Structured Data Jobs in Bengaluru

Analytics Engineer Location: Bengaluru Work Type: Full-Time About Postman Postman is the world s leading API platform, used by over 40 million developers and 500,000 organizations, including 98% of the Fortune 500. Our mission is to build an API-first world, simplifying every step of the API lifecycle and enabling teams to create better APIs, faster. Founded in Bengaluru, Postman is headquartered in San Francisco, with offices in Boston, New York, and Bengaluru. We are privately held, backed by Battery Ventures, BOND, Coatue, CRV, Insight Partners, and Nexus Venture Partners. The Opportunity We are seeking an Analytics Engineer to join our Data Team and help strengthen the foundation of our modern data stack. In this role, you will own critical transformation pipelines, design scalable data models, and ensure that our analytics environment is performant, reliable, and future-ready. You will operate with a high degree of independence, driving projects from design through production, while implementing best practices in dbt, semantic layers, medallion architecture, and lakehouse paradigms. Key Responsibilities Take ownership of large portions of our dbt project (3k+ models), ensuring scalability, maintainability, and adherence to best practices. Design and implement robust data models, including dimensional modeling, incremental strategies, and Slowly Changing Dimensions (SCDs). Establish and enforce dbt test coverage, automated quality checks, and CI/CD pipeline standards using GitHub Actions. Profile and optimize SQL queries and warehouse performance for efficiency and cost reduction. Build and refine our semantic layer, ensuring consistent business logic across Looker, Redash, and downstream tools. Collaborate with analysts and business partners to define metrics and deliver self-serve data assets. Document models, lineage, and transformation logic to make data discoverable and usable across the company. Contribute to shaping team standards and playbooks, collaborating with analysts on modeling and transformation best practices. Stay ahead of modern data stack innovations, including dbt metrics layer, universal semantic layers, data contracts, and observability. Enabling Self-Serve Analytics & AI Build transformations that empower business stakeholders and analysts to explore data confidently. Ensure metric definitions are consistent, discoverable, and reusable across BI tools. Prepare clean, structured, and accessible datasets for AI-driven initiatives like conversational analytics and anomaly detection. Partner with Data Science & ML teams to provide reliable pipelines that accelerate experimentation and AI/ML deployment. About You 3 5 years of experience in analytics engineering roles. Advanced SQL skills (query optimization, performance tuning). Strong proficiency in dbt Core: models, macros, snapshots, sources, and custom materializations. Solid background in data modeling techniques (Kimball, SCD handling, incremental pipelines). Practical experience with semantic layers and BI integration (LookML, dbt metrics, or equivalent). Familiarity with Medallion architecture and modern lakehouse approaches. Hands-on experience with Redshift; exposure to Databricks is a plus. Proficiency with GitHub and CI/CD pipelines for analytics code. Strong fundamentals in data quality, governance, and lineage tracking. Flexible schedule with a hybrid work model. Full medical coverage, flexible PTO, wellness reimbursement, and monthly lunch stipend. Access to wellness programs, team-building events, and donation-matching initiatives. An inclusive, collaborative culture where everyone can thrive and grow. Our Values Curiosity: Explore and innovate fearlessly. Transparency: Communicate openly about successes and failures. Focus: Set clear goals aligned with a bold vision. Inclusion: Every voice matters. Excellence: Deliver the best products and experiences together.

Position: Software Engineer Location: Bengaluru, Karnataka, India Reporting To: Project Manager Qualifications: Bachelor s Degree in Computer Science Engineering 2 to 5 years of relevant software development experience Core Skills & Technologies: Frontend Development: Expertise in React (JavaScript/TypeScript) for building dynamic, component-based single-page applications Experience with Vue.js as a lightweight, easy-to-learn alternative Familiarity with Angular for comprehensive, large-scale front-end applications Skilled in CSS frameworks like Bootstrap or Tailwind CSS to create responsive and attractive designs Optionally, frontend development using Python frameworks such as Django or Streamlit Backend Development: Proficiency in Python frameworks like Django, Flask, or FastAPI for rapid development and robust business logic implementation Experience with Java Spring Boot for scalable, enterprise-grade backend systems Database Management: Hands-on experience with relational databases such as PostgreSQL or MySQL for structured data management (e.g., Bill of Materials, orders) Knowledge of NoSQL databases like MongoDB for flexible, semi-structured data storage API Development: Skilled in designing and developing RESTful APIs for straightforward and widely supported data exchange Familiarity with GraphQL for efficient, flexible querying of complex data Authentication & Authorization: Experience implementing security protocols including OAuth2, JWT (JSON Web Tokens), or session-based authentication Qualification : Bachelors Degree in Computer Science Engineering

Job Title: Senior Data Scientist Location: Bangalore, Karnataka, India Department: DAC Experience: 4 to 6 years About the Role As a Senior Data Scientist, you will leverage your expertise in statistics, machine learning, and data analysis to extract meaningful insights from both structured and unstructured data. Working closely with cross-functional teams, you will develop predictive models, optimize business processes, and contribute significantly to data-driven decision-making across the organization. Key Responsibilities Translate complex business problems into testable hypotheses and proofs of concept, guiding the data science team towards delivery. Apply business acumen to analyze data and extract actionable insights. Communicate complex technical ideas effectively to stakeholders with varying levels of technical expertise. Employ a range of analytical and machine learning techniques to solve business challenges. Conduct research and develop innovative solutions to data analytics problems. Manage data collection, integration, analysis, and presentation across different business contexts. Adhere to and promote best software development practices including version control, peer reviews, and refactoring. Create and maintain thorough documentation of experiments and solutions, following frameworks like CRISP-DM. Stay updated with the latest data science trends, tools, and best practices, sharing knowledge with the team. Conduct peer code reviews and mentor junior data scientists. Drive improvements in data science delivery processes and champion their adoption within the team. Required Skills Technical: Advanced programming skills in Python and SQL. Strong foundation in Probability, Statistics, and hypothesis testing. Expertise in practical machine learning, including common pitfalls and mitigation strategies. Proficient with data visualization tools such as Tableau, PowerBI, and Python libraries (seaborn, matplotlib). Experience with modern development tools and collaborative coding practices. Intermediate cloud technology knowledge with experience deploying data science solutions on cloud platforms. Non-Technical: Pragmatic decision-making balancing solution perfection with business impact and timelines. Project planning and task delegation for data science teams. Ability to present complex insights to non-technical audiences via storyboarding and presentations. Strong written communication skills for technical documentation and paper submissions. Leadership and mentorship capabilities within the data science community. Preferred Skills (Good to Have) Advanced expertise in specialized areas such as Operations Research, NLP, Deep Learning, Time Series Forecasting, Reinforcement Learning, Graph ML, or Explainable AI. Advanced cloud technology knowledge, including application deployment. Ability to decompose business problems into technical subproblems matched with appropriate methodologies. Qualifications Bachelor s degree in Engineering, Technology, or a related technical field. 4 to 6 years of relevant data science experience. Work on impactful, cutting-edge AI and analytics projects with Fortune 500 clients. Collaborate with a passionate team of data scientists and engineers. Grow your technical and leadership skills in a fast-paced, innovation-driven environment. Qualification : Bachelors degree in Engineering, Technology, or a related technical field.

Position Title: Senior Data Engineer Databricks, PySpark, Cloud Platforms Location: Bengaluru Bellandur (GTP) Employment Type: Full-time Job Summary Synechron is looking for a Senior Data Engineer to join our advanced analytics team in Bengaluru. In this role, you will architect and build scalable, high-performance data pipelines that power data science, analytics, and business intelligence initiatives. You ll work with modern tools including Databricks, PySpark, and cloud data platforms, while collaborating across teams to ensure high-quality, secure, and efficient data solutions. Key Responsibilities Design, develop, and maintain large-scale, secure, and efficient data pipelines using Databricks, PySpark, and cloud-native tools. Partner with data scientists, analysts, and business stakeholders to translate requirements into robust data solutions. Integrate data from various structured, semi-structured, and streaming sources. Ensure high standards for data quality, performance optimization, security, and cost efficiency. Drive data pipeline automation, orchestration, and monitoring using tools like Airflow. Lead troubleshooting efforts, performance tuning, and enhancements of existing pipelines. Stay informed about emerging data technologies and recommend adoption where relevant. Technical Skills Core Expertise Programming: Python (expert), SQL (advanced), PySpark. Platforms: Databricks (clusters, notebooks, workflows), AWS/Azure/GCP. Data Orchestration: Apache Airflow (or similar). Data Warehousing: Snowflake (preferred), data modeling, ETL/ELT pipelines. Streaming: Kafka or other stream processing tools. DevOps: CI/CD (GitLab CI, Jenkins), version control (Git), containerization (Docker/Kubernetes preferred). Security: Familiarity with encryption, access controls, and compliance best practices. Experience 8+ years of experience in data engineering or related roles. Proven expertise in developing and deploying scalable data pipelines using Databricks, PySpark, and SQL. Hands-on experience with cloud platforms (AWS, Azure, or GCP). Strong background in data warehousing, especially with Snowflake. Exposure to real-time data processing and orchestration tools. Experience implementing CI/CD pipelines for data workflows is a plus. Daily Responsibilities Build and optimize data ingestion, transformation, and storage workflows. Collaborate with cross-functional teams to align data solutions with business objectives. Monitor, troubleshoot, and continuously improve pipeline performance. Conduct data quality checks, ensure governance and compliance standards. Contribute to technical documentation, code reviews, and team knowledge sharing. Qualifications Bachelor s or Master s degree in Computer Science, IT, or related field. Relevant certifications (e.g., Databricks Certified Data Engineer, AWS Certified Data Analytics) are preferred. Professional Competencies Strong problem-solving and analytical mindset. Effective communicator with ability to collaborate across technical and non-technical teams. Time management and prioritization skills under tight deadlines. Proactive leadership and a passion for innovation. Commitment to ethical data use and data security. Diversity & Inclusion at Synechron Synechron is committed to building an inclusive, diverse, and equitable workplace. Through our global Same Difference DEI initiative, we celebrate and support people from all backgrounds, including race, gender, sexual orientation, religion, age, disability, and more. We offer flexible work arrangements, continuous learning, internal mobility, and mentoring programs to support every employee s growth. Qualification : Bachelors or Masters degree in Computer Science, IT, or related field

Data Architect Bangalore, India Location: Bangalore (Bengaluru) Experience: 10 to 15 Years Industry: IT & Data Systems Job Summary: We are seeking an experienced Data Architect with a strong background in designing and implementing enterprise-scale data solutions. The ideal candidate will have expertise in building data lakes, warehouses, and pipelines, with deep knowledge of cloud platforms, data management, and industry best practices. Key Responsibilities: Design, develop, and maintain complex data architectures including data lakes, data warehouses, data marts, and efficient schema design Build and optimize scalable data pipelines for extraction, transformation, and loading (ETL/ELT) processes Apply Agile methodologies in project delivery and collaborate within cross-functional teams Perform data profiling, cleansing, conversion, and ensure high-quality data management for both structured and unstructured data Implement CI/CD and Infrastructure as Code (IaC) practices using tools like GitHub, Jenkins, CloudFormation, and Azure Resource Manager Manage database systems and tools such as PostgreSQL, Oracle, Snowflake, Teradata, MongoDB, Hadoop, and others Utilize data modeling tools like Erwin, Power Designer, and Toad for effective data architecture design Leverage cloud platforms including AWS and Microsoft Azure, with hands-on experience in services like AWS Glue, DMS, Lambda, Azure Data Factory, Synapse, and Data Lake Storage Work with programming and scripting languages including SQL, PL/SQL, Python, Spark, YAML, and JSON Use containerization and automation tools such as Docker, Ansible, and NodeJS for efficient deployment Ensure compliance with cybersecurity principles and frameworks such as NIST Lead data governance initiatives and enforce best practices in data quality and security Preferred Qualifications: ITIL certification and experience with Agile methodology Knowledge of code review and version control best practices, especially in GitHub Familiarity with data science tools and AI/ML frameworks like R, Keras, or TensorFlow Experience with natural language processing (NLP) and machine learning concepts Background in regulated industries, with pharma manufacturing experience highly preferred Exposure to multi-site, global IT projects and manufacturing operations Lead innovative data architecture projects within a dynamic and fast-paced environment Work with cutting-edge cloud technologies and big data ecosystems Collaborate with global teams on impactful enterprise solutions Access to professional growth opportunities in data governance, AI, and cloud technologies

GenAI Engineer Location: Bangalore, India Office About the Team Rubrik's IT team is driving AI-powered transformation to enable smarter automation and scalable data solutions that protect and empower the company's mission. As part of the newly formed IT AI team, you'll be instrumental in developing AI agents and workflows to unlock the potential of generative AI in data engineering. About the Role We are seeking an experienced GenAI Engineer to join our Data Engineering team, focusing on building and deploying AI agents and workflows powered by large language models (LLMs). You will integrate data sources and develop MCP clients/servers to support LLM-based bots, collaborating closely with data scientists, engineers, and business teams to enhance GenAI adoption and deliver advanced data solutions. Key Responsibilities Design and develop data integrations using MCP protocols or traditional extraction methods. Build scalable data pipelines for GenAI model training and deployment using tools like Snowflake Cortex, Gemini Agentspace, and Databricks LLM (Mosaic AI, RAG, Model Serving). Ensure data quality, integrity, and scalability for AI workloads involving both structured and unstructured data. Collaborate with business teams, data engineers, and application developers to create products that streamline processes and drive growth. Integrate data pipelines with existing infrastructure to enable seamless data flow and analytics. Support the data engineering team in producing high-quality data products for AI workloads. Experience You'll Need 1+ year of experience building AI agents or using Snowflake Cortex, Gemini Agentspace, or similar open-source tools. 3+ years of experience in data engineering focused on AI/ML workloads. 5+ years of experience in data analytics with Snowflake or Databricks platforms. Strong programming skills in Python, Java, or Scala. Familiarity with data storage solutions (Snowflake, Databricks) and APIs. Experience with cloud configuration and data governance. Knowledge of large language models (transformers) and frameworks like LangChain. Strong problem-solving skills and ability to thrive in a fast-paced environment. Preferred Qualifications Experience building AI agents and agentic workflows. Knowledge of MCP and Agent2Agent protocols. Understanding of generative models and their applications in data engineering. Familiarity with data governance and security best practices for GenAI workloads. Experience with Agile methodologies and collaboration tools like Jira and GitHub. Join Us in Securing the World's Data Rubrik (NYSE: RBRK) is dedicated to securing the world's data with Zero Trust Data Security.Our platform, powered by machine learning, protects data across enterprise, cloud, and SaaS applications, helping businesses stay resilient against cyberattacks and operational disruptions.

Technical Staff, Software Engineering CTO Storage Team Location: Bengaluru, India Team: CTO Storage Company: Dell Technologies Role Overview You will architect and lead the development of advanced storage architectures focusing on data path technologies across Dell s storage portfolio. This senior technical role involves innovation in AI-driven infrastructure, storage protocols, and system integration, collaborating closely with product teams, management, and external partners to deliver cutting-edge solutions. Key Responsibilities Present innovative storage technology ideas to executive leadership. Architect detailed product designs including functionality, performance, integration, and hardware needs. Lead prototyping, testing, and validation efforts focusing on scalability and performance. Collaborate cross-functionally to build POCs and MVPs ensuring seamless integration of technologies. Mentor and uplift junior engineers and peers, encouraging innovative thinking and solutions. Essential Requirements Experience: 15+ years with Bachelor s degree, OR 12+ years with Master s degree, OR 8+ years with PhD, OR equivalent experience Expertise in AI-driven operations, telemetry, data integration, and storage connectivity/protocols. Deep knowledge of: Filesystem data paths, object protocols, Linux kernel ecosystem. Storage & networking drivers and standards. Unstructured & structured data ecosystems and connectors. Drive technologies and hardware ecosystem (CPU, PCIe, networking, DPU, offload engines). Strong programming skills in Embedded C and Python on Linux OS. Active contributions to open-source or tech communities, plus demonstrated leadership in mentoring. Desirable Qualifications Advanced certifications or publications in Storage Software, AI, Deep Learning, or related fields. Proven track record of leading impactful, innovative projects. Ongoing engagement with open-source projects or technical communities. Join a team pushing boundaries in storage and AI infrastructure, shaping the future of data management with innovative technologies. Collaborate with industry experts and enjoy growth opportunities while making a meaningful impact.

Data Annotation Specialist Location: Bengaluru, India About Neuron7.ai Neuron7.ai is a rapidly growing AI-first SaaS company that s redefining service intelligence. Backed by leading venture capitalists in Silicon Valley and a distinguished group of angel investors, Neuron7.ai is a startup recognized for its innovation and market traction. Our platform delivers service predictions by analyzing both structured and unstructured data, enabling enterprises in industries like high-tech devices, manufacturing, and medical devices to make accurate service decisions at scale. We re looking for a Data Annotation Specialist to join our team for a 6-month contract. This role involves reviewing and annotating technical documents, converting them into visual formats like graphs and flowcharts, and ensuring precision in technical specifications. The ideal candidate will possess strong communication skills, a deep understanding of technical documentation, and hands-on experience with data visualization tools. At Neuron7.ai, you'll be part of an innovative, dynamic team that's redefining service intelligence. We value creativity, collaboration, and a commitment to pushing boundaries. If you're passionate about transforming complex data into easily digestible visuals, this is the perfect role for you. About the Team Join a team of passionate professionals dedicated to using AI to drive impactful service solutions. Our culture promotes learning, growth, and encourages everyone to contribute ideas and drive projects forward. What You ll Do: Document Review & Annotation: Thoroughly analyze technical documents and annotate key data points accurately, ensuring they are aligned with the original content. Graph & Flowchart Creation: Transform complex technical specifications into clear, concise, and accurate visual formats like graphs, charts, and flowcharts. Data Visualization: Develop easy-to-understand visual data representations to enhance the comprehension of technical documentation. Collaboration: Work closely with internal technical teams to ensure that data and processes are correctly represented and visualized. Quality Control: Ensure that all annotations and visuals meet the highest accuracy standards and align with the original documentation. Clear Communication: Effectively communicate technical details, both in writing and verbally, with internal teams and stakeholders. Time Management: Manage multiple tasks efficiently while meeting deadlines, and be flexible with working hours, primarily in the PST time zone. What You ll Need: Education: A Bachelor s degree (or higher). Curiosity and Analytical Thinking: Strong curiosity about how people think and express ideas, and an ability to distill and clarify complex information for AI and machine learning applications. Communication Skills: Exceptional written and verbal communication skills to convey complex technical concepts clearly. Technical Document Comprehension: Ability to read and understand technical documents, accurately annotating them with precision. Graph & Flowchart Creation: Hands-on experience creating graphs, charts, and flowcharts to visually represent technical data. Attention to Detail: A keen eye for detail to ensure accuracy in annotation and data visualization. Technical Aptitude: Comfort with working with technical information and transforming it into easy-to-understand visuals. Flexible Working Hours: Ability to work flexible hours, primarily within the PST time zone. Immediate Availability: Must be able to start immediately and commit to the full 6-month contract. What We d Like to See: Experience with Diagramming Tools: Familiarity with tools like Microsoft Visio or similar for diagramming and process mapping. Data Annotation Experience: Previous experience in data annotation would be a plus. Multilingual Skills: Fluency in an international language other than English is a plus. Our Commitment to Diversity and Inclusion Neuron7.ai is committed to fostering a diverse and inclusive workplace. We ensure equal employment opportunities without discrimination or harassment based on race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, marital status, or any other characteristic protected by law. If you're excited about using data to drive service intelligence and want to be part of a forward-thinking team, we d love to hear from you! Qualification : A Bachelors degree (or higher).

Lead Data Scientist Location: Bengaluru, India Employment Type: Full-time, Hybrid About Neuron7.ai Neuron7.ai is a rapidly growing AI-first SaaS company creating service intelligence products that are transforming industries such as high-tech devices, manufacturing, and medical devices. Backed by top Silicon Valley venture capitalists and an esteemed group of angel investors, we are recognized as a startup to watch. Our AI-driven platform helps enterprises make accurate service decisions at scale by delivering service predictions in seconds. By analyzing structured and unstructured data, alongside insights from leading experts, we empower service leaders to improve key metrics like first-call resolution, turnaround time, and service margins. At Neuron7.ai, you'll be part of a dynamic and innovative team that is redefining service intelligence. We value creativity, collaboration, and a commitment to pushing boundaries. Our goal is to lead the AI revolution in service decision-making, and we want you to be a part of that journey. About the Team As a Lead Data Scientist, you ll play a pivotal role in designing, developing, and deploying NLP-driven solutions for processing and analyzing large volumes of unstructured data. Your deep technical expertise will help launch AI products that directly impact users. You ll also mentor junior team members, ensuring technical excellence and fostering growth within the team. You'll collaborate closely with cross-functional teams and customers to solve complex challenges and create impactful AI solutions. What You ll Do: Lead NLP Development: Oversee the development and deployment of NLP-based solutions for processing and analyzing unstructured data at scale. Machine Learning Model Development: Design, train, and optimize machine learning models using popular libraries such as PyTorch, NLTK, and Scikit-learn. Cloud Deployment: Architect and deploy AI/ML products on cloud platforms such as Azure, GCP, or AWS. Collaboration: Work with data engineering teams to ensure seamless integration of AI models into production systems. Data Analytics: Perform advanced SQL analytics to extract actionable insights from structured datasets. Mentorship: Guide and mentor junior data scientists, fostering a culture of technical excellence within the team. Customer Engagement: Work closely with customers to understand their needs and translate those into technical solutions. Communicate complex technical concepts to non-technical stakeholders. Stay Current: Keep up-to-date with the latest advancements in NLP and machine learning to ensure best practices and cutting-edge solutions are applied. What We re Looking For: Experience: Minimum 10 years of experience in data science, specifically focused on NLP and unstructured data processing. Track Record: Proven experience in launching NLP-driven products to live users. Technical Expertise: Expertise in Python and libraries such as PyTorch, NLTK, and Scikit-learn. Hands-on experience with Transformer-based models (e.g., BERT, GPT). Cloud Proficiency: Strong experience with cloud platforms like Azure, GCP, or AWS for hosting and deploying AI/ML products. Data Engineering Knowledge: Familiarity with data engineering pipelines and best practices for scalable AI model deployment. SQL Proficiency: Proficient in SQL for data manipulation and advanced analytics. Problem-Solving: Excellent problem-solving skills with a strong ability to work with large-scale datasets. Leadership & Communication: Strong interpersonal and communication skills, with the ability to mentor team members and interact effectively with customers. Preferred Skills: MLOps Knowledge: Understanding of MLOps practices for model deployment, monitoring, and lifecycle management. Data Processing Tools: Familiarity with tools like Airflow, Spark, or similar frameworks for data processing. Customer-Facing Experience: Background in working with customer-facing applications and APIs to deliver AI-powered solutions. What We Do and Value: At Neuron7.ai, we prioritize integrity, innovation, and a customer-centric approach. Our mission is to enhance service decision-making using advanced AI technology, and we are committed to delivering excellence in all aspects of our work. Company Perks & Benefits: Competitive salary, equity, and spot bonuses Paid sick leave Latest MacBook Pro for your work Comprehensive health insurance Paid parental leave Hybrid work model with flexibility to work from our vibrant Bengaluru office Our Commitment to Diversity and Inclusion: Neuron7.ai is committed to fostering a diverse and inclusive workplace. We ensure equal employment opportunities without discrimination based on race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, marital status, or any other characteristic protected by law. If you re passionate about building innovative AI-driven solutions and want to be part of a forward-thinking team, we d love to hear from you!

Senior Data Engineer Location: Bengaluru, India Employment Type: Full-time, On-site About Neuron7.ai Neuron7.ai is a rapidly growing AI-first SaaS company that is revolutionizing the world of service intelligence. Backed by leading Silicon Valley venture capitalists and a distinguished group of angel investors, we are recognized as a startup to watch. Our AI-driven platform delivers service predictions in seconds by analyzing structured and unstructured data, alongside insights from top experts. We specialize in complex service environments like high-tech devices, manufacturing, and medical devices, empowering service leaders to optimize key metrics like first-call resolution, turnaround time, and service margins. At Neuron7.ai, you will be part of a dynamic, innovative team that is pushing the boundaries of service intelligence. We value creativity, collaboration, and a relentless commitment to innovation. This is your chance to join a fast-growing startup and help redefine how AI impacts the future of service optimization. About the Role We are building a real-time analytics platform to improve uptime of connected devices and minimize maintenance costs. This involves collecting, analyzing, and leveraging large volumes of sensor data for observability and predictive analytics. As a Senior Data Engineer, you will have the opportunity to build and maintain scalable, high-performance data systems using modern data engineering tools. The ideal candidate will have hands-on experience with Python, Scala, ELT processes, Lakehouse architecture, Apache Spark, Databricks, real-time streaming systems like Kafka and Flink, and observability tools such as the ELK stack, Prometheus, and Grafana. What You ll Do: Data Model Development: Design and implement advanced data models to extract insights from complex datasets. Collaborative Problem Solving: Work with cross-functional teams to devise data-driven solutions for service optimization. Experimental Analysis: Conduct experiments and analyses to enhance service predictions and outcomes. Actionable Insights: Present findings and actionable recommendations to stakeholders, translating complex data insights into clear, understandable concepts. Mentorship: Guide and mentor junior team members, fostering a collaborative and knowledge-sharing environment. What We re Looking For: Experience: At least 4 years of hands-on experience in data engineering, with a focus on building large-scale data systems. Data Pipeline Expertise: Strong proficiency in Python and Scala for developing data pipelines. Big Data Tools: Proven experience with Apache Spark and Databricks for big data processing and analytics. Observability Tools: Hands-on experience with observability tools like Prometheus, Grafana, and the ELK stack or OpenSearch. Real-Time Data Streaming: Experience working with real-time streaming systems such as Kafka and Flink. Cloud Platforms: Familiarity with cloud platforms like Azure, GCP, or AWS. Problem-Solving Skills: Strong analytical and problem-solving abilities to work with complex data systems in fast-paced environments. Collaboration: Excellent communication and teamwork skills, with the ability to work effectively with cross-functional teams. What We Do and Value: At Neuron7.ai, we prioritize integrity, innovation, and a customer-centric approach. Our mission is to leverage advanced AI technology to enhance service decision-making and we are dedicated to delivering excellence in all aspects of our work. Company Perks & Benefits: Competitive salary, equity, and spot bonuses Paid sick leave Latest MacBook Pro for your work Comprehensive health insurance Paid parental leave Flexible work arrangements work from home or from our vibrant Bengaluru office Our Commitment to Diversity and Inclusion: Neuron7.ai is committed to fostering a diverse and inclusive workplace. We ensure equal employment opportunities without discrimination based on race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, marital status, or any other characteristic protected by law. If you re passionate about using data to drive service intelligence and want to be part of a forward-thinking team, we d love to hear from you!

Lead DevOps Engineer Location: Bengaluru, India Employment Type: Full-time, Hybrid About Neuron7.ai Neuron7.ai is a rapidly growing AI-first SaaS company that is revolutionizing the world of service intelligence. Backed by top-tier venture capitalists in Silicon Valley and a distinguished group of angel investors, we are recognized as a startup to watch. Our platform enables enterprises to make accurate service decisions at scale by delivering service predictions in seconds through the analysis of both structured and unstructured data. At Neuron7.ai, you will be part of a dynamic and innovative team that is pushing the boundaries of service intelligence. We value creativity, collaboration, and a relentless commitment to innovation. This is your opportunity to make a meaningful impact on cutting-edge products at scale, in a fast-growing startup environment. About the Team Join a passionate team of professionals focused on optimizing our infrastructure, deployment processes, and overall system performance. We foster a culture of continuous improvement, where every team member is encouraged to contribute ideas and drive impactful projects. As a Lead DevOps Engineer, you will play a pivotal role in shaping the evolution of our infrastructure and operational efficiency. What You ll Do: CI/CD Pipelines: Lead the design, implementation, and management of CI/CD pipelines to automate and streamline deployment processes. Collaboration: Work closely with software development and IT teams to enhance workflows and ensure efficient release cycles. System Monitoring: Monitor and troubleshoot system performance to ensure high availability and reliability of applications across environments. Cloud Infrastructure: Architect and manage cloud infrastructure (AWS, Azure, GCP) for scalable, secure, and performant application environments. Automation: Automate infrastructure provisioning and configuration management using tools like Terraform, Ansible, or similar technologies. Security & Compliance: Conduct regular system audits, implement security best practices, and ensure compliance with industry standards. Mentorship: Mentor and guide junior DevOps engineers, fostering a collaborative, knowledge-sharing, and growth-focused environment. Documentation: Document processes, configurations, and standard operating procedures to enhance team efficiency and maintain operational excellence. What We re Looking For: Experience: 8+ years of experience in DevOps engineering or a related field. Cloud Expertise: Extensive knowledge and hands-on experience with cloud platforms (AWS, Azure, GCP) and associated services (EC2, S3, Lambda, etc.). Containerization: Strong experience with containerization technologies such as Docker and Kubernetes for managing microservices. Automation Skills: Proficiency in scripting languages (Python, Bash, Ruby) for automation tasks and infrastructure-as-code management. Monitoring & Logging: Familiarity with monitoring and logging tools such as Prometheus, Grafana, and the ELK stack. Problem-Solving: Excellent problem-solving skills with a proactive, solutions-oriented mindset for resolving operational challenges. Collaboration: Strong communication skills with the ability to work collaboratively across teams and influence operational best practices. What We Do and Value: At Neuron7.ai, we prioritize integrity, innovation, and a customer-centric approach. Our mission is to use advanced AI technology to improve service decision-making and we are committed to delivering excellence in all aspects of our work. Company Perks & Benefits: Competitive salary, equity, and spot bonuses Paid sick leave Latest MacBook Pro for your work Comprehensive health insurance Paid parental leave Work from home or from our vibrant Bengaluru office with flexible work arrangements Our Commitment to Diversity and Inclusion: Neuron7.ai is committed to fostering a diverse and inclusive workplace. We ensure equal employment opportunities without discrimination based on race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, marital status, or any other characteristic protected by law. If you re passionate about optimizing deployment processes, improving infrastructure, and driving operational excellence, we d love to hear from you!

Lead Software Engineer - Backend Location: Bengaluru, India Employment Type: Full-time, Hybrid About Neuron7.ai Neuron7.ai is a rapidly growing AI-first SaaS company that is redefining service intelligence. Backed by top-tier venture capitalists in Silicon Valley and a distinguished group of angel investors, we are recognized as a startup to watch. Our AI-driven platform helps enterprises make accurate service decisions at scale by delivering service predictions in seconds through the analysis of structured and unstructured data. We work across industries, including high-tech devices, manufacturing, and medical devices, enabling service leaders to excel in critical metrics like first-call resolution, turnaround time, and service margins. At Neuron7.ai, you ll be part of an innovative and dynamic team that is shaping the future of service intelligence. We value creativity, collaboration, and a commitment to pushing boundaries. This is your chance to make an impact in a fast-growing startup and work with cutting-edge technology. About the Team As a Lead Software Engineer - Backend, you will play a crucial role in architecting, developing, and optimizing backend systems for our groundbreaking products. You will lead a talented team, collaborating across functions to deliver scalable and high-performance systems. As a leader, you ll also mentor and guide junior engineers to help them grow in their careers. What You ll Do: Backend Systems Design: Lead the design and implementation of scalable, reliable, and high-performance backend systems. Distributed Systems: Develop and optimize distributed systems to handle large-scale traffic and data. System Architecture: Lead the architecture and design of critical components, ensuring robust and efficient solutions. Code Development: Write clean, maintainable, and efficient code that powers our AI-driven platform. Cross-Functional Collaboration: Work closely with product managers, frontend engineers, and other stakeholders to deliver end-to-end solutions. Troubleshooting & Debugging: Solve complex production issues and implement reliable, performance-optimized solutions. Mentorship: Provide guidance and mentorship to junior and mid-level engineers, fostering a collaborative environment. Continuous Learning: Stay updated on the latest trends and advancements in backend development, AI, and distributed systems. What We re Looking For: Experience: Minimum 10 years of professional experience in backend development, with at least 4 years of experience in AI, NLP, or ML. Programming Skills: Expertise in one of the following programming languages: Java, Python, or Golang. Distributed Systems: Proven experience in building and maintaining distributed systems at scale. Cloud Platforms: Familiarity with at least one major cloud platform (Azure, AWS, or GCP). System Design: Strong understanding of system design, architecture patterns, and data structures. Database Knowledge: Experience with relational and NoSQL databases. API Development: Proficiency in developing RESTful APIs and microservices. Security & Performance: Solid understanding of security best practices and performance optimization in backend systems. Problem-Solving Skills: Strong analytical skills with a proven track record of solving complex engineering challenges. Communication: Excellent communication skills with the ability to collaborate across teams and interact with non-technical stakeholders. Preferred Skills: Containerization: Experience with Kubernetes, Docker, or other containerization tools for scalable deployment. Messaging Systems: Familiarity with Kafka, RabbitMQ, or similar messaging systems for real-time data processing. CI/CD: Knowledge of CI/CD pipelines and automation tools to ensure efficient development and deployment. Data Pipelines: Familiarity with data pipelining frameworks such as PySpark, Flink, or similar for real-time processing. What We Do and Value: At Neuron7.ai, we prioritize integrity, innovation, and a customer-centric approach. Our mission is to enhance service decision-making through advanced AI technology, and we are dedicated to delivering excellence in every aspect of our work. Company Perks & Benefits: Competitive salary, equity, and spot bonuses Paid sick leave Latest MacBook Pro for your work Comprehensive health insurance Paid parental leave Work from home or from our vibrant Bengaluru office with hybrid work arrangements Our Commitment to Diversity and Inclusion: Neuron7.ai is committed to fostering a diverse and inclusive workplace. We ensure equal employment opportunities without discrimination based on race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, marital status, or any other characteristic protected by law. If you re excited about building innovative backend solutions and want to work with cutting-edge technologies in a forward-thinking team, we d love to hear from you!

Senior Data Scientist Location: Bangalore, Karnataka, India Department: DAC Experience Required: 4 6 Years Education: B.E./B.Tech or equivalent Open Positions: 10 About the Role This is an exciting opportunity to apply your technical expertise while mentoring junior data scientists, influencing technical strategies, and ensuring the highest quality of data-driven decision-making. Key Responsibilities Data Science & Analytics Translate business problems into testable hypotheses and develop proofs of concept. Build and deploy predictive models and machine learning solutions using Python, SQL, and cloud platforms. Use advanced statistical techniques, data mining, and visualization to derive insights from structured and unstructured data. Collaborate with stakeholders to deliver actionable insights and ensure analytical solutions are effectively communicated to both technical and non-technical audiences. Design experiments, conduct hypothesis testing, and create data-driven narratives to support decision-making. Technical Leadership Guide and mentor junior data scientists on best practices, project design, and technical execution. Conduct code reviews, ensure quality documentation, and uphold software development standards (version control, refactoring, collaborative coding). Share emerging trends and best practices in the field to foster team-wide learning. Actively participate in peer learning, technical sessions, and team knowledge-sharing. Project Management Break down complex data science projects into smaller tasks, assign responsibilities, and monitor execution. Balance business impact with execution timelines to deliver pragmatic solutions over theoretical perfection. Create and maintain documentation using standardized frameworks (e.g., CRISP-DM). Required Skills Technical (Must-Have) Advanced proficiency in Python and SQL. Expertise in Probability & Statistics, hypothesis testing, and predictive modeling. Solid hands-on experience with Machine Learning (regression, classification, clustering, etc.). Strong data visualization skills with tools like Tableau, Power BI, and libraries such as matplotlib, seaborn. Experience with cloud platforms (Azure, AWS, or GCP) and modern development tools. Non-Technical (Must-Have) Strong communication skills: Ability to present technical findings to non-technical stakeholders. Project planning, risk management, and delivery tracking experience. Leadership qualities: Mentorship, peer collaboration, and driving process improvements. Excellent written communication for documenting scientific approaches and writing whitepapers. Preferred Skills (Good to Have) Advanced Technical Skills Expertise in areas like NLP, Deep Learning, Reinforcement Learning, Graph ML, or Time Series Forecasting. Hands-on deployment experience using MLOps tools and advanced cloud-native services. Solutioning Acumen Ability to break down complex business challenges and match them with the most effective technical solutions. What Makes You a Great Fit You are a problem solver with a deep understanding of machine learning applications. You thrive in a collaborative environment and excel at mentoring others while growing your own skills. You are motivated by impact and have the ability to translate raw data into strategic insights. Perks & Benefits Opportunity to work on cutting-edge, enterprise-scale problems. Be a part of a collaborative, intellectually curious team. Mentorship and career development support. Access to advanced tools, resources, and cloud technologies.

Backend Engineer Location: Bengaluru, Karnataka, India (On-Site) Department: Engineering Employment Type: Full-Time About Sarvam.ai At Sarvam.ai, we re on a mission to bring generative AI to Bharat. Headquartered in Bengaluru and founded by industry-leading AI experts, Sarvam.ai is pioneering India-first, cost-effective, and high-performance AI agents that enable enterprises to unlock new opportunities and deliver deeper customer value. Join us in shaping the future of AI for India and beyond. Role Overview We are seeking a Backend Engineer with strong Python skills to help build the core infrastructure powering our AI-driven voice and generative applications. You ll work at the intersection of high-performance backend systems and machine learning model orchestration, playing a pivotal role in bringing cutting-edge AI into production environments. Key Responsibilities Develop, maintain, and scale backend services and RESTful APIs using Python and FastAPI (or similar frameworks like Flask, Django). Design and implement Retrieval-Augmented Generation (RAG) systems for AI-powered applications. Build data pipelines and orchestrate workflows for ML/AI model deployment. Write clean, modular code following industry best practices including unit testing and code reviews. Collaborate cross-functionally with ML engineers, data scientists, and product teams to integrate AI models into production environments. Optimize database operations for structured and unstructured data using both SQL and NoSQL solutions. Implement CI/CD pipelines and work with version control systems like Git for smooth deployment cycles. Participate in system architecture discussions and contribute to scaling and performance enhancements. Must-Have Skills & Qualifications Education: Bachelor s degree in Computer Science, Engineering, or a related technical field. Programming: Strong proficiency in Python and sound knowledge of programming principles. Web Frameworks: Experience with FastAPI, Flask, or Django. Database Knowledge: Comfortable working with SQL and NoSQL databases. AI & ML Exposure: Understanding of ML model lifecycle, deployment practices, and basic machine learning concepts. RAG Systems: Exposure to Retrieval-Augmented Generation or AI search systems. Version Control: Hands-on experience with Git and Git-based workflows. Analytical Mindset: Strong problem-solving and debugging skills. Teamwork: Excellent communication and collaboration skills. Nice-to-Have (Preferred Experience) Projects: Demonstrated experience building backend applications via academic, freelance, or open-source work. Cloud Experience: Familiarity with AWS, GCP, or Azure services. DevOps Tools: Exposure to Linux, Docker, Kubernetes, and CI/CD pipelines. Open Source: Active GitHub profile or contributions to open-source projects. Work on real-world AI applications impacting millions across India. Be part of a high-caliber team of AI and product engineering experts. Get in early at a fast-growing generative AI startup redefining the future of enterprise AI in India. Opportunity to grow rapidly, take ownership, and drive innovation. Qualification : Bachelors degree in Computer Science, Engineering, or a related technical field.

Backend Engineer - RAG & ML Specialization Location: Bengaluru, Karnataka, India (On-Site) Department: Engineering Employment Type: Full-Time About Sarvam.ai Sarvam.ai is a cutting-edge generative AI startup based in Bengaluru, India, on a mission to make AI accessible and impactful for Bharat. We develop high-performance, cost-effective AI agents tailored to the Indian market, empowering enterprises to unlock new opportunities and create meaningful customer connections. Join us as we reshape AI for India and beyond. Role Overview As a Backend Engineer specializing in RAG (Retrieval-Augmented Generation) systems and Machine Learning (ML) applications, you'll be building scalable backend systems that power AI-driven services. Your work will be critical in developing high-performance platforms for voice and generative AI applications, ensuring secure, scalable, and seamless AI model deployments. Key Responsibilities Backend Development: Design, develop, and maintain scalable, efficient backend applications and RESTful APIs using Python and FastAPI. RAG System Implementation: Build and optimize Retrieval-Augmented Generation (RAG) systems for AI applications, focusing on enhancing AI-driven search and retrieval capabilities. Data Pipeline Management: Develop and manage data pipelines and workflows for integrating AI and ML models into production systems. Code Quality: Ensure adherence to coding best practices, including writing modular code, implementing unit tests, and conducting code reviews. Cross-functional Collaboration: Work closely with AI/ML engineers, data scientists, and other teams to integrate machine learning models into backend systems. Database Optimization: Optimize database queries and efficiently manage both structured and unstructured data. CI/CD Practices: Continuously integrate and deploy code, using version control systems like Git and CI/CD pipelines. System Architecture: Contribute to architectural discussions and improvements, focusing on scalability and performance optimization. Must-Have Skills & Qualifications Educational Background: Bachelor's degree in Computer Science, Engineering, or a related technical field. Programming Skills: Strong proficiency in Python, with a solid understanding of programming fundamentals. Web Frameworks: Experience building backend services using FastAPI, Flask, or Django. Database Knowledge: Familiarity with SQL operations and NoSQL databases for efficient data management. AI & ML Exposure: Hands-on experience with Machine Learning and Deep Learning techniques, and understanding of AI model deployment in production environments. RAG Systems Experience: Prior exposure to Retrieval-Augmented Generation (RAG) architectures, with experience building AI-driven search systems. Version Control: Proficiency with Git and understanding of version control workflows. Problem Solving: Strong analytical and debugging skills to address complex technical challenges. Soft Skills: Excellent communication, collaboration, and problem-solving abilities. Good to Have (Preferred Experience) Backend Projects: Demonstrated experience working on backend applications using Python frameworks (FastAPI, Flask, Django) through academic or personal projects. Cloud Knowledge: Basic understanding of cloud platforms and services such as AWS, GCP, or Azure. DevOps & Containers: Exposure to Linux/Unix environments and containerization concepts (Docker, Kubernetes). CI/CD: Experience setting up CI/CD pipelines for automated testing and deployment. Open Source Contributions: Contributions to open-source projects or a strong GitHub profile showcasing backend development expertise. Impactful Work: Work on groundbreaking generative AI applications that are transforming the future of technology in India. Collaborative Environment: Join a high-performing team of AI experts and engineers, driving innovation and delivering real-world solutions. Growth Opportunities: Be a key player in a fast-growing AI startup, with the opportunity to grow alongside the company. Cutting-edge Technologies: Leverage the latest in AI, Machine Learning, and Cloud Technologies to build state-of-the-art systems. Qualification : Bachelor's degree in Computer Science, Engineering, or a related technical field.

Data Scientist II Join the Meesho Tech Team Location: Bangalore, Karnataka | Department: Technology Empower the Future of E-Commerce with Meesho We are looking for an experienced Data Scientist II to join our Avengers-like Data Science team at Meesho. As part of our mission to revolutionize e-commerce in India, we solve complex problems related to fraud detection, inventory optimization, and localized platform experiences that impact millions of users daily. As a mid-level Data Scientist, you ll partner with stakeholders across teams to create data-driven strategies, improve platform performance, and lead initiatives that enable better business outcomes for resellers and end users across Bharat. What You ll Do Design and build predictive models and machine learning solutions using large-scale data Conduct experiments and extract insights from high-volume structured and unstructured data Enhance product usability and surface new growth opportunities through advanced analytics Analyze reseller behavior to deliver personalized product recommendations Design effective discount programs to increase reseller sales performance Identify customer preferences to help resellers better serve their buyers and drive revenue Uncover supply chain inefficiencies and support SLA adherence through data insights Forecast seasonal and regional demand to optimize key business metrics Mentor junior data scientists and contribute to team knowledge-sharing What You ll Need Bachelor s or Master s degree in Computer Science, Data Science, or a related technical field 2 4 years of experience in a Data Scientist role, ideally within a fast-moving B2C tech environment Strong knowledge of Machine Learning algorithms, Neural Networks, and data modeling techniques Hands-on experience with SQL, Python, and R for data manipulation and analysis Strong understanding of statistics, linear algebra, and A/B testing methodologies Demonstrated ability to turn business problems into data science solutions Experience working with product and engineering teams to deliver scalable systems Preferred Qualifications Prior experience solving personalization or recommendation engine problems Familiarity with Big Data technologies like Apache Spark, Hadoop, or Amazon Redshift About Meesho Meesho is India's top-rated e-commerce workplace, revolutionizing online commerce for the next billion users. We empower over 1.75 million sellers through an inclusive, technology-driven platform that offers zero-commission selling, the lowest logistics costs, and access to a massive customer base across every serviceable pincode in India. Our Mission Democratizing Internet Commerce for Everyone Meesho (Meri Shop) aims to help 100 million small businesses succeed online. With relatable merchandise and localized user experiences, we re building a truly inclusive digital shopping ecosystem for underserved markets in India. Our Culture and Benefits Meesho fosters a high-performance and people-first culture. Our workplace philosophy is shaped by 11 guiding principles ("Mantras") and practices like Reflections, Listen or Die, and a robust Internal Mobility Program. Our Total Rewards Include: Competitive compensation packages including performance-based equity Comprehensive wellness through our MeeCare Program covering medical, mental, and financial well-being Flexible leave policies and parental support benefits to ensure work-life balance Relocation support, salary advances, and learning & development assistance Fun, collaborative culture with team engagement events, gifts, and recognition programs We are not just building a company; we re creating a movement. If you re driven by data and inspired to make a difference, come be a part of Meesho s journey to redefine e-commerce in India. Apply today and let's build the future of commerce, together. Qualification : Bachelors or Masters degree in Computer Science, Data Science, or a related technical field

Data Engineer, Product Analytics Location: Bangalore, India Full Time Company: Meta Meta is looking for an experienced Data Engineer to join our Product Analytics team. In this role, you will work on some of the most extensive data sets in the world, crafting experiences for billions of people and millions of businesses. Your technical expertise and analytical mindset will help shape data solutions across Meta to drive user experience optimization, growth, and strategy. You'll work alongside software engineers, data scientists, and product managers to tackle the most interesting data challenges at a scale few companies can match. Key Responsibilities: Conceptualize and own the data architecture for multiple large-scale projects, balancing design and operational cost-benefit tradeoffs. Design and contribute to frameworks that improve logging data efficacy, working with data infrastructure teams to resolve issues. Collaborate with engineers, product managers, and data scientists to understand data needs and represent insights meaningfully. Define and manage Service Level Agreements (SLAs) for all data sets in allocated areas of ownership. Implement and maintain security models based on privacy requirements and ensure safeguards are followed to ensure data quality. Design, build, and launch sophisticated data models and visualizations that support multiple use cases across various products. Address complex data integration challenges using optimal ETL patterns, frameworks, and techniques from structured and unstructured data sources. Optimize existing processes, pipelines, dashboards, and systems to enhance the development of data artifacts. Influence product and cross-functional teams to identify data opportunities that will drive impact. Mentor junior team members by providing constructive feedback and receiving feedback to grow as a team. Minimum Qualifications: Bachelor s degree in Computer Science, Computer Engineering, or a relevant technical field, or equivalent practical experience. 4+ years of experience in roles focused on data engineering, data analysis, or similar positions, working with SQL, ETL, data modeling, and programming languages (e.g., Python, C++, Scala). Experience with SQL, ETL processes, and data modeling, along with at least one programming language (e.g., Python, C++, C#, Scala). Preferred Qualifications: Master's or Ph.D. degree in a STEM field (Science, Technology, Engineering, Mathematics). About Meta: Meta builds technologies that help people connect, find communities, and grow businesses. Since launching Facebook in 2004, we have revolutionized how people connect. Our apps, including Messenger, Instagram, and WhatsApp, empower billions worldwide. Now, Meta is moving beyond 2D screens towards immersive experiences like augmented and virtual reality, building the next evolution in social technology. When you join Meta, you help shape the future of digital connection, taking us beyond screens, distance, and even the rules of physics. Equal Employment Opportunity: Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based on race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Qualification : Bachelors degree in Computer Science, Computer Engineering, or a relevant technical field, or equivalent practical experience.

Data Scientist with GenAI | Bengaluru, India About Wipro Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a global IT services and consulting company with over 230,000 employees in 65+ countries. We provide transformative digital solutions across consulting, engineering, and cloud. Job Overview We are seeking a skilled Data Scientist with Generative AI expertise to lead the development of AI/ML solutions using advanced technologies like LLMs, LangChain, and AWS. You will architect and implement end-to-end GenAI pipelines for enterprise-grade applications. Key Responsibilities Design and implement AI/ML solutions using Python and AWS. Develop GenAI systems using LLMs, LangChain, and RAG pipelines. Fine-tune AI models to optimize performance and accuracy. Create custom solutions when off-the-shelf tools don t meet requirements. Build SQL-based data pipelines extracting from Snowflake for model training. Integrate NLP capabilities into AI architecture to process textual data. Ensure responsible AI practices including security, fairness, and transparency. Lead and mentor team members, upholding coding and design standards. Communicate progress, risks, and strategies to stakeholders clearly. Mandatory Skills Python GenAI, LLMs AWS Cloud Services Preferred Skills NLP, AI/ML LangChain, RAG SQL, Snowflake Model fine-tuning and custom architecture development Join Wipro and be part of a global digital transformation journey. We empower talent to lead innovation and embrace reinvention. Applications from people with disabilities are explicitly encouraged.

Position: Talend Data Engineer Location: Bangalore, India Employment Type: Full-time Experience Required: 4 to 9 years Purpose of the Position: As a Talend Data Engineer, you will be responsible for designing, developing, and managing scalable ETL/ELT data pipelines both on-premise and in the cloud. You will work with technologies such as Talend Suite, Snowflake, and reporting tools to support high-impact data integration and business intelligence initiatives. Key Responsibilities: ETL/ELT Development: Design, develop, and deploy ETL/ELT workflows using Talend Data Integration and Talend Cloud. Data Transformation: Apply stored procedures for accurate and structured data processing. Reporting: Build reports using MicroStrategy and Power BI to support decision-making. Documentation: Maintain detailed documentation for pipelines, configurations, and processes to ensure data integrity and quality. Performance Monitoring: Monitor and optimize data pipelines, resolving data-related issues swiftly. Essential Skills: Hands-on experience with Talend Suite (Talend Data Integration, Talend Cloud). Strong skills in Snowflake and writing Stored Procedures. Expertise in ETL/ELT processes, data warehousing, and data modeling. Familiarity with data quality frameworks and job scheduling tools. Proficient in handling data formats like JSON, XML, CSV, and Parquet. Knowledge of Agile methodologies and tools such as JIRA. Desirable Skills: Experience with BI tools like MicroStrategy and Power BI. Proficiency in scripting languages such as Python, Java, or Shell scripting. Familiarity with cloud platforms (AWS, Google Cloud, Azure) and cloud-based data services. Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or related field. 6+ years of relevant experience with Talend and data engineering projects. Key Qualities: Strong consulting, writing, and presentation skills. Self-organized and collaborative in cross-functional teams. Open to feedback and iterative improvement. Effective communicator with clients across geographies. Analytical mindset with a research-oriented approach. Apply now and become part of a high-performing team delivering scalable data solutions across industries! Qualification : Bachelor's or Master's degree in Computer Science, Engineering, or related field.

Your Impact As a Data Engineer at QuantumBlack, you will collaborate with stakeholders, data scientists, and internal teams to develop and implement impactful data products and solutions. Your key responsibilities will include building and maintaining technical platforms for advanced analytics, designing scalable and reproducible data pipelines for machine learning, and ensuring information security within data environments. You will assess clients' data quality, map data fields to hypotheses, and prepare data for use in analytics models. Additionally, you will contribute to R&D projects, internal asset development, and participate in cross-functional problem-solving sessions with a variety of stakeholders, including C-level executives, to create innovative analytics solutions. You will be based in Gurugram, joining a global data engineering community, and work within cross-functional and Agile project teams alongside project managers, data scientists, machine learning engineers, other data engineers, and industry experts. You will collaborate directly with our clients, ranging from data owners and users to C-level executives. You will be aligned with one of our industry-focused practices: Pharma & Medical Products (PMP) or Global Energy & Materials (GEM). In these practices, you ll work on solving the most critical challenges for our clients in these sectors. PMP focuses on advancing the development and delivery of life-saving medicines and medical treatments, while GEM supports industries like chemicals, steel, mining, and energy to achieve operational excellence. GEMx and PMPx, the assetization arm of these practices, focus on creating reusable digital and analytics assets to support client work. As part of this team, you will help shape impactful solutions for large organizations, developing capabilities for sustained impact. Your Growth In this role, you will contribute to the frameworks and libraries that our teams of Data Scientists and Engineers use to progress from data to meaningful impact. You will have the opportunity to guide global companies through data science solutions, helping them transform and enhance performance across industries including healthcare, automotive, energy, and elite sports. Real-World Impact: You ll gain unique learning and development opportunities globally. Fusing Tech & Leadership: Work with the latest technologies and methodologies, with access to top-tier learning programs. Multidisciplinary Teamwork: Collaborate with data scientists, engineers, project managers, UX designers, and more to enhance performance. Innovative Work Culture: Creativity, passion, and wellness are central to our modern work environment, which includes insightful talks, training sessions, and a focus on work-life balance. Striving for Diversity: We celebrate diversity, with colleagues from over 40 nationalities, appreciating the value that diverse perspectives bring to the workplace. You are a highly collaborative individual who prioritizes impact over agenda. You enjoy learning from colleagues, challenging ideas thoughtfully, and working together to improve processes and solve problems. You believe in iterative change, experimenting with new approaches, and advancing quickly through constant learning and improvement. While we value using the right tech for the right task, our team often leverages technologies such as Python, PySpark, SQL, Airflow, Databricks, Kedro (our open-source data pipelining framework), Dask/RAPIDS, Docker, Kubernetes, and cloud solutions like AWS, GCP, and Azure. Your Role as a Data Engineer Collaboration: Work with business stakeholders, data scientists, and internal teams to create extraordinary, domain-focused data products (reusable assets) and deliver them to clients. Domain Expertise: Develop deep understanding of client industries and use creative techniques to deliver meaningful impact. Technical Platforms: Build and maintain technical platforms for advanced analytics engagements, spanning both data science and data engineering work. Data Pipelines: Design and implement robust, modular, scalable, deployable, and reproducible data pipelines for machine learning. Data Management: Ensure the security of data environments and compliance with information security standards. Data Wrangling: Assess data quality, map data fields to hypotheses, and prepare data for analytics models. Contribute to R&D: Participate in internal asset development and contribute to R&D projects to drive innovation. Cross-functional Problem Solving: Collaborate with internal teams and clients, including data owners and C-level executives, to create impactful analytics solutions. Your Qualifications and Skills Bachelor s degree in computer science or related field; Master's degree is a plus. 2-5 years of relevant work experience. Proficiency in at least one programming language such as Python, Scala, or Java. Strong experience with distributed processing frameworks (e.g., Spark, Hadoop, EMR) and SQL. Experience in commercial client-facing projects, particularly in close-knit teams. Ability to work with structured, semi-structured, and unstructured data, and identify linkages across disparate data sets. Clear communication skills to explain complex solutions effectively. Understanding of information security principles to ensure compliant handling of client data. Experience with cloud platforms (AWS, Azure, Google Cloud, Databricks) is highly desirable. Experience with CI/CD processes using GitHub Actions, CircleCI, or similar, and end-to-end pipeline development including application deployment is a plus. Qualification : Bachelors degree in computer science or related field; Master's degree is a plus.