Data Platform Engineer Jobs in Pune

AI/ML Engineer Experience: 2 3 Years Education: BBA, BSc, BTech/BE, MSc, MTech, MCA Location: Pune About the Role We are seeking a passionate AI/ML Engineer to design, build, and scale production-grade AI systems that power our platform. You will work on real-world AI problems such as document intelligence, real-time voice AI, and intelligent job-to-candidate matching systems. This role requires strong hands-on experience in LLM engineering, backend development, and AI system productionization. Required Skills Python (FastAPI) LangChain, LlamaIndex OpenAI API, Anthropic Good to Have Postgres (Pgvector), Supabase Redis Docker LangSmith GitHub Actions Roles & Responsibilities Build Agentic Workflows: Design and deploy AI agents capable of reasoning and decision-making using LangChain or LlamaIndex. Develop Voice AI Systems: Build low-latency, real-time conversational voice bots for candidate outreach using WebSockets, STT, and TTS, ensuring effective context retention and state management. Engineer Data Pipelines: Create robust parsing systems that enforce strict JSON outputs from LLMs for resume data extraction, along with data cleaning pipelines for unstructured formats (PDF/DOCX). Implement Advanced RAG Systems: Develop retrieval pipelines using Pgvector or Pinecone with hybrid search (semantic + keyword) for accurate job-to-candidate matching. Productionize & Monitor AI Systems: Set up tracing and observability using LangSmith to debug chains, monitor token usage, and optimize performance and cost. Backend Integration: Package AI logic into scalable, asynchronous microservices using FastAPI and Docker. Technical Requirements 1. Generative AI & LLM Engineering Experience enforcing structured JSON outputs using function calling. Strong prompt engineering skills (Chain-of-Thought, Few-Shot). Hands-on experience orchestrating complex AI pipelines using LangChain or LlamaIndex. 2. Voice AI & Real-Time Processing Experience with STT/TTS APIs (e.g., Whisper, Deepgram). Strong understanding of WebSockets and async programming for real-time audio streaming. Ability to design conversation managers with memory and context handling. 3. Search & Data (RAG) Experience with vector databases such as Pgvector, Pinecone, or Qdrant. Expertise in chunking, cleaning, and ingesting unstructured data. 4. MLOps & Production Engineering Observability and tracing using LangSmith. Writing automated AI evaluation scripts to test prompts before deployment. Experience optimizing cost by balancing model performance and token usage. 5. Core Backend Engineering Strong Python skills with FastAPI. Proficiency in async/await patterns for concurrent processing. Experience with Docker and relational databases (SQL). 6. Machine Learning & Algorithms Understanding of recommendation systems (Collaborative Filtering, Two-Tower models). Experience with ranking and re-ranking techniques (LTR, Cross-Encoders). Familiarity with traditional ML models using Scikit-learn or XGBoost. The Applied Mindset We Value Model Strategy: Ability to choose the right model based on cost, latency, and intelligence requirements. Security First: Awareness of prompt injection and jailbreaking risks and strategies to mitigate them. Hallucination Control: Strong grounding techniques to ensure factual and reliable AI outputs. Tech Stack Overview Languages: Python (FastAPI) AI & Orchestration: LangChain, LlamaIndex, OpenAI API, Anthropic Voice AI: Deepgram, Twilio Databases: Postgres (Pgvector), Supabase, Redis DevOps & MLOps: Docker, LangSmith, GitHub Actions Qualification : BBA, BSc, BTech/BE, MSc, MTech, MCA

Job Title: Engineering Manager Order Management System (OMS) Location: Pune Role Overview: As the Engineering Manager Order Management System (OMS), you will be responsible for leading the design, development, and continuous evolution of a large-scale, distributed eCommerce platform. This platform processes high transaction volumes and integrates with complex third-party systems. You will manage a full-stack engineering team, ensuring system scalability, performance, and resilience while fostering a culture of ownership, technical excellence, and collaboration. Key Responsibilities: Own the full product lifecycle: Lead the conceptualization, architecture, design, implementation, deployment, and maintenance of the OMS and its integrations. Lead and mentor a team of 10+ engineers, guiding them through technical challenges and driving both backend and frontend development efforts to successful delivery. Architect scalable, distributed systems that handle high volumes of orders, inventory updates, and third-party data exchanges across the platform. Drive eCommerce integration strategy, collaborating with various systems including marketplaces, ERPs, WMS, payment gateways, and 3PLs to ensure robust data synchronization. Take technical ownership of both backend and frontend components, from database schema and API design to UI architecture and performance optimization. Establish and enforce engineering best practices, including coding standards, CI/CD workflows, observability, and security compliance, to ensure consistency and quality across the team. Be **hands-on** when necessary actively contributing to code, reviewing critical modules, and troubleshooting complex production issues. Ensure high availability, scalability, and data integrity in every design decision, embedding performance and security into the development lifecycle. Collaborate cross-functionally with Product, QA, DevOps, and Customer Success teams to ensure alignment between technical delivery and business priorities. Recruit and develop talent within the team, conducting technical interviews and nurturing a strong engineering culture. What You ll Bring: 12+ years of software engineering experience, with at least 4 5 years of hands-on experience in Ruby on Rails (RoR) backend development. Proven success in building and scaling distributed, event-driven systems that can handle high transaction volumes and complex integrations. Strong Angular expertise: Experience leading teams to deliver rich, responsive web applications. Deep knowledge of eCommerce and OMS domain concepts, including order lifecycle, inventory management, shipments, returns, and third-party partner integrations. Expertise in PostgreSQL/MySQL: Proficiency in schema design, query optimization, and performance tuning. Familiarity with RESTful APIs, webhooks, and common integration patterns for external systems. Experience working with cloud platforms (preferably AWS) and managing CI/CD pipelines for continuous deployment and delivery. Proven experience as an Engineering Manager or Technical Lead, with a track record of mentoring engineers and managing delivery across multiple engineering modules. A passion for building reliable, secure, and performant systems that deliver measurable business impact and enhance the customer experience. Excellent communication, organizational, and problem-solving skills, with the ability to effectively manage complex technical challenges. A strong sense of ownership, self-motivation, and a growth-oriented mindset, always striving to improve processes and systems. Nice to Have: Experience with microservices, asynchronous job processing, or message queues (e.g., Sidekiq, Resque, RabbitMQ). Exposure to SaaS or multi-tenant architectures. Familiarity with containerization (e.g., Docker) and monitoring tools (e.g., Grafana, ELK, Prometheus). Understanding of API versioning, rate limiting, and data consistency patterns in large-scale distributed systems. Innovative Environment: Work on a high-impact eCommerce platform that powers complex integrations and supports millions of transactions globally. Leadership Opportunity: Lead and mentor a talented team of engineers while driving technical strategy and best practices. Career Growth: Be part of a rapidly growing company with opportunities to develop both technically and professionally in a collaborative, dynamic environment. Impactful Work: Your work will directly impact the success of a highly scalable, high-performance platform that serves leading global businesses. If you are an experienced engineering leader with a passion for building scalable and resilient systems in the eCommerce domain, we would love to hear from you!

AI Platform Engineer II Location: Pune Overview At Rapid7, we are looking for an AI Platform Engineer to help us build production-ready, agent-based AI experiences on Google Cloud (Vertex AI) and OpenAI platforms. You will be directly responsible for developing and shipping features such as AI agents, tools, and lightweight UIs that plug into our internal systems and data, driving productivity improvements across the company. As part of the AI Platform team, you will be involved in designing, implementing, and refining AI models and tools that integrate seamlessly with enterprise systems, while ensuring reliability, security, and scalability. Key Responsibilities Agentic Development with Vertex AI: Design and implement multi-step agents using Vertex AI (Agent Builder / Gemini), incorporating agent behaviors such as tool use, memory, and evaluation loops to create intelligent, autonomous workflows. MCP & Tool Integrations: Develop Model Context Protocol (MCP) connectors and API integrations that enable agents to interact with enterprise systems while maintaining least-privilege access and security standards. RAG & Data Grounding: Implement retrieval-augmented generation (RAG), utilizing vector stores, embeddings, and schema-aware prompts, while ensuring agents produce accurate and auditable outputs through robust guardrails. Vertex-based UI for Agents: Prototype intuitive chat interfaces and task UIs, including features like session history, tool invocation panels, and feedback widgets. Embed AI agents into existing internal applications to streamline workflows and improve user experience. Integration & Data Access: Connect AI agents to internal APIs and enterprise data sources (e.g., BigQuery, REST APIs, webhooks) using Google Cloud tools, ensuring smooth data access and system integration. Quality & Telemetry: Define key performance indicators (KPIs) such as quality, latency, and cost-efficiency for AI-powered features. Implement logging, monitoring, and observability to track performance and run structured experiments to improve agent behavior and outcomes. Requirements Experience 2 3 years of hands-on experience in software or AI application engineering, with a focus on creating and deploying custom AI agents, particularly using Gemini / Vertex AI Agent Builder. Technical Skills Proficiency with Google Cloud (Vertex AI, BigQuery, Cloud Run/Functions) and at least one large language model (LLM) API (e.g., OpenAI or Gemini). Experience building small end-to-end features, including backend APIs, agent logic, and basic UI for demos and production environments. Familiarity with agent frameworks such as LangGraph or LangChain, and common agent patterns like tool use, planning, and memory management. Knowledge of retrieval-augmented generation (RAG), including chunking, embeddings, and retrieval, along with prompt testing and evaluation. Collaboration Skills Ability to work cross-functionally with security, data, and application teams to ensure safe and efficient deployment of AI-driven solutions. Nice to Have Experience with GCP IAM, secrets management, and enterprise compliance considerations. Familiarity with Vertex AI Search, vector databases, or event/webhook architectures. Interest in emerging AI standards, MCP, responsible AI practices, and optimization for cost/performance. About Rapid7 At Rapid7, we are on a mission to create a secure digital world for our customers, industry, and communities. We empower our employees to challenge the status quo and drive transformative change. With over 11,000 customers relying on us for cybersecurity protection, we continue to innovate and solve some of the most challenging problems in the industry. Security and Compliance Rapid7 is committed to safeguarding our customers' security. All employees uphold the highest standards of security and privacy, ensuring sensitive information is protected and compliance with relevant regulations is maintained.

Position: Senior / Lead Java Developer Location: Pune Work Type: Full Time Minimum Experience: 6 8 Years Top Skills: Core Java, Spring Boot, Cloud-Native Microservices About the Role At Cognologix, we empower data-driven enterprises to harness the full potential of their data. From scalable analytics to machine learning platforms, we help clients navigate their digital transformation journeys. As a Senior/Lead Java Developer, you will work with modern cloud-native technologies to build distributed systems that process terabytes of data efficiently and intelligently. Key Responsibilities Collaborate with Data Scientists, Engineers, and Product Managers to transform complex data into actionable insights. Design and develop high-performance, low-latency Java-based microservices. Own the end-to-end architecture, implementation, and maintenance of backend systems. Design and implement REST APIs and contribute to living documentation and test specifications. Write clean, scalable, and testable code following best development practices. Build and maintain data pipelines using Apache Spark, Google Data Pipelines, or similar tools. Mentor junior developers and actively contribute to team growth and knowledge sharing. Continuously optimize and enhance the software development lifecycle. What You Bring (Must-Have Skills) 5+ years of hands-on experience building scalable cloud-native applications. Proficient in Java, Spring, Spring Boot, and Spring Security frameworks. Experience with Groovy, SQL, or NoSQL databases. Familiarity with distributed event-driven architectures using Kafka, GCP Pub/Sub, etc. Solid understanding of RESTful API design principles and performance optimization. Experience in working with Google Cloud Platform (GCP) and BigQuery is a plus. Nice to Have (Preferred Skills) Exposure to containerized environments and tools such as Docker, Istio, and Kubernetes. Experience with big data technologies like Apache Spark, Flink, or similar platforms. Understanding of CI/CD pipelines, DevOps practices, and cloud infrastructure automation. Full-stack development experience or a willingness to contribute beyond backend responsibilities. High autonomy, fast-paced environment, and flat hierarchy Work on emerging technologies and solve meaningful problems at scale Remote work options available for experienced professionals Competitive compensation and family-friendly benefits Clear path for performance-based career growth About Cognologix Cognologix helps companies disrupt and innovate by reimagining their business models. We specialize in building modern, scalable, cloud-native products with a focus on data engineering, analytics, and automation. Our agile teams deliver high-quality, tech-driven outcomes across industries and geographies.

Position: Associate Data Science Engineer Location: Pune, Maharashtra Work Type: Full Time Minimum Experience: 1 2 Years Top Skills: AI Applications, Python, Machine Learning, Deep Learning, NLP/NLG, Image Processing About the Role We are looking for a self-driven Associate Data Science Engineer to join our fast-growing Data & AI Practice. You will work on cutting-edge AI technologies and cloud-native solutions, helping build intelligent, high-impact products for our global clients. If you're passionate about AI/ML, Computer Vision, NLP, Generative AI, and developing scalable AI applications, this role is for you. What You Will Work On Contribute to the design, development, and deployment of AI-powered features and solutions. Collaborate with Product Management to translate business problems into AI/ML use cases. Build applications leveraging Computer Vision, NLP, Deep Learning, and Gen AI technologies. Develop and present functional prototypes, demos, and POCs. Stay current with the latest tools, frameworks, and research in ML, DL, and Gen AI. Participate in end-to-end project lifecycles from analysis to monitoring. What You Bring (Must-Have Skills) 1+ years of experience delivering AI/ML solutions through complete project lifecycle. Strong grasp of Linear Algebra, Statistics, and Probability. Proficiency in Python and data science libraries such as Pandas, NumPy, SciPy, scikit-learn, NLTK. Hands-on experience with ML/DL/NLP frameworks: TensorFlow, Keras, PyTorch, HuggingFace, spaCy, CoreNLP. Experience with Deep Learning models for Computer Vision and Object Detection. Solid knowledge of Generative AI, LLMs, and tools such as LangChain, LlamaIndex, Prompt Engineering. Strong analytical thinking, problem-solving ability, and effective communication. Great If You Also Know Experience with RAG frameworks, Function Calling, Agentic Frameworks, or Vector Search. Familiarity with cloud services: AWS (preferred), Azure, or Google Cloud Platform. Building APIs using FastAPI, async programming, and REST principles. Understanding of CI/CD, Docker/Kubernetes, and cloud-native deployment pipelines. Exposure to MLOps / LLMOps: versioning, tuning, deployment, and monitoring of models. Comfort with data visualization tools and practices. Agile development experience (Scrum, Kanban, etc.). Startup culture, small teams, and a high degree of autonomy. Work on next-gen technologies in AI, ML, GenAI, and cloud computing. Remote working options based on experience and maturity. Competitive salary and family-friendly benefits. Clear, performance-based career growth path. About Cognologix Cognologix helps businesses reimagine and innovate through modern data and cloud-native solutions. With a strong focus on data science, automation, and intelligent applications, we partner with organizations to deliver cutting-edge products in the most efficient and scalable ways. We thrive in a fast-paced, tech-first environment where innovation meets execution.

Position: Senior Data Engineer Location: Pune Employment Type: Full-Time Company: vConstruct (Construction Technology Company) About vConstruct vConstruct is a Pune-based construction technology company focused on leveraging data science and analytics to transform the construction industry. Our Data Science and Analytics team is a close-knit group dedicated to supporting the business with robust data infrastructure and insightful analysis. Role Overview We are seeking a highly experienced Senior Data Engineer to lead the design, development, and maintenance of scalable data pipelines and infrastructure. This role involves working closely with cross-functional teams to manage diverse data sources, ensure data integrity, and support data-driven business initiatives. Key Responsibilities Lead the design and development of scalable, high-performance data pipelines and ETL/ELT frameworks following modern data engineering best practices. Architect complex data integration workflows that unify structured, semi-structured, and unstructured data from cloud and on-premise sources. Develop robust real-time, batch, and on-demand data pipelines equipped with monitoring, alerting, and automated error handling. Collaborate with analysts, data scientists, and business leaders to create reliable data models, quality frameworks, and SLAs. Ensure optimal pipeline performance, throughput, and proactive issue resolution. Work with platform, DevOps, and architecture teams to build secure, reusable, and CI/CD-enabled data workflows aligned with enterprise standards. Enforce best practices in source control, code reviews, testing automation, and continuous delivery. Lead root cause analysis and preventive maintenance to minimize business impact from data failures. Establish standards for data modeling, transformation logic, and governance. Design and execute comprehensive testing strategies to ensure data reliability and pipeline resilience. Optimize pipeline and query performance for scalability, reliability, and cost-efficiency. Maintain detailed technical documentation including architecture diagrams, process flows, and integration specs. Facilitate discussions with business and operational teams to prioritize data initiatives and drive strategy. Qualifications 7-10 years of hands-on experience in data engineering with a track record of building scalable and secure data platforms. 5+ years of scripting experience in Python for data processing, automation, and ETL development. 4+ years experience with Snowflake, including performance tuning, security, and advanced SQL. 5+ years experience with data integration tools like Azure Data Factory, Fivetran, or Matillion. 5+ years writing complex, optimized SQL queries on large datasets. Proven experience integrating APIs, JSON, XML, and webhooks for data acquisition. Hands-on experience with cloud platforms (Azure/AWS) and orchestration tools such as Apache Airflow. Experience with CI/CD pipelines, automated testing, and code versioning tools (e.g., Git). Familiarity with dbt or similar transformation tools and modular development practices. Experience with data visualization tools like Power BI is a plus. Strong interpersonal and communication skills to lead cross-functional technical discussions. Education Bachelor s or Master s degree in Computer Science, Information Technology, or a related field. Equivalent academic and professional experience will also be considered. Qualification : Bachelors or Masters degree in Computer Science, Information Technology, or a related field

Senior ETL Engineer Location: Pune Role Overview: We are seeking a Senior ETL Engineer to design, develop, and optimize our end-to-end data infrastructure, including ETL pipelines, data lakes, and data warehouses. This role is instrumental in enabling reliable, scalable, and high-performance data operations while aligning with data governance best practices. You will be an integral part of a collaborative data team, working closely with Data Engineers, Architects, Analysts, Scientists, and other stakeholders to modernize and migrate our data systems to the cloud. Key Responsibilities: Convert SSIS stored procedures into Matillion mappings, and develop associated job schedules and audit frameworks. Design, build, and maintain efficient ETL pipelines to extract, transform, and load data from multiple sources into the data lake and data warehouse. Implement both full and incremental loads using SCD (Slowly Changing Dimensions) and CDC (Change Data Capture) methodologies for real-time and batch data processing. Develop and maintain robust error handling, job monitoring, and job audit mechanisms. Conduct data profiling, data cleansing, and root cause analysis to resolve data inconsistencies and improve data quality. Optimize data pipelines for performance, scalability, and data quality, using benchmarking and tuning techniques. Build dashboards or reports for ETL job monitoring, performance tracking, and system health checks. Support data governance practices, ensuring accuracy, availability, and security of production data. Contribute to cloud migration initiatives, transitioning data workloads from on-premise systems to modern cloud data platforms. Required Skills & Qualifications: Bachelor's degree in Computer Science, Engineering, or a related field. 5+ years of experience as an ETL Engineer, Data Engineer, or in a similar data engineering role. Experience with cloud-based data platforms such as AWS, Azure, or GCP. Proficiency with data warehousing technologies like Snowflake, Redshift, Azure Synapse, or Databricks. Hands-on experience with ETL tools such as Matillion, SSIS, Informatica, AWS Glue, Azure Data Factory, StreamSets, STRiim, Oracle ODI, Coalesce, or Talend. Solid understanding of data modeling principles (E/R and Dimensional Modeling) and tools like ER/Studio or ERwin. Proficiency with SQL and programming/scripting languages such as Python, Scala, or Java. Experience with database tools such as Microsoft SSMS or Oracle Developer. Strong analytical, problem-solving, and data troubleshooting skills. Excellent communication and collaboration abilities. Ability to work efficiently in a fast-paced, agile, and dynamic environment. Qualification : Bachelor's degree in Computer Science, Engineering, or a related field.

Job Title: Manager, Cloud Operations Company: Druva Location: Pune, Maharashtra, India About Druva: Druva is a global leader in data security solutions, empowering organizations to protect and recover their data from all threats. Our Druva Data Security Cloud is a fully managed SaaS platform providing air-gapped and immutable data protection across cloud, on-premises, and edge environments. By centralizing data protection, we strengthen traditional security approaches and enable faster incident response, effective cyber remediation, and robust data governance. Trusted by nearly 7,500 customers including 75 of the Fortune 500 Druva safeguards critical business data in an increasingly connected world. Learn more at druva.com and follow us on LinkedIn, X, and Facebook. Role Overview: As Manager of Cloud Operations, you will lead the team responsible for the stability, scalability, and performance of Druva s cloud infrastructure within our large-scale SaaS environment. This hands-on leadership role demands a deep technical background in AWS cloud operations combined with strong people management skills. You will drive operational excellence through automation, cost management, and rigorous adherence to security and compliance standards, ensuring our services remain highly available 24x7. Key Responsibilities: Team Leadership & Development: Lead, mentor, and support a team of cloud engineers to deliver high-quality results. Foster a collaborative environment and remove blockers to maximize team productivity. Manage hiring, coaching, and retention to build a high-performing team. Technical Strategy & Execution: Drive automation initiatives to minimize manual tasks, boost reliability, and optimize operational workflows. Enforce compliance with security policies and industry regulations. Collaborate closely with DevOps and SRE teams to continuously enhance infrastructure and processes. Champion cost-efficiency while maintaining top-tier system performance. System Reliability & Performance: Monitor and review system health regularly; identify and address any breaches in Service Level Objectives (SLOs). Ensure cloud infrastructure is secure, scalable, and highly available through proactive incident management. Lead incident response, root cause analysis, and post-mortems to improve service resilience. Cross-Functional Collaboration: Partner with engineering teams to ensure smooth deployment of SaaS services to production. Conduct cross-team meetings to communicate deployment quality and status with Release and Host Domain (RHD) owners. Cost of Goods Sold (COGS) Management: Maintain adherence to reservation posture and optimize cloud resource usage. Detect and report COGS anomalies using automated tools and internal alerts. Analyze unit cost trends and customer behavior to identify and address cost irregularities. Security & Compliance: Conduct regular compliance validations and audits. Work with security teams to plan and execute quarterly security roadmap initiatives. Respond promptly to critical security alerts and incidents. Qualifications: 8 10 years of experience in Cloud Operations with at least 2 years in a leadership role. Strong expertise in AWS cloud infrastructure management. Proven track record in driving automation and operational improvements. Deep understanding of system reliability engineering (SRE) and incident management. Experience with cost management and security compliance in cloud environments. Excellent communication and people management skills. If you re passionate about leading cloud operations teams and building secure, reliable SaaS infrastructure at scale, we d love to hear from you!

Job Title: Staff Software Development Engineer in Test (SDET) Company: Druva Location: Pune, India About Druva: Druva is the autonomous data security company that puts data protection on autopilot. Our 100% SaaS, fully managed platform safeguards and recovers data from all threats, ensuring availability, confidentiality, and integrity. Trusted by over 6,000 customers, including 65 of the Fortune 500, Druva delivers autonomous protection, rapid incident response, and guaranteed data recovery backed by our $10 million Data Resiliency Guarantee. As the security landscape evolves, Druva remains at the forefront, defending business-critical data in today s interconnected world. About the Cloud Platform Team: The Cloud Platform team is the backbone of Druva s SaaS operations. We design and build key features that serve both customer-facing products and internal stakeholders, playing a crucial role in scaling Druva s architecture. Our focus spans Druva Cloud Platform, Product-Led Growth (PLG), MSP Solutions, Ecosystem & Integrations, Licensing, Billing, and Revenue Systems. Together, we ensure Druva s platform is robust, scalable, and ready for the future. Role Overview: We are looking for a talented Staff SDET with 3-5 years of experience specializing in Python-Selenium automation. You will design and develop automation frameworks, create comprehensive test plans, and ensure the quality of Druva s web applications. The ideal candidate has a strong foundation in QA principles and hands-on experience in automation frameworks, along with a passion for delivering high-quality software. Key Skills & Experience: 3-5 years of experience in automation testing. Proficient with Python-Selenium, pytest, and Robot Framework. Familiarity with Unix/Linux environments, Docker, CI/CD pipelines, and version control systems like SVN/Git. Strong knowledge of automation testing principles, manual testing concepts, and various testing methodologies. Experience working with SQL databases such as MySQL, Oracle, PostgreSQL RDS. Ability to quickly analyze test failures and trace issues to product or automation code. Experience with test management tools such as X-Ray. Desirable: Exposure to AWS cloud ecosystem. Experience working within Agile frameworks such as Scrum, including story breakdown and story pointing. Responsibilities: Develop detailed test plans for medium to large-scale features. Design and enhance automation frameworks to support feature test automation. Maintain and extend existing automation suites, writing new test cases and fixing broken tests. Participate actively in test case and code reviews. Engage in bug triaging and track quality assurance metrics. Identify bottlenecks in QA processes and recommend improvements. Soft Skills: Excellent communication and teamwork abilities. Strong problem-solving skills with keen attention to detail. Ability to prioritize tasks and deliver results in a fast-paced environment. If you re passionate about quality engineering and eager to contribute to a cutting-edge cloud security platform, join us at Druva and help build the future of autonomous data protection.

Job Title: Senior Staff Software Engineer (Foundation) Company: Druva Location: Pune, India About Druva: Druva empowers organizations with cyber, data, and operational resilience through the Data Resiliency Cloud the industry s first and only SaaS solution at scale. Our platform simplifies data protection, streamlines governance, and provides unparalleled data visibility and insights, enabling customers to accelerate cloud adoption. Trusted by thousands of enterprises, including 60 of the Fortune 500, Druva eliminates complex infrastructure and management costs by delivering data resilience through a single platform spanning multiple geographies and cloud environments. About the Role: The Foundation team at Druva designs and develops a highly scalable, petabyte-scale distributed cloud file system built on AWS. This service-oriented system handles critical features such as file system metadata management, versioning, and eventual consistency using AWS services like S3, DynamoDB, and Kinesis. Beyond the core file storage engine which supports backup storage for all Druva products the team builds and maintains allied components like indexing engines, key-value stores, and big data pipelines to enable scalable search, analytics, and compliance capabilities. As a Senior Staff Software Engineer, you will collaborate closely with cross-functional teams, architects, and DevOps to define high-level and low-level designs (HLD/LLD) for advanced data security and management services. You will stay abreast of emerging trends in data security, platforms, technologies, and APIs, applying these insights to enhance existing features and develop new capabilities. You will also mentor and guide junior engineers, fostering a culture of high-quality, high-velocity software development. Key Skills & Experience: 5 to 7 years of experience building enterprise-grade software products. Expertise in designing and implementing SaaS solutions at scale. Proficiency in Python or Golang for software development. Deep knowledge and hands-on experience with cloud storage and data management systems. Proven experience building storage systems focused on securing and protecting data at scale, including managing data and metadata. Prior experience working on data protection products is highly desirable. Familiarity with cloud platforms such as AWS and Azure is a plus. Strong hands-on developer with excellent communication and collaboration skills. Ability to influence architecture, design, and implementation for timely delivery of business outcomes. Desirable: Strong written and verbal communication skills. Experience with Agile methodologies (Scrum). In-depth knowledge of AWS cloud technologies. Responsibilities: Collaborate with architects, developers, and DevOps to define HLD and LLD for data security and management services and features. Monitor and evaluate emerging trends in data security, management platforms, technologies, and APIs to refine and develop features. Lead the integration of data management tools and applications to enhance product quality and user experience. Promote best practices and principles of high-quality SaaS software development. Mentor and train junior engineers on data management, security principles, and agile development methodologies. Qualifications: Bachelor s or Master s degree in Computer Science, Engineering, or a related field (Advanced degree preferred). Qualification : Bachelors or Masters degree in Computer Science, Engineering, or a related field (Advanced degree preferred).

Job Title: Staff Data / Machine Learning Engineer Company: Druva Location: Pune, Maharashtra, India About Druva: Druva, the autonomous data security company, delivers data protection on autopilot through a 100% SaaS, fully managed platform that secures and recovers data from all threats. The Druva Data Security Cloud guarantees data availability, confidentiality, and integrity providing customers with autonomous protection, rapid incident response, and guaranteed data recovery. Trusted by over 6,000 customers worldwide including 65 of the Fortune 500 Druva safeguards business-critical data in today s connected world. Backed by over $350M in venture capital, Druva protects more than 200 PB of data globally and offers a $10 million Data Resiliency Guarantee against cyber threats. The Role & Team: Join Druva s Business Intelligence team, where data drives key insights and fuels operational and strategic decisions. As a Staff Data/Analytics/ML Engineer, you will lead the development of data-to-insights recommendation engines and drive collaboration across teams to deliver impactful, data-driven solutions. This is a high-impact role working alongside expert engineers and product leaders, leveraging industry-leading data platforms and tools. What You ll Do: Bridge the gap between data engineering, analytics, and machine learning to unlock actionable business insights. Collaborate cross-functionally with Product, Engineering, GTM, and Customer Success teams to build data-driven solutions that enhance decision-making and business outcomes. Design, build, and maintain scalable data pipelines and infrastructure supporting analytics, machine learning, and operational workflows. Develop and optimize data models for efficient analytics and reporting across large datasets. Lead feature engineering, model training, and deployment pipelines for real-time and batch ML/AI applications. Drive architectural improvements in data governance, observability, and platform scalability. Evaluate and implement cutting-edge data tools and platforms including Reverse ETL, MLOps, and DataOps frameworks. Mentor and guide data engineers, analysts, and ML practitioners, fostering technical excellence and collaboration. Translate complex business requirements into technical deliverables, prioritizing initiatives that maximize impact. What We Are Looking For: Bachelor s or Master s degree in Computer Science, Data Science, Engineering, Statistics, or a related field. 7+ years experience spanning data engineering, analytics engineering, and machine learning with a strong technical foundation in all three areas. Expertise in modern data stacks: Snowflake, dbt, Airflow, Spark, and cloud platforms (AWS, GCP, Azure). Proficiency with BI and analytics tools such as Looker, Sigma, Tableau, Power BI, or equivalents. Strong skills in SQL, Python, and distributed data processing frameworks (Spark, Dask, etc.). Experience designing and maintaining data pipelines, ETL/ELT workflows, and data transformations for analytics and ML use cases. Familiarity with ML frameworks like TensorFlow, PyTorch, Scikit-learn, and MLOps lifecycle management. Deep knowledge of data modeling, architecture, and governance best practices. Proven problem-solver who thrives in ambiguity and designs robust data solutions. Experience working in Agile environments with strong prioritization and collaboration skills. Excellent communication skills, capable of simplifying complex technical topics for non-technical stakeholders. Bonus Points For: Experience with Generative AI, LLMs, and integrating AI into business workflows. Knowledge of streaming architectures (Kafka, Kinesis, Pub/Sub) and real-time analytics. Familiarity with Data Contracts, Data Quality frameworks, or Data Mesh architectures. Experience with Reverse ETL tools such as Salesforce, Census, Hightouch, or Segment for operational analytics. If you re passionate about driving data innovation at scale and want to work in a dynamic environment protecting the world s critical data, Druva invites you to join our team! Qualification : Bachelors or Masters degree in Computer Science, Data Science, Engineering, Statistics, or a related field.

Job Title: Principal Engineer (Malware Research Scientist) Company: Druva Location: Pune, Maharashtra, India About Druva: Druva, the autonomous data security company, delivers a 100% SaaS, fully managed platform that secures and recovers data from all threats. The Druva Data Security Cloud guarantees data availability, confidentiality, and fidelity providing autonomous protection, rapid incident response, and assured data recovery. Trusted by over 6,000 customers including 65 of the Fortune 500, Druva protects business-critical data in today s evolving threat landscape. With a $10 million Data Resiliency Guarantee, Druva ensures robust defense against all cyber threats. Role Overview: As a Principal Engineer (Malware Research Scientist), you will lead the design and establishment of a cutting-edge malware analysis lab and manage a team of researchers focused on deep technical investigations. You will conduct hands-on research, especially on ransomware, to uncover threat behaviors and generate actionable intelligence. Your insights will directly influence product security features by providing malware artifacts and indicators of attacks (IOAs) to engineering and product teams, strengthening Druva s product security posture. Key Skills & Expertise: Proven background as an Enterprise Security Architect or equivalent. Expertise in threat modeling and risk mitigation at organizational and technical levels. Comprehensive understanding of cloud security (AWS, Azure, OCI), Linux, M365 application/API security, firewalls, IDS/IPS, sandboxing, threat intelligence, vulnerability assessment, SIEM, auditing, encryption, and data loss prevention. Relevant certifications such as OSCP, SANS, or equivalent security certifications are highly desirable. Strong communication skills with the ability to present complex technical topics clearly. Deep technical knowledge of malware behavior, cyber kill chain, incident response, forensic data collection, disaster recovery, and ransomware impact. Hands-on experience in these areas is preferred. Roles & Responsibilities: Technical Leadership & Research: Design, implement, and maintain a secure and scalable malware analysis lab. Perform in-depth analysis of malware samples with a focus on ransomware variants. Utilize reverse engineering, static, and dynamic analysis techniques to dissect malware behavior and tactics. Identify, document, and communicate Indicators of Compromise (IOCs), MITRE ATT&CK TTPs, and Indicators of Attack (IOAs). Analyze ransomware impacts on data, cloud infrastructure (AWS, Azure, GCP), and SaaS platforms (M365, Google Workspace). Develop innovative detection and mitigation strategies for advanced malware threats. Stay abreast of emerging threat trends through continuous research and threat intelligence gathering. Collaboration & Communication: Partner with Product Managers to align research with customer requirements and support development of security features. Work with marketing to translate research insights into technical content like whitepapers, blogs, and presentations. Translate technical findings into clear, actionable reports for technical and non-technical stakeholders. Collaborate with engineering and security teams to integrate threat intelligence into incident response and security operations. Present research outcomes and threat intelligence updates to internal teams and leadership. Qualifications: Bachelor s or Master s degree in Cybersecurity, Computer Science, or a related discipline (or equivalent experience). 10+ years of experience in malware analysis and threat research. Proven track record of leading and mentoring security research teams, including training interns and junior researchers. Deep expertise in malware analysis techniques such as reverse engineering, static analysis, dynamic analysis, and sandbox environments. Strong knowledge of ransomware variants and their operational impact on various infrastructures. Excellent verbal and and written communication skills. Ability to manage multiple projects, work independently, and prioritize tasks effectively. A passionate and proactive approach to staying ahead in the cybersecurity threat landscape. If you re ready to lead high-impact malware research and shape the future of cyber resilience, Druva offers a compelling opportunity to join a world-class team protecting data on a global scale. Qualification : Bachelors or Masters degree in Cybersecurity, Computer Science, or a related discipline (or equivalent experience).

Job Title: Data Architect Cloud, Big Data & Scalable Data Engineering Location: Pune, India Experience Level: 7+ Years Job Type: Full-Time | On-site / Hybrid (Specify your policy) Job Summary We are seeking a visionary Data Architect based in Pune to lead our data engineering practice within product engineering services. This strategic role involves shaping the organization's data architecture, defining best practices for data lakes and data warehouses, and guiding architectural decisions across data engineering initiatives. If you're passionate about building cloud-based, future-ready data platforms using tools like Databricks, Snowflake, AWS, Azure, and Google BigQuery, this is your opportunity to make a significant impact. Key Responsibilities Design and implement enterprise-wide data architecture strategies, including data modeling, data governance, and integration frameworks. Lead the development of scalable data lakes, data warehouses, and data marts, especially using Databricks and medallion architecture. Build and optimize robust ETL/ELT data pipelines and real-time streaming solutions. Collaborate with security teams to implement strong data security and compliance practices, including GDPR and CCPA regulations. Standardize data governance policies and drive data quality across platforms and business units. Work closely with data engineers to implement high-performance cloud-native storage solutions using Azure ADLS Gen2, AWS S3, etc. Evaluate and introduce innovative data platforms, tools, and frameworks to enhance engineering capabilities. Provide technical leadership and mentorship to engineering teams across all data initiatives. Translate business data needs into technical architectures and create detailed documentation (e.g., ERDs, data flow diagrams, integration maps). Required Qualifications Bachelor s or Master s degree in Computer Science, Information Systems, or a related field. 7+ years of experience in data architecture, data engineering, or enterprise data solutions. Strong command of data modeling techniques (e.g., dimensional, data vault). Experience with relational databases (e.g., Oracle, SQL Server, PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra). Hands-on expertise with Databricks, Snowflake, Amazon Redshift, or Google BigQuery. Knowledge of cloud platforms such as AWS, Azure, or GCP and their data ecosystems. Proficiency in SQL and at least one programming language (Python, Java, Scala). Familiarity with ETL/ELT tools, data pipeline orchestration (e.g., Airflow), and real-time streaming (e.g., Kafka, Flink). Solid understanding of data security, compliance, and data governance frameworks. Experience with Power BI, Tableau, or similar tools from an architectural standpoint. Preferred Qualifications Exposure to machine learning architectures and MLOps pipelines. Understanding of graph databases (e.g., Neo4j) and semantic data layers. Familiarity with data mesh, data fabric, and modern data management paradigms. Hands-on experience with real-time data streaming frameworks like Apache Flink, Kafka, or Spark Streaming. Be a key architect in shaping enterprise-wide data strategies and infrastructure. Collaborate with top-tier engineers and data scientists in India s growing tech hub. Access the latest cloud, AI, and big data tools and work on high-impact, global projects. Thrive in a culture that encourages innovation, ownership, and continuous learning. Qualification : Bachelors or Masters degree in Computer Science, Information Systems, or a related field.

Salesforce Developer Pune (Kalyani Nagar) Location: Pune Kalyani Nagar (Hybrid: 4 Days/Week) Experience: 4+ Years Start Date: Immediate Salary: Best in Industry Employment Type: Full-Time Education: Bachelor s Degree (Preferred in Computer Science or IT) About the Role: We are looking for an experienced and passionate Salesforce Developer to join our growing team in Pune. This role involves working on Salesforce Sales Cloud, Lightning Web Components (LWC), Apex, and a wide range of Salesforce CRM customization and integration projects. You will be responsible for delivering high-quality, scalable Salesforce solutions that meet business objectives. Key Responsibilities: Design, develop, and deploy custom Salesforce solutions using Apex, Visualforce, Lightning Web Components, and Salesforce APIs. Create and maintain technical design documents based on business requirements. Collaborate with cross-functional teams including architecture, platform engineering, implementation partners, and third-party vendors. Follow Salesforce development best practices for integration, code quality, and scalability. Ensure on-time delivery of tasks with high quality and adherence to coding standards. Develop and manage custom applications, workflows, triggers, flows, and process builders within Salesforce. Identify and recommend solutions to enhance business processes using Salesforce tools. Lead and support release management processes, including change management and code deployment. Continuously research new Salesforce features and capabilities to improve productivity. Required Skills & Qualifications: Minimum 4 years of hands-on experience as a Salesforce Developer. Strong knowledge of Salesforce architecture, APIs, and data models. Expertise in Apex classes, triggers, batch jobs, queueable Apex, and asynchronous processes. Proficiency in Visualforce, Lightning Components, and Lightning Web Components (LWC). Experience with Sales Cloud, Service Cloud, and Community Cloud. Familiarity with Salesforce data tools like Apex Data Loader and third-party integrations. Demonstrated experience in integrating Salesforce with external systems (real-time, batch, sync/async). Solid understanding of relational databases and enterprise integration patterns. Excellent communication skills and ability to interact effectively with both business users and technical teams. Strong analytical and problem-solving skills with keen attention to detail. Preferred Certifications: Salesforce Platform Developer I (PD1) Salesforce Platform Developer II (PD2) Salesforce Sales Cloud Consultant Join a fast-growing tech company with exciting Salesforce projects. Hybrid work environment in Pune (Kalyani Nagar). Work on cutting-edge Salesforce technologies and enterprise-level integrations. Opportunity to grow professionally in a collaborative and supportive environment. Apply Now to take your Salesforce career to the next level with us. Qualification : Bachelors Degree

Senior Software Engineer CPD (SME - Linux/Systems) Location: Pune, India About the Role & Team As a Senior Software Engineer in the Continuous Product Delivery (CPD) team, you will lead a small team and collaborate closely with core engineering, product, and support teams. Your focus will be ensuring long-term stability and enhancing the customer experience for Rubrik s data backup and management products. You will gain deep knowledge of Rubrik s distributed job framework, data lifecycle management, filesystem, and metadata store. The CPD team, working alongside Platform and Systems Engineering, is tasked with developing a secure, scalable, and high-performance software-defined platform to simplify the management of physical and virtual appliances both on-premises and in the cloud. Rubrik values engineers who take ownership, exercise judgment, and are empowered to make critical decisions that drive customer delight. Key Responsibilities Own the full lifecycle of features including design, implementation, and testing. Design and develop infrastructure services for Linux kernel and Ubuntu OS upgrades. Diagnose and resolve complex customer environment issues. Write and maintain code primarily in Python and/or Scala. Troubleshoot complex software problems efficiently. Collaborate cross-functionally to define and deliver new features. Maintain technical documentation and participate in code reviews. Drive continuous process and software quality improvements. Stay current with emerging software development trends. About You BTech/MTech/PhD in Computer Science or related field. 6 10 years of software development experience on Linux, preferably in Platform, Systems, Kernel, or Networking domains. Strong fundamentals in data structures, algorithms, and distributed system design. Deep knowledge of Linux distributions, especially Ubuntu. Strong systems programming skills and expertise in debugging and performance troubleshooting. Experience performing Linux kernel upgrades and kernel debugging. Proficiency in scripting languages and one or more of C++, Java, or Scala. Experience in large distributed systems design is preferred. Familiarity with storage, filesystems, or data protection technologies is a plus. Excellent communication and teamwork skills. About Rubrik Rubrik (NYSE: RBRK) is on a mission to secure the world s data through its Zero Trust Data Security platform. Leveraging machine learning, Rubrik Security Cloud safeguards data across enterprise, cloud, and SaaS applications, ensuring data integrity, availability, and resilience against cyber threats and operational disruptions. Qualification : BTech/MTech/PhD in Computer Science or related field.

Senior Software Engineer Continuous Product Delivery (CPD) Location: Pune, India About the Role & Team As a Senior Software Engineer in the CPD team, you will play a vital role in ensuring long-term stability and exceptional customer experience for Rubrik s on-premise data backup and management platform. You will collaborate closely with core engineering, product, and support teams while gaining deep expertise in Rubrik s distributed job framework, data lifecycle management, filesystem, and metadata store. We are looking for a highly skilled C++ developer with familiarity in Python and/or Scala, capable of developing and maintaining high-performance software applications. You will be empowered to take ownership, exercise sound judgment, and make impactful decisions, fostering a motivated and engaged engineering culture. Key Responsibilities Design, develop, and maintain high-quality software applications and libraries primarily in C++. Write and maintain supporting code in Python and/or Scala as needed. Troubleshoot complex software issues quickly and accurately. Collaborate with cross-functional teams to define, design, and deliver new features. Participate in code reviews, maintain coding standards, and author technical documentation. Drive continuous software quality and process improvements. Stay current with emerging software development trends and technologies. Qualifications & Skills B.Tech/M.Tech with 9 13 years of professional software development experience. Strong programming and troubleshooting skills, especially in C++. Proven ability to debug complex issues and deliver timely fixes. Excellent software design skills with understanding of distributed systems and multi-threading. Knowledge of the storage domain is a plus. Familiarity with operating systems such as Windows. Solid grasp of data structures, algorithms, design patterns, networking protocols, and security concepts. Experience with software development methodologies, tools, and processes. Strong analytical, problem-solving, communication, and teamwork skills. About Rubrik Rubrik (NYSE: RBRK) is on a mission to secure the world s data through its Zero Trust Data Security platform. Powered by machine learning, Rubrik Security Cloud protects data across enterprise, cloud, and SaaS applications helping businesses maintain data integrity, availability, and resilience against cyberattacks and disruptions.

Software Engineering Manager Continuous Product Delivery (CPD) Location: Pune, India About the Team & Role As an Engineering Manager in the CPD Pune team, you will lead multiple software engineering teams focused on delivering long-term stability and exceptional customer experience for Rubrik s on-premise data backup and management platform. You will combine strong technical expertise with empathetic leadership to build high-performing teams and foster a culture centered on customer success and product quality. In this role, you will own the accountability for driving product stability, quality improvements, and successful roadmap delivery. You will collaborate closely with product managers, support teams, and other engineering leaders across India and the US, championing customer-centricity and continuous improvement. Key Responsibilities Hire, build, and grow strong, high-performing engineering teams. Lead by example with hands-on technical and operational involvement. Establish a culture of excellence, accountability, and customer focus. Collaborate with customers and support to troubleshoot and prioritize issues. Partner with Product Management and stakeholders to plan and deliver product roadmaps end-to-end. Drive metrics-driven initiatives to improve key performance indicators such as MTTR (Mean Time To Recovery) and reduce customer-found defects. Work with engineering leadership to improve product quality through fixes, tooling, and documentation. Manage project planning and prioritization, balancing roadmap delivery with operational needs. Mentor and coach engineers and senior contributors to maximize their growth and performance. Effectively handle customer escalations, leading from the front to ensure quick resolution. Qualifications & Skills Bachelor s degree in Computer Science or equivalent engineering discipline. 14+ years of industry experience with 2+ years in engineering management roles. Proven experience in solving complex problems and leading large-scale projects in distributed systems, preferably in storage, data protection, or security domains. Demonstrated ability to build and develop engineering teams. Strong communication skills, both written and verbal. Experience delivering enterprise-grade products with high quality standards. Skilled in managing hot customer escalations and driving quick turnarounds. Comfortable working with stakeholders across India and US time zones. About Rubrik Rubrik (NYSE: RBRK) is dedicated to securing the world s data through its Zero Trust Data Security platform. Powered by machine learning, Rubrik Security Cloud protects data across enterprise, cloud, and SaaS applications ensuring data integrity, availability, and resilience against cyberattacks and operational disruptions. Qualification : Bachelors degree in Computer Science or equivalent engineering discipline

About Talentica Software: Talentica Software is a specialized software development firm founded by seasoned industry experts and alumni of IIT Bombay. We partner with startups to create innovative products, using cutting-edge technologies to address real-world challenges. With over 21 years of experience, we have collaborated with more than 180 startups, primarily in the U.S., contributing to many successful exits. In 2022, Talentica Software was honored as one of India s Great Mid-Size Workplaces by Great Place to Work. What We re Looking For: We are seeking a motivated Data Analyst to join our growing team. If you're passionate about working with SQL, BigQuery, Tableau, and MongoDB, and enjoy optimizing data ecosystems, we d love to hear from you! In this role, you will play a key part in managing and enhancing our data infrastructure, working across SQL (Oracle), BigQuery, Tableau, and NoSQL databases like MongoDB. You'll also help build our Lakehouse architecture and ensure data accuracy while supporting the scalability of our platform. Your Responsibilities: Develop, optimize, and maintain SQL queries to support efficient data delivery for Tableau reports. Write and refine complex queries for Oracle and BigQuery databases to meet business reporting needs. Utilize MongoDB to query semi-structured data for analytics and reporting. Collaborate with BI developers and analysts to streamline data workflows and enhance report accuracy. Design and manage ETL/ELT pipelines for smooth data ingestion and transformation. Work with cross-functional teams to identify and implement improvements in data workflows. Troubleshoot and resolve data issues as they arise. Contribute to the early-stage development of our Lakehouse architecture. Prepare existing data workflows for seamless integration with modern cloud platforms. Stay current with emerging data technologies and contribute to ongoing modernization efforts. Perform data validation and reconciliation to ensure consistency across multiple data sources. Collaborate with data analysts and business stakeholders to resolve data discrepancies. Support data quality assurance initiatives and establish best practices for data reliability. What You ll Need to Succeed: Qualifications: A BE/BTech in Computer Science, Data Engineering, or a related field from a prestigious institution (IIT, NIT, BITS, etc.). Experience: At least 5 years of experience in SQL development and managing data pipelines. Technical Skills: Advanced SQL skills, including performance tuning and query optimization. Strong understanding of ETL/ELT processes and experience with data transformation. Hands-on experience with relational databases (Oracle, BigQuery) and NoSQL (MongoDB). Proficiency in Python or other scripting languages for automation. Familiarity with cloud platforms (AWS, GCP, Azure) is a plus. Experience with BI tools like Tableau is highly desirable. Soft Skills: Strong analytical and problem-solving abilities. Excellent communication and collaboration skills. Ability to manage multiple tasks independently in a fast-paced environment. What We Offer: Innovative Culture: We focus on cutting-edge development, not routine maintenance work. Our team thrives on staying ahead with the latest technologies. Continuous Learning: At Talentica, you ll find abundant opportunities to grow and keep up-to-date with the latest trends in technology. Brilliant Peers: Work alongside talented professionals from top engineering colleges (IITs, NITs, and more). Work-Life Balance: Enjoy flexibility with remote work options and adaptable schedules. Supportive Environment: 82% of our employees recommend Talentica to their peers (according to Glassdoor), thanks to our positive, collaborative work culture. Recognition & Rewards: Your hard work will be celebrated, with a culture that recognizes and appreciates your contributions. If you re excited about the prospect of working with a team of bright professionals and advancing your career, we d love to hear from you. Ready to make an impact? Apply today, and let s connect! Qualification : BE/BTech in Computer Science, Data Engineering, or a related field from a top-tier institution (IIT, NIT, BITS, etc.).

About Talentica Software: Talentica Software is a boutique software development company founded by industry veterans and alumni from IITB. For over 21 years, we have been helping startups build products using cutting-edge technologies. With a focus on solving real-world problems, we ve worked with over 180+ startups, primarily in the US, leading to numerous successful exits. In 2022, Great Place to Work recognized Talentica Software as one of India s Great Mid-Size Workplaces. What We re Looking For: We are seeking a Data Engineer to join the product engineering team for a SAAS-based Subscription Management Platform. If you have a passion for working with data and a drive to innovate, we encourage you to apply. What You ll Be Doing: Data Transformation: Use Python and PySpark to transform large datasets and build efficient data pipelines. Pipeline Creation: Work with Kafka and Debezium to create and deploy real-time data pipelines. SQL Expertise: Write and optimize complex SQL queries for data aggregation and transformation. Delta Lake & Databricks: Utilize Delta Lake and Databricks for efficient data storage and management. Collaboration: Work with cross-functional teams to ensure data is accessible, reliable, and well-organized for product teams. To Be Successful in This Role, You Should Have: Qualification: BE/BTech from a top-tier engineering institute. Experience: 5+ years of experience in the data engineering field. Must-Have Skills: Strong proficiency in Python and PySpark for data transformation. Experience with Kafka and Debezium for data pipeline creation and deployment. Excellent SQL skills, especially for complex data aggregation and transformation. Familiarity with Delta Lake and Databricks. A solid understanding of all stages of the SDLC and experience with Agile/SCRUM methodology. Good-to-Have Skills: Understanding of machine learning algorithms. Familiarity with ETL tools like Matillion or Google Data Studio. Experience with creating BI reports using tools like Looker or Tableau. Familiarity with writing APIs to extract data from databases. What You ll Find Here: Culture of Innovation: We focus on technology expertise and innovation, not maintenance projects. Our customers come to us for cutting-edge solutions. Endless Learning Opportunities: Stay ahead of the curve by exploring new advancements in your field and applying them to build better, faster, and simpler products. Talented Peers: Work alongside experienced graduates from India's top 20 engineering colleges, including IITs, NITs, and other top-tier institutes. Flexibility: We value work-life balance and offer flexible schedules, including remote work options. Great Culture: 82% of our employees recommend Talentica to their friends, according to Glassdoor. You'll love being part of our team! At Talentica, we don t just follow trends we lead them. If you re looking for a dynamic, fast-paced environment with opportunities to innovate, grow, and shape the future of technology, Talentica is the place for you. Join us and make a real difference! Qualification : BE/BTech from a top-tier engineering institute.

Data Engineer - Media & Advertising Sector - Job Description We are looking for an experienced Data Engineer to join our team and drive business outcomes in the media and advertising sector. In this role, you will leverage advanced data technologies to design and implement comprehensive data strategies that focus on scalability, performance optimization, and secure data management. Successful candidates will have hands-on experience with Big Data technologies and machine learning models, as well as a deep understanding of the advertising domain and its data needs. Technical and Professional Requirements: Big Data Technologies: Proficiency with platforms such as BigQuery, Big Data, Hadoop, and Snowflake for managing and processing large-scale datasets. Programming/Scripting Languages: Strong experience in programming languages like Python, Java, or Go for developing data solutions. Machine Learning Models: Hands-on experience defining and implementing various Machine Learning models to address diverse business requirements. Data Scalability & Performance: Practical experience in handling performance and data scalability challenges to ensure efficient data processing and storage. Advertising Domain Knowledge: Familiarity with advertising data and experience working with datasets such as Campaign Performance, Ad Performance, Attribution, and Audience Data. Job Responsibilities: Data Strategy Design: Develop a comprehensive data strategy that aligns with business objectives. This includes designing data models, establishing database development standards, and managing data warehouses and data analytics systems. Data Source Identification: Identify internal and external data sources and create a plan for managing these data sources according to the overall business data strategy. Cross-Functional Collaboration: Work with various teams (engineering, product, analytics, etc.) to ensure the smooth functioning of the enterprise data system, facilitating cross-departmental cooperation. End-to-End Data Architecture: Manage the end-to-end data architecture process, from selecting the platform and designing technical architecture to developing applications, and finally testing and implementing the solution. Big Data Solution Planning: Plan and execute big data solutions using technologies like BigQuery, Big Data, Hadoop, and Snowflake. Data Accessibility & Security: Integrate technical functionality that ensures data accessibility, accuracy, and security throughout the data lifecycle. Educational Requirements: Any Graduate with 60% and above in your academic background. This position is ideal for someone who is passionate about data engineering and eager to tackle complex challenges in the media and advertising sector. If you're looking to drive innovation, work with cutting-edge technologies, and collaborate across teams, we would love to hear from you! Qualification : Any Graduate with 60% and above in your academic background.