortune 500 companies more agile, empowered and successful.Altimetrik helps get companies get unstuck . We re a technology company that lives organizations a process and context to solve problems in unconventional ways. We re a catalyst for organization s talent and technology, helping teams push boundaries and challenge traditional approaches. We make delivery more bold, efficient, collaborative and even more enjoyable. Qualification : Bachelor of Technology (B.Tech) in Computer Science Engineering or Information Technology or a Master of Computer Applications (MCA) required

Technical Skill Sets: Core Java & J2EE: Proficient in Core Java (JDK 11+) and Java EE (J2EE), with expertise in Java EE 8. Spring Framework: Strong experience with Spring Framework 5+ including Core, MVC, Spring Boot, and Spring Batch for developing robust, scalable applications. Vert.x & JavaFx: Experience working with Vert.x 3.5.1 and JavaFx (OpenJFX 11) for building reactive and desktop applications. Databases: Proficient in working with relational databases such as SQL, PostgreSQL, MySQL, and H2DB for data storage and management. Web Servers: Hands-on experience with Apache Tomcat and Apache for deploying web applications. Development Tools: Familiarity with development tools such as Spring Tool Suite 5, Eclipse, Maven, SVN/GIT, Nexus, Jenkins, and Gradle. Frontend Technologies: Proficient in frontend technologies including HTML, CSS, JavaScript, jQuery, Vue.js, and Kendo UI for building interactive user interfaces. Qualifications & Experience: Experience in Java Web Development: At least 3 years of experience in Java web application development, focusing on server-side and client-side development. Web Development Expertise: Strong experience in web development using Java, Spring, and related web technologies. Project Exposure: Extensive exposure to both development and maintenance projects in a web-based environment. Communication Skills: Excellent communication and presentation skills, with the ability to articulate complex technical concepts clearly. Role & Responsibilities: Hands-on Development: Lead development efforts with hands-on coding experience in Java (preferably Java 8), primarily focusing on Spring MVC and Spring Boot-based JEE applications deployed on Tomcat or similar servers. Frontend Development: Expertise in server-client-side development using HTML, JavaScript, CSS, and frameworks like jQuery and Angular (version 8 and above). Web Technologies: Proficient in Java/J2EE, JSP, JavaScript, HTML, CSS, XML, SOAP/REST, JSON, jQuery, and Git for building web applications. Building RESTful Services: Hands-on experience building RESTful services using Spring Boot, Spring Web Services (Spring WS), and other related technologies. JVM & J2EE Knowledge: Excellent knowledge of JVM internals, J2EE architecture/design patterns, Object-Oriented Design methodologies, SOA (Service-Oriented Architecture), and data modeling techniques. CI/CD & Deployment: Experience with continuous integration/continuous deployment (CI/CD) processes using tools like Jenkins or similar. Agile Environment: Demonstrable experience working in a fast-paced, agile development environment, contributing to the full development lifecycle. Testing & Automation: Experience with building automated testing suites using tools such as Selenium and Galen (preferred but not required). Cloud Deployment: Experience with cloud-based deployments, particularly on platforms such as Azure and AWS.

We are seeking a Senior Data Scientist with experience in various data science techniques, tools, and cloud providers. The ideal candidate will be responsible for designing, developing, and implementing cutting-edge data science models and machine learning algorithms to tackle complex problems in various domains. You will work closely with cross-functional teams to understand business requirements, identify opportunities for applying machine learning/deep learning/AI techniques, and deliver innovative solutions that push the boundaries of AI technology. This role requires a strong background in machine learning, deep learning, and computer vision, along with a passion for exploring and experimenting with state-of-the-art models. Responsibilities Design, develop, and implement novel data science models and machine learning algorithms that solve complex problems. This includes architectural design, data preprocessing, training, optimization, and evaluation of models Collaborate with data engineers and data scientists to collect, pre-process, and curate datasets suitable for training Train and fine-tune machine learning/deep learning models using large-scale datasets and distributed computing frameworks. Optimize models for performance, efficiency, and scalability Design and conduct experiments to evaluate the performance, robustness, and generalization of machine learning/deep learning models Use appropriate metrics and statistical analysis to measure and interpret results Prepare technical documentation, including model architecture, implementation details, and experimental results. Communicate findings, insights, and recommendations to both technical and non-technical stakeholders Requirements Bachelor s or master s degree in computer science, Data Science, Statistics, or related field 5 to 8 years of solid foundation in Machine Learning, Deep Learning, Computer Vision, NLP Proficiency in Python Experience Deep Learning frameworks like Tensorflow, Pytorch, Keras, Jax, etc Experience with pandas, scikit-learn, matplotlib, spacy, statsmodel, etc General understanding of data structures, algorithms, multi-threaded programming, and distributed computing concepts Knowledge of statistical and algorithmic models as well as of fundamental mathematical concepts, such as linear algebra and probability Familiarity with cloud services (AWS, Google Cloud, Azure) Excellent written and verbal communication skills Nice to have Proficiency in Docker and Kubernetes We offer Opportunity to work on technical challenges that may impact across geographies Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications Opportunity to share your ideas on international platforms Sponsored Tech Talks & Hackathons Unlimited access to LinkedIn learning solutions Possibility to relocate to any EPAM office for short and long-term projects Focused individual development Benefit package: Health benefits Retirement benefits Paid time off Flexible benefits Forums to explore beyond work passion (CSR, photography, painting, sports, etc.) Qualification : Bachelors or masters degree in computer science, Data Science, Statistics, or related field

We are seeking a highly experienced Senior Big Data Software Engineer to join our dynamic team and tackle challenging projects that will enhance your skills and career. As a Senior Engineer, your contributions will be critical in designing and implementing Big Data solutions across a variety of projects. The ideal candidate will possess deep experience in Big Data and associated technologies, with a strong emphasis on Apache Spark, Python, Azure and AWS. Technologies Hadoop Hive Responsibilities Develop and execute end-to-end Big Data solutions to meet complex business needs Work collaboratively with interdisciplinary teams to comprehend project needs and deliver superior software solutions Apply your expertise in Apache Spark, Python, Azure and AWS to create scalable and efficient data processing systems Maintain and enhance the performance, security, and scalability of Big Data applications Keep abreast of industry trends and technological advancements to foster continuous improvement in our development practices Requirements 5-8 years of direct experience in Big Data and related technologies Advanced knowledge and hands-on experience with Apache Spark High-level proficiency with Hadoop and Hive Proficiency in Python Prior experience with AWS and Azure native Cloud data services We offer Opportunity to work on technical challenges that may impact across geographies Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications Opportunity to share your ideas on international platforms Sponsored Tech Talks & Hackathons Unlimited access to LinkedIn learning solutions Possibility to relocate to any EPAM office for short and long-term projects Focused individual development Benefit package: Health benefits Retirement benefits Paid time off Flexible benefits Forums to explore beyond work passion (CSR, photography, painting, sports, etc.) Qualification : 5-8 years of direct experience in Big Data and related technologies

About Arcadia: Arcadia is at the forefront of the clean energy revolution, offering innovative software and APIs to help fight the climate crisis. Since its inception in 2014, Arcadia has been on a mission to break the fossil fuel monopoly and unlock decarbonization by connecting consumers and businesses to high-quality clean energy options. With the launch of the Arcadia Platform, an industry-defining SaaS platform, Arcadia is accelerating the transformation from an analog energy system to a digitized network. Arcadia s impact continues to grow, with a $1B valuation and over $500M in capital raised. Role Overview: As a Customer Service Representative at Arcadia, you will play a pivotal role in delivering exceptional customer support. This position requires someone with a passion for technology and clean energy, as you will engage with customers, troubleshoot issues, and help navigate them through energy solutions. If you thrive in a fast-paced environment and enjoy solving complex problems, this role is an ideal fit. Key Responsibilities: Provide outstanding customer support by answering queries and resolving issues via phone and online platforms. Investigate and troubleshoot issues, especially related to utility company accounts and clean energy options. Make phone calls to US utility companies to enroll new accounts or fix broken credentials. Conduct data analysis in MS Excel/Google Sheets to monitor customer accounts. Collaborate with engineers and other team members to address customer issues and improve product offerings. Ensure all customer issues are addressed in a timely, accurate, and efficient manner. Required Qualifications: Fluent English speaker (Level C1 or higher), with strong verbal and written communication skills. 1-2 years of customer service experience, preferably supporting customers via phone. Strong attention to detail and problem-solving skills, with good investigative instincts. Basic proficiency in MS Excel/Google Sheets for data analysis. Availability to work from 7 am - 4 pm ET. What Arcadia Offers: Competitive compensation based on market standards. Hybrid work model with a remote-first policy. Flexible leave policy to accommodate personal needs. Comprehensive medical insurance (1+5 family members), accident coverage, and life insurance. Annual performance cycle with opportunities for rewards and recognition. Quarterly team engagement activities and learning and development programs. A supportive engineering culture that values diversity, empathy, teamwork, trust, and efficiency. Why Arcadia? Arcadia believes in diversity and individuality, where unique perspectives are valued. If you're passionate about clean energy and want to be part of a team working toward a decarbonized energy grid, Arcadia is the place for you. We foster an inclusive environment where every team member has the opportunity to grow and make a tangible impact. How to Apply: If you are eager to contribute to a clean energy future and enjoy engaging with cutting-edge technology, apply to join Arcadia s team. We re excited to learn how you can help us shape the future of energy.

About Arcadia: Arcadia is a leading technology company focused on solving the climate crisis by empowering energy innovators and consumers. We re revolutionizing the energy industry with our software and APIs, creating access to the data and clean energy necessary for building a decarbonized energy grid. Since our founding in 2014, Arcadia has been working to break the fossil fuel monopoly and offer high-quality clean energy options to consumers and small businesses. Today, we ve launched Arcadia Platform, a SaaS product that is transforming the energy industry into a data-driven network. With a $1.5B valuation and $500M raised, Arcadia is scaling its operations to solve one of the world s most significant challenges. We re building a diverse team of individuals who are passionate about making a difference. Join us in shaping a clean energy future! What We re Looking For: We are seeking a thoughtful, empathetic, and driven Engineering Manager to lead and grow our team of four engineers responsible for building data products for Arcadia s customers and internal stakeholders. You will guide the team to solve complex data engineering and analytics problems, while ensuring their professional growth and development. You will also work closely with the Director of Data and Analytics Engineering to develop roadmaps and strategies that align with the business needs. The role is based in Chennai, India, with a hybrid remote-first approach, and offers the opportunity to shape a world-class data ecosystem in a fast-paced, high-growth environment. What You'll Do: Empower and guide engineers: Lead a team of engineers in solving complex data problems within the energy sector. Work with cross-functional teams: Collaborate with Product, Design, and Marketing teams to define roadmaps and strategies for our Platform business. Drive technical excellence: Contribute to technical discussions and ensure that the team is building scalable data pipelines and assets. Mentor and develop team members: Provide ongoing mentorship, aligning team members skills, interests, and career aspirations with business needs. Facilitate regular feedback and performance discussions. Lead by example: Foster a culture of empathy and humanity while delivering results in a fast-paced environment. Align stakeholder expectations: Represent engineering concerns to ensure alignment with business priorities and goals. What Will Help You Succeed: Must-Haves: 6+ years of experience, with 2+ years in a leadership/management role on a data engineering or analytics engineering team. Deep understanding of modern data and analytics engineering practices, with the ability to contribute hands-on when necessary. Experience with Python (in a data orchestration context) and SQL (in a data modeling context). A proven track record of mentoring and growing direct reports through feedback, goal-setting, and career development. Ability to navigate the relationship between Engineering, Product, and Design teams. Nice-to-Haves: Experience with tools and technologies in Arcadia s data stack: Snowflake dbt (or similar Analytics Engineering tools) Prefect (Airflow experience is a plus) AWS, Docker, Kubernetes (basic familiarity) GitHub and GitHub Actions Experience with scalability challenges at fast-growing startups. Familiarity with automating internal processes to improve operational efficiency. Experience with roadmap development and execution. Background in the energy sector or related fields. Benefits: Competitive compensation based on market standards. Hybrid remote-first model, promoting flexibility in work arrangements. Flexible leave policy to support work-life balance. Medical insurance for you and your family (up to 6 members), including accident and life insurance. Annual performance cycle with rewards and recognition. Quarterly team engagement activities to enhance collaboration and team spirit. Learning & Development programs to support continuous growth and skill-building. A supportive engineering culture that emphasizes diversity, empathy, teamwork, trust, and efficiency. Why Arcadia? At Arcadia, we celebrate diversity and believe that unique perspectives are essential to our collective success. We are committed to equal employment opportunities and welcome applicants from all qualified candidates eligible to work in India, regardless of race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, or protected veteran status. We are committed to providing reasonable accommodations for individuals with disabilities during the application process, interviews, or employment. Please contact us if you require accommodation. How to Apply: If you are excited about building the next-generation data ecosystem and contributing to Arcadia s mission of a clean energy future, we encourage you to apply. We look forward to learning what you will uniquely bring to our team! Qualification : 6+ years of experience, with 2+ years in a leadership/management role on a data engineering or analytics engineering team.

Job Title: Director - Enterprise Head of (ECS) Architecture Career Level - G Introduction to role The Enterprise Head of Enterprise Capabilities & Solutions (ECS) Architecture is responsible for the architecture across the ECS landscape, collaborating with other Heads of Architecture to support AstraZeneca's business and IT strategies. This role involves crafting AZ standards, patterns, and roadmaps, ensuring ECS architectures conform to them. The role partners with key business teams, IT Leadership, and other Heads of Architecture to develop AstraZeneca s Digital and Architectural landscape, aligned with business strategies and visions. Additionally, the role is responsible for key architecture processes such as standards and lifecycle management, drives change across EA, and addresses industry trends in defining AZ s vision. The role also acts as a sponsor or steering group member for multi-functional or enterprise-wide projects. Accountabilities Provide Enterprise Design thinking and support to ECS across the Enterprise, application, and infrastructure domains of architecture. Define the architecture strategy, direction, and standards pertinent to the ECS Segment. Lead the development and execution of Data & Analytics specific architecture capability and strategy. Handle performance and development of a team of Architects across various technology domains to deliver end-to-end architecture solutions. Define architecture strategy and principles, policies, and standards to produce function-specific reference architectures and solutions. Manage relationships with Data & Analytics leadership to influence adoption of enterprise architecture frameworks, standards, and policies. Drive the development of global enterprise standards for the central Architecture & Technology Strategy function. Analyze business data and AI priorities & strategies and translate these into architecture requirements for the enterprise. Act as an authority to the architecture community and the business regarding strategic architecture decisions for ECS. Refine architecture strategies, direction, standards, and patterns as required. Lead the development of Architecture Roadmaps and Blueprints (1-5 Year horizon). Ensure continuous alignment of capabilities with current business priorities and objectives. Chip in to multi-functional decision-making bodies. Act as a sign-off authority for solution and segment architectures as well as architecture blueprints and roadmaps. Champion ECS EA initiatives across IT (and business). Engage and build a network with external architecture authorities to stay updated with the latest trends and technologies in ECS. Act as a strategic architectural advisor for senior IT and Business management. Ensure ECS Architectures align with Global strategies and solutions. Analyze IT industry and market trends to resolve potential impact on the enterprise. Establish partnerships with key ECS technology suppliers. Provide thought leadership and sophisticated technical expertise for enterprise ECS architecture across IT. Drive the continuous development of the Architecture Capability within IT by championing standard process sharing. Partner closely with ECS service/engineering teams in refining architecture patterns, designs, and blueprints. Focus on cost reductions (efficiency). Drive adoption of new technology against the Architecture strategy roadmap (adoption would be the important metric). Manage vendor relationships. Ensure regulatory compliance. Foster team engagement. Essential Skills/Experience Bachelor s degree or equivalent experience in Computer Science or Data Management related field Extensive experience and knowledge of ECS solutions Ability to influence and deliver strategic vision, direction, and planning Blend of data architecture, analysis, and engineering skills Experience in known industry architectural patterns Understanding cloud-based containerization strategies for hybrid cloud environments Knowledge of appropriate data structure and technology based on business use case Experience in using data modeling technologies Desirable Skills/Experience Post-graduate degree in MIS, Data Management Extensive experience in a data architect role with practical examples of designing and providing data engineering blueprints that have been pragmatically implemented Experience in Agile data definition scrums Experience using metadata cataloguing tools Knowledge of Cloud Economics and Forecasting Qualification : Bachelors degree or equivalent experience in Computer Science or Data Management related field

Business Analyst Scrum Master Location: Chennai Employment Type: Full-Time Job Summary We are seeking a dynamic Business Analyst / Scrum Master to join our team in a hybrid role that bridges business needs with Agile execution. This position demands a proactive individual who can effectively gather and analyze requirements while also driving Agile ceremonies and team collaboration. The ideal candidate will enable efficient solution delivery by aligning stakeholders, refining product backlogs, and ensuring adherence to Agile best practices. Key Responsibilities Business Analysis Engage with stakeholders to gather, document, and analyze business and functional requirements Create detailed user stories, process flows, wireframes, and business cases Perform gap analysis and recommend improvements to existing processes or systems Collaborate with development teams to ensure technical solutions align with business objectives Define KPIs and success metrics for evaluating solution effectiveness Scrum Master Responsibilities Lead Agile ceremonies: Daily Stand-ups, Sprint Planning, Sprint Reviews, and Retrospectives Identify and remove impediments to keep teams moving efficiently Work with Product Owners to groom and prioritize the product backlog Track and report sprint progress using burn-down charts, velocity, and other Agile metrics Foster a culture of continuous improvement and Agile maturity Mentor team members on Agile and Scrum principles Required Skills & Qualifications 6 10 years of experience as a Business Analyst and/or Scrum Master Strong knowledge of Agile methodologies (Scrum, Kanban, SAFe) Proficiency in Agile project management tools: Jira, Confluence, Azure DevOps (preferred), or Trello Excellent communication, stakeholder management, and facilitation skills Proven ability to translate business requirements into actionable development tasks Solid understanding of SDLC and business process modeling Familiarity with SQL, data analysis, and tools like MS Excel, MS Word, etc. Scrum Master Certification (CSM, PSM) is a plus Business Analysis Certification (CBAP, CCBA) is a plus Preferred Qualifications Knowledge of DevOps practices and Agile scaling frameworks (e.g., SAFe, LeSS) Experience working in cross-functional Agile teams within fast-paced environments

Job Title: Chief Manager Strategy Location: Chennai Job Type: Full-Time | Permanent Experience Required: 6 to 10 Years Job Purpose: The Chief Manager Strategy will be responsible for formulating and executing long-term business strategies for TVS Credit, with a strong focus on market dynamics, strategic transformation, and M&A integration. The role includes leading high-impact, cross-functional strategic projects, enabling business turnarounds, and supporting new venture initiatives across the organization. Key Responsibilities: Develop and drive long-term strategic plans (5-year horizon) aligned with company goals, along with medium-term (2 3 years) milestones. Analyze industry trends, competitive landscape, and internal performance to define strategic priorities and business opportunities. Lead cross-functional collaboration with Product, Credit, Operations, Technology, Analytics, HR, and external partners to design and execute strategic initiatives. Conduct detailed market assessments in the NBFC sector to drive transformation across business, technology, organization, and regulatory domains. Translate strategic goals into quantifiable and actionable initiatives with measurable outcomes. Monitor global trends, customer behavior, and innovation in adjacent industries to identify disruptive opportunities and best practices. Collaborate with business transformation teams to ideate and implement new business models and ventures. Lead M&A integration efforts for newly acquired companies, ensuring seamless alignment across functions. Drive strategic projects with a horizontal impact across multiple business verticals and product lines. Travel frequently to Gurugram or other locations for M&A integration, stakeholder meetings, and project execution. Required Qualifications & Experience: MBA from a reputed B-School preferred. 5+ years of experience in Corporate Strategy, Strategic Planning, or Long-Range Planning, preferably in Banking/NBFC/Financial Services. Demonstrated experience in M&A integration, corporate transformation, and business modeling. Key Skills & Attributes: Strong strategic and analytical thinking with sound decision-making capability. Financially astute with deep business acumen and understanding of process improvement. Ability to synthesize complex data and convert it into actionable insights. Excellent executive presence and stakeholder management skills. Strong verbal and written communication; capable of presenting to senior leadership and clients. Proactive, self-driven, and results-oriented with the ability to manage ambiguity. Interest in technology trends and their application in business strategy. Excellent project management, prioritization, and cross-functional leadership skills. Ability to work under pressure and drive initiatives to completion in a fast-paced environment. Be a part of an innovative and rapidly growing organization where strategic thinking and impact-driven leadership are at the core. At TVS Credit, you will work on high-visibility projects that shape the future of our business and drive real results. Qualification : MBA from a reputed B-School preferred

Job Title: Chief Manager Credit Department: Credit Location: Chennai Job Type: Full-Time | Permanent Reporting To: Associate Vice President Credit Job Purpose: The Chief Manager Credit will be responsible for developing, implementing, and overseeing credit policies for the Consumer Durable Loans portfolio. This role requires deep expertise in retail lending risk management, scorecard development, and digital credit decisioning, with a strong understanding of consumer behavior and the dynamics of consumer finance within banks or NBFCs. Key Responsibilities: Policy Development & Risk Management Design and manage credit policies for Consumer Durable Loans across multiple geographies and product lines. Develop rule-based and scorecard-driven underwriting frameworks aligned with market trends and risk appetite. Continuously monitor portfolio performance, delinquencies, and credit costs to ensure portfolio health and suggest timely policy changes. Business Alignment & Collaboration Work closely with OEMs, retailers, and sales finance teams to align credit strategies with business goals. Collaborate with product, technology, and analytics teams to deploy policies effectively across both digital and assisted lending journeys. Provide credit risk inputs for new product launches, business partnerships, and channel strategies. Data-Driven Credit Strategy Leverage bureau data, customer analytics, and alternative data sources to refine credit segmentation and enhance decision accuracy. Drive innovation in credit decisioning through use of digital tools, scorecards, and partner integrations. Governance & Compliance Ensure adherence to internal credit standards, regulatory norms, and audit requirements. Conduct regular reviews of credit policies to ensure relevance and effectiveness. Qualifications & Experience: Educational Qualification: Postgraduate or MBA (Finance preferred). Experience: Minimum 8 years in credit policy, with significant exposure to Consumer Durable Loans in a Bank or NBFC. Key Functional Competencies: Strong understanding of EMI schemes, zero-cost financing, and manufacturer subvention models. Experience working with fintech partners, embedded finance platforms, and POS financing networks. Skilled in credit policy formulation, risk modeling, and scorecard development. Proficient in working with credit bureau data, partner APIs, and digital credit tools. Key Behavioral Competencies: Strong analytical and problem-solving skills. Excellent communication and stakeholder management abilities. Proven track record of effective cross-functional collaboration. Technical proficiency in Excel, SQL, and analytics tools such as SAS or Python is preferred. This is a high-impact leadership opportunity in the evolving consumer lending space, where you'll shape credit strategy and risk frameworks at scale, working alongside dynamic teams and partners in a fast-growing environment. Qualification : Postgraduate or MBA (Finance preferred)