Streaming Data Jobs in Bengaluru

Lead Software Engineer - Scale & Performance Location: Bengaluru Experience: 6 12 years About VuNet VuNet is a pioneer in Business Journey Observability, using Big Data and Machine Learning to revolutionize digital experiences in the financial services industry. Our platform delivers end-to-end visibility into customer journeys, helping organizations proactively resolve issues, ensure operational resilience, and deliver superior user satisfaction. With over 28 billion digital transactions monitored every month and serving more than 300 million users globally, VuNet is shaping the future of observability for some of the largest banks and financial institutions. We are Series B funded, part of NASSCOM s DeepTech Club, and recognized by global analysts such as Gartner and Omdia. Your Role: Lead Software Engineer - Scale & Performance As a Lead Software Engineer for Scale & Performance, you ll own the performance and scalability benchmarks for VuNet s observability platform. You will work with cutting-edge technologies, design robust test frameworks, and ensure that our platform scales seamlessly to meet the demands of millions of users. Roles & Responsibilities Own performance and scalability benchmarking for key platform components (ingestion pipelines, data storage, and query services). Design and execute load, stress, soak, and capacity tests across microservices, agents, and ingestion layers. Identify and resolve performance bottlenecks in both infrastructure (CPU/memory/IO) and application layers (API latency, throughput, GC behavior). Develop and maintain performance test frameworks, preferably using Kubernetes-based environments. Collaborate with DevOps and SRE teams to optimize system configurations (Kubernetes, Postgres/TimescaleDB, ClickHouse, Kafka) for scale. Implement OpenTelemetry for service instrumentation to monitor system health and latency (p50/p95/p99 metrics). Contribute to capacity planning, scaling strategies (horizontal/vertical), and resource optimization. Analyze production incidents related to scaling issues and drive permanent fixes. Work with engineering teams to design scalable architecture patterns and define SLIs/SLOs for system performance. Document performance baselines, tuning guides, and scalability best practices for internal use. What You Bring Mandatory Skills: Strong background in performance engineering for large-scale distributed systems or SaaS platforms. Expertise in Kubernetes, container runtimes (containerd/Docker), and resource profiling in containerized environments. Solid understanding of Linux internals, CPU/memory profiling, and network stack tuning. Hands-on experience with observability tools (Prometheus, Grafana, OpenTelemetry, Jaeger, Loki, Tempo, etc.). Familiarity with observability platform datastores like ClickHouse, PostgreSQL/TimescaleDB, Elasticsearch, or Cassandra. Experience with performance benchmarking tools such as k6, Locust, JMeter, or custom Golang/Python scripts. Ability to interpret system metrics (CPU usage, memory, GC, latency) and correlate across different layers. Nice-to-Have Skills: Experience with agent benchmarking (OpenTelemetry Collector, custom data shippers). Exposure to streaming systems like Kafka, NATS, or Pulsar. Familiarity with CI/CD pipelines for performance testing and regression tracking. Knowledge of cost optimization and capacity forecasting in cloud environments (AWS/GCP/Azure). Proficiency in Go, Python, or Bash scripting for automation and data analysis. Life at VuNet: At VuNet, we're building a world-class observability platform, and we re just getting started. You ll be part of a passionate, problem-solving team that embraces collaboration, fast learning, and staying ahead of emerging technologies like Gen AI. We foster a high-trust, inclusive culture where collaboration, ownership, and innovation are central to our success. If you're looking to work on cutting-edge tech, make a real impact, and grow with a supportive team you ll fit right in at VuNet. Benefits: Comprehensive health insurance coverage for you, your parents, and dependents. Mental wellness and 1:1 counseling support. A culture that promotes continuous learning, innovation, and career growth. Transparent, inclusive, and high-trust workplace. Opportunities for skill enhancement with training programs focused on new Gen AI technologies.

Data Engineering Lead Bengaluru | Engineering | Full-Time About Fam (formerly FamPay) Fam is India s first payments app designed for everyone aged 11 and above. FamApp enables seamless online and offline payments through UPI and FamCard. Our mission is to empower over **250 million young Indians** to start their financial journey early, becoming financially aware and confident. Founded in 2019 by IIT Roorkee alumni, Fam is backed by top-tier investors including Elevation Capital, Y-Combinator, Peak XV (Sequoia Capital India), Venture Highway, and angels like Kunal Shah and Amrish Rao. About the Role We re looking for a visionary **Data Engineering Lead** to take **end-to-end ownership** of Fam s data ecosystem from data ingestion and storage to processing and delivering actionable insights. You ll **define the data strategy and architecture** that supports both batch and **real-time** use cases, ensuring scalability, reliability, and governance across the organization. You will be instrumental in enabling accurate, complete, and trusted data flow that powers business intelligence, analytics, and product decision-making. This role involves **leadership, strategic thinking**, and hands-on problem solving. What You ll Do Own the full data lifecycle: ingestion, organization, storage, processing, and presentation. Define and execute **data architecture and strategy** aligned with operational and analytical goals. Build **scalable, reliable, and observable data systems** supporting batch and near real-time processing. Ensure **data quality, governance, and compliance**, proactively resolving discrepancies. Collaborate with product, engineering, and business teams to define, track, and optimize key metrics. Anticipate data-related challenges and implement preventive solutions. Lead, mentor, and grow the data engineering team, fostering innovation and accountability. Must-Haves 10+ years experience in data engineering, including proven leadership of teams or projects. Expertise designing, building, and scaling end-to-end data pipelines and systems. Deep understanding of the data lifecycle, from ingestion through business reporting. Strong communication skills and ability to collaborate across technical and business teams. Solid knowledge of **data governance, quality assurance, and compliance standards**. Experience with observability and proactive monitoring for data systems. Proficiency in Python and SQL; familiarity with Scala or Java. Hands-on experience with streaming and batch data frameworks. Experience designing large-scale data lakes and warehouses with best practices for schema evolution and partitioning. Strong background with **cloud platforms (AWS, GCP, or Azure)**. Fintech or regulated industry experience is a plus. Good to Have Fintech-specific data experience, including regulatory compliance and reporting. Deployment experience with **real-time analytics** and event-driven architectures. Familiarity with containerization and infrastructure tools like Docker, Kubernetes, Terraform. Knowledge of data observability tools (Monte Carlo, Databand, etc.). Exposure to **ML pipelines** and model deployment. Solve challenging problems at the intersection of big data, real-time processing, and fintech. Lead impactful data initiatives at a rapidly growing startup. Collaborate with a world-class team of engineers, data scientists, and product leaders. Competitive compensation, equity, and benefits. Clear career growth opportunities in leadership and innovation. Perks That Go Beyond the Paycheck Relocation assistance for a smooth move. Free office meals (lunch & dinner). Generous leave policies (birthday, period, parental support, and more). Salary advances and loan policies for financial support. Quarterly rewards, recognition, and referral incentives. Access to the latest gadgets and tools. Comprehensive health insurance with mental health support. Tax benefits like food coupons, phone allowances, and leasing options. Retirement benefits including PF contribution, leave encashment, and gratuity. About FamApp FamApp focuses on financial inclusion for the next generation by offering UPI and card payments to users aged 11+. Our flagship product, FamX, integrates UPI and card payments seamlessly, helping users manage, save, and learn about their finances effortlessly. With over **10 million users**, FamApp is revolutionizing how young Indians transact eliminating the need to carry cash and offering customizable FamX cards with personal doodles for a fun, unique payment experience. Join Our Dynamic Team At Fam, we foster a people-first culture with flexible work schedules, generous leave, comprehensive health benefits, and mental health support. You ll be part of a passionate, talented, and fun team shaping the future of fintech for India s youth.

Lead Fullstack Engineer Location: Bangalore Company: Capital One India About Capital One India At Capital One India, we thrive in a fast-paced, intellectually rigorous environment where we solve real-world business problems at scale. By combining advanced analytics, data science, and machine learning, we unlock powerful insights and build cutting-edge, patentable technology products that drive innovation and impact. Team Overview: Machine Learning Experiences (MLX) The MLX team is at the core of Capital One s AI/ML transformation. We re shaping the way the enterprise builds, deploys, and monitors ML models and features providing the tools and platforms that enable every business line to deliver AI-powered experiences. From platform onboarding to observability, MLX sets the foundation for responsible, scalable machine learning across Capital One. Role Overview We are seeking a Lead Fullstack Engineer to architect and develop scalable, cloud-native applications that power our ML platforms. You ll be responsible for leading technical initiatives, mentoring team members, and driving the development of full-stack systems with a primary focus on Python and Go, and a working proficiency in React. This is a hands-on leadership role requiring deep cloud expertise (AWS), backend scalability know-how, and familiarity with ML observability concepts. What You ll Do Lead cross-functional teams on full-stack development projects that support machine learning platforms and observability tools. Design and develop robust applications using Python, Go, and React, adhering to scalable and maintainable coding principles. Architect cloud-native solutions on AWS, leveraging services such as Lambda, ECS, S3, DynamoDB, SQS, and IAM. Implement and optimize CI/CD pipelines, containerization with Docker/Kubernetes, and other DevOps best practices. Work closely with ML engineers and data scientists to enhance observability and monitoring for ML models in production. Utilize open-source frameworks to accelerate development and maintain system performance. Collaborate with product managers to deliver user-centric, cloud-based solutions that drive real customer impact. Conduct code reviews, mentor engineers, and maintain high technical standards across the team. Contribute to backend optimization, API development, and integration with real-time data systems. Required Qualifications 7 10 years of experience in software development, with a strong background in backend and full-stack systems. Expertise in Python and Go; strong ability to build scalable, maintainable systems. Proficiency in React for frontend development (medium level). Hands-on experience with AWS services such as Lambda, ECS, S3, DynamoDB, IAM, and SQS. Experience with ML observability frameworks and tools. Knowledge of open-source development frameworks and cloud architecture patterns. Proficiency in CI/CD, containerization (Docker, Kubernetes), and modern DevOps practices. Strong problem-solving abilities and a track record of leading technical initiatives in agile environments. Preferred Qualifications Experience monitoring ML models in production and integrating observability tools. Knowledge of event-driven architecture and microservices. Familiarity with GraphQL, WebSockets, and real-time data communication. Understanding of data streaming architectures and processing pipelines. Why Join Capital One Be part of a team building enterprise-scale platforms that power ML for millions of customers. Work on impactful, cloud-native solutions in a collaborative and high-growth environment. Collaborate with world-class engineers, data scientists, and product leaders. Enjoy a culture that values experimentation, learning, and technical excellence.

Job Title: Lead / Senior Software Engineer (Microservices, IoT, Kafka, AWS) Location: Bengaluru Experience Required: 5 8 years Industry: Automotive (Electric Mobility) Employment Type: Full-time About Ultraviolette Join the Charge. Create the Future. At Ultraviolette, we re not just building electric vehicles we re redefining what mobility looks and feels like. From creating India s fastest electric motorcycle to designing the world s most advanced electric scooter, we're on a mission to engineer machines that are not only sustainable, but also exhilarating. Our team is a diverse mix of engineers, designers, dreamers, and doers, united by a bold vision to accelerate the global shift to electric mobility. If you're driven by innovation and looking to work on cutting-edge products that challenge the status quo, this is your platform to make a real impact. About the Role We are looking for a Senior/Lead Software Engineer who thrives in designing scalable, high-performance, and cloud-native microservices. This role is ideal for someone with hands-on experience in Java, Spring Boot, Kafka, and AWS, and a keen interest in IoT and real-time data architectures. You will work at the intersection of hardware and software helping us bring our vision of connected, intelligent, and high-performance electric vehicles to life. Key Responsibilities Design, develop, and deploy Java-based microservices using Spring Boot and related technologies. Architect and implement event-driven systems using Apache Kafka for real-time IoT data streaming. Build and manage RESTful APIs with AWS API Gateway for seamless service integration. Leverage AWS services such as Lambda, DynamoDB, and MemoryDB to build scalable, serverless solutions. Collaborate with cross-functional teams front-end developers, DevOps, and product managers to convert ideas into working features. Optimize application performance, troubleshoot issues, and ensure high reliability and availability. Mentor junior engineers, conduct code reviews, and enforce clean coding practices. Contribute to architecture decisions, technical roadmaps, and innovation initiatives. Stay on top of emerging technologies in cloud, microservices, and IoT ecosystems. Participate actively in Agile processes including sprint planning, stand-ups, and retrospectives. Required Qualifications Bachelor s or Master s degree in Computer Science, Engineering, or a related field. 5+ years of hands-on experience in Java development, with a strong foundation in Spring Boot. Proven experience designing and deploying microservices architectures. Strong knowledge of Kafka and real-time streaming/data pipeline architectures. Hands-on experience with Docker and Kubernetes for containerization and orchestration. Understanding of IoT protocols such as MQTT or CoAP and device connectivity. Proficiency with version control (Git) and Agile methodologies. Excellent problem-solving, communication, and collaboration skills. Nice to Have AWS Certifications (e.g., AWS Certified Developer or Solutions Architect). Experience with additional languages like Python or Rust. Familiarity with NoSQL databases such as MongoDB or Cassandra. Knowledge of DevOps practices, CI/CD pipelines, and Infrastructure as Code (e.g., Terraform). Exposure to stream processing frameworks (e.g., Apache Flink, Spark Streaming). Experience in edge computing and distributed systems. Strong understanding of cloud security best practices. Work on India s most futuristic electric vehicles at the intersection of technology, performance, and sustainability. Be part of a mission-driven company shaping the future of mobility. Collaborate with some of the most talented engineers and designers in the industry. A fast-paced environment that celebrates innovation, learning, and growth. Qualification : Bachelors or Masters degree in Computer Science, Engineering, or a related field

Job Title: Principal Electronics Engineer Embedded Hardware Location: Bengaluru Experience: 8 14 years Industry: Automotive / EV / Manufacturing Employment Type: Full-time About Ultraviolette Join the Charge. Create the Future. At Ultraviolette, we are more than just a company we re a movement that s reshaping the future of electric mobility. From building India s fastest electric motorcycle to designing the world s most advanced electric scooter, we thrive on pushing the boundaries of what s possible. We are a team of engineers, designers, and trailblazers united by a passion to craft machines that are sustainable, intelligent, and exhilarating. Every bolt, every line of code, and every component is designed with a singular mission: to accelerate the global shift toward next-generation mobility. Role Overview We are looking for a Principal / Lead Electronics Engineer Embedded Hardware to take ownership of vehicle electronics architecture, embedded systems design, diagnostics, and system-level validation for our next-gen electric vehicles. In this role, you will be at the forefront of developing high-performance electronic control units, telematics, and connected systems for future-ready vehicles. You will drive architecture decisions, system integration, and compliance, working alongside cross-functional teams to bring innovation from concept to the street. Key Responsibilities 1. Vehicle Electronics Architecture Design and bring to production electronic hardware including ECUs, display clusters, and telematics modules. Develop high-speed embedded designs with RF, sensor integration, and communication interfaces (CAN, LIN, UART, SPI, I2C). Create and maintain system schematics, architecture documentation, and interface definitions. 2. Embedded Hardware Design Develop embedded platforms with high-performance microcontrollers/processors to support vision systems, graphics, radar/LiDAR, audio, and OS-based applications. Architect and validate connected systems involving GNSS, LTE, BLE, Wi-Fi. Lead the design and integration of vehicle subsystems like lighting, clusters, IMUs, and more. Collaborate closely with firmware teams on hardware-software integration, bootloaders, and OTA functionality. 3. Diagnostics & Compliance Implement UDS-based diagnostics, fault logging systems, and service tools. Ensure compliance with AIS-004, ISO 26262, and other automotive design standards. 4. Testing & Validation Define and execute component-level and vehicle-level validation test plans. Utilize tools like Vector CANoe, CANalyzer, ETAS INCA, oscilloscopes, and spectrum/network analyzers for debugging and validation. 5. Cross-functional Collaboration Partner with teams across mechanical, software, UX, powertrain, and wire harness for holistic system integration. Work with mobile and cloud teams to enable real-time data streaming, diagnostics, and OTA updates. Actively contribute in design reviews, DFMEAs, and root cause analyses of field issues. Required Qualifications & Skills B.E. / M.E. / B.Tech / M.Tech in Electronics, Electrical, Mechatronics, or related disciplines. 8+ years of embedded hardware design experience, preferably in 2W/EV/automotive domain. Strong understanding of embedded C and scripting languages (e.g., Python, MATLAB, Octave). Experience with circuit simulation tools (e.g., PSPICE, LTSPICE, SIMPLIS, Simetrix). Hands-on expertise in RF design, signal/power integrity, EMI/EMC compliant layouts. Proficiency in PCB design tools (e.g., OrCAD, Altium, Mentor Graphics). Demonstrated experience in designing systems with multi-core processors, memory chips, SoMs, and high-speed interfaces (USB, Ethernet, LVDS, MIPI). Deep knowledge of embedded communication protocols (CAN, LIN, SPI, UART, I2C). Strong debugging and problem-solving skills in hardware validation and field testing. Nice to Have Hands-on experience in vehicle electronics development for 2W, 4W, or electric vehicles. Familiarity with DFT/DFA (Design for Testing/Assembly) methodologies. Experience with manufacturing and compliance testing for embedded hardware. Background in developing connected vehicle ecosystems with OTA capabilities. Passionate about emerging technologies in mobility, EVs, and embedded systems. Be part of India s electric mobility revolution where engineering meets adrenaline. Work on world-class technologies that are pushing global boundaries. Join a culture that encourages innovation, learning, and ownership. Collaborate with passionate teams building next-gen mobility experiences. Qualification : B.E. / M.E. / B.Tech / M.Tech in Electronics, Electrical, Mechatronics, or related disciplines

Senior Engineering Manager Location: Bengaluru Experience: 13 18 years Team: Engineering Industry: Web3 | Crypto | Fintech About CoinDCX: Building Tomorrow, Today At CoinDCX, we believe that change starts together. Over the past six years, we ve grown from India s first crypto unicorn into a platform trusted by over 125 million users. As we continue scaling, our mission is clear: make Web3 accessible to everyone by solving real challenges in accessibility, security, and usability. Join us in shaping the next frontier of finance where bold ideas meet cutting-edge technology. At CoinDCX, you ll be part of a team of innovators and disruptors who are rewriting the rules of digital finance. Together, we re building secure, scalable platforms that power the Web3 economy. Here, complex becomes simple, the inaccessible becomes accessible, and the impossible becomes achievable. The Role: Senior Engineering Manager As a Senior Engineering Manager, you'll lead and grow a team of talented engineers while driving the architecture and delivery of high-impact products. This role requires technical depth, strong leadership, and a product-oriented mindset. You'll work closely with cross-functional teams to build robust systems that power the future of crypto and Web3 at scale. What You ll Own Lead end-to-end product development from planning to production. Own system architecture and drive high-impact technical decisions. Mentor, manage, and grow a team of engineers through regular feedback, coaching, and performance reviews. Collaborate cross-functionally with Product, Design, and Business teams in an Agile environment. Champion engineering best practices and operational excellence. What You Bring Technical Expertise Proficiency in Go (primary) and hands-on experience with Java, Scala, or Python. Deep understanding of distributed systems, microservices, and event-driven architectures. Real-time data streaming experience with tools like Kafka, Flink, Pulsar, or Spark Streaming. Strong database knowledge: NoSQL: Cassandra, DynamoDB, MongoDB, ScyllaDB, Bigtable SQL: PostgreSQL, MySQL Experience with caching/in-memory systems like Redis, Aerospike, or Memcached. Exposure to financial systems (ledgering, reconciliation, reporting). Fintech or crypto background is a major plus. Execution & Problem Solving Proven experience building low-latency, high-throughput, and scalable platforms. Strong ability to translate ambiguous business problems into elegant technical solutions. Passionate about reliability, accuracy, and earning customer trust. Outcome-driven leader with a strong sense of ownership and accountability. Who You Are Inherently curious and driven to master Web3 and digital assets (VDAs). Thrive in fast-paced, high-change environments. A team player who believes in "We over Me" fostering both individual and team growth. Think like an owner with a constant focus on impact, innovation, and excellence. A creative problem solver who pushes boundaries, not buttons. Perks & Benefits Design Your Own Benefits Personalize your perks whether it's for gadgets, pets, or personal goals. Unlimited Wellness Leaves Take the time you need to rest and recharge with flexible wellness time off. Mental Wellness Support Access free counseling, mental health sessions, monthly wellness events, and more. Bi-Weekly Learning Sessions Stay ahead of the curve with regular upskilling and expert-led knowledge sharing. At CoinDCX, you won t just be part of a company you ll be part of a movement. Let s bridge the gap between millions of people and the promise of Web3. Let s build what s next. Apply now and lead the future of finance.

Job Title: Associate ML Ops Location: Bangalore Department: Data Science Employment Type: Full-time Experience: 1 2 years Job Overview We are seeking a motivated and detail-oriented Associate ML Ops to join our Data Science team. In this role, you will be responsible for supporting the deployment, monitoring, and scaling of machine learning models in production environments. You ll collaborate closely with data scientists and engineers to build robust MLOps pipelines and ensure model reliability, scalability, and performance. If you are passionate about bringing machine learning models to life and have hands-on experience in productionizing ML systems, we d love to hear from you. Key Responsibilities Deploy and maintain machine learning models in production environments using best-in-class tools like Databricks and MLflow. Collaborate with data scientists to translate experimental models into scalable, production-ready systems. Monitor model performance, accuracy, and overall health through automated tools and custom strategies. Build and maintain RESTful APIs using Python frameworks such as Flask or Django to serve ML models. Write efficient and optimized SQL and NoSQL queries for data extraction and transformation. Apply software engineering best practices, including version control, testing, and documentation, to MLOps workflows. Work with Python libraries like Pandas, PySpark, scikit-learn, SQLAlchemy, and Requests. Troubleshoot issues related to model deployment, API performance, or data integration pipelines. Minimum Qualifications Bachelor s or Master s degree in Computer Science, Statistics, Econometrics, Operations Research, or a related technical field. 1 2 years of hands-on experience in solving analytical or machine learning problems in production settings. Must-Have Technical Skills Hands-on experience with Databricks and MLflow Proven expertise in deploying ML models in real-world applications Strong understanding of data structures, algorithms, OOP, and software engineering principles Experience building and maintaining REST APIs using Python Proficiency in SQL and NoSQL Excellent Python programming and debugging skills Familiarity with core Python libraries used in ML and data processing: Pandas, scikit-learn, PySpark, SQLAlchemy, etc. Nice-to-Have Skills Exposure to Kafka for streaming and batch data processing Familiarity with Git and CI/CD pipelines Experience with Python multiprocessing or worker/queue systems Understanding of event-driven or asynchronous programming models This is an exciting opportunity to work at the intersection of data science and engineering. You ll play a key role in productionizing cutting-edge models and ensuring they deliver real business impact. Qualification : Bachelors or Masters degree in Computer Science, Statistics, Econometrics, Operations Research, or a related technical field

Senior Associate Data Engineering L2 Location: Bengaluru, India Department: Engineering Data Employment Type: Full-Time About the Role As a Senior Associate Data Engineering (L2) at Publicis Sapient, you will lead technical solutions that drive digital transformation by building scalable, high-performance data platforms. You ll be responsible for translating business and technical requirements into modern, data-centric solutions using Big Data technologies, cloud services (Azure), and advanced data engineering practices. Key Responsibilities Design and implement data ingestion, integration, and transformation processes from multiple heterogeneous sources in both batch and real-time. Build scalable data platforms using Hadoop stack components such as HDFS, Kafka, Spark, Hive, NiFi, Oozie, Airflow, Flink, and Storm. Develop real-time analytics, aggregation, and search features to support various data-driven applications. Collaborate closely with cross-functional teams on data infrastructure, computation frameworks, and data visualization. Apply cloud-native principles and Azure services to build and deploy data pipelines. Ensure performance optimization and data pipeline tuning. Work with NoSQL and MPP platforms like MongoDB, Cassandra, Redshift, Azure SQL DW, HBase, BigQuery. Contribute to infrastructure, automation, and DevOps for data pipelines using CI/CD practices. Ensure data governance, lineage, and cataloging using tools like Collibra or Alation. Required Qualifications 6 8 years of professional experience in software/data engineering. Minimum of 3 years hands-on experience with Big Data technologies. Strong programming expertise in Java (preferred), Scala, or Python. Expertise in the Hadoop ecosystem and real-time stream processing tools (Kafka, Pulsar, Spark Streaming, etc.). Hands-on experience with Azure data services (e.g., Data Factory, Synapse, ADLS, Databricks). Experience working with modern ETL tools (Informatica, Talend, etc.) and traditional RDBMS platforms (Oracle, PostgreSQL, SQL Server, MySQL). Bachelor's degree in Computer Science, Engineering, or related field. Nice to Have Certifications in Azure Data Engineer, GCP Big Data, or related cloud specializations. Experience with distributed messaging frameworks (ActiveMQ, RabbitMQ, Solace). Familiarity with microservices architecture and search technologies (Elasticsearch). Performance tuning of distributed data processing systems. Exposure to data governance, security, and metadata management. Benefits and Culture at Publicis Sapient Gender-neutral workplace policies 18 paid holidays annually Generous parental leave + new parent transition support Flexible work arrangements Access to Employee Assistance Programs (wellness & well-being) A dynamic culture focused on learning, creativity, and collaboration Qualification : Bachelor's degree in Computer Science, Engineering, or related field.

Job Title: Engineering Manager Data Engineering Location: Bengaluru, Karnataka, India Department: Engineering Experience: 6 to 8 years Open Positions: 2 About the Role As an Engineering Manager - Data Engineering, you will lead a team of skilled data engineers who design, build, and maintain scalable data pipelines and infrastructure. You will collaborate with cross-functional teams and client stakeholders to deliver high-quality data systems that meet business goals. Your leadership will be pivotal in mentoring your team, driving project execution, and advancing data engineering capabilities across the organization. Key Responsibilities Lead, mentor, and develop a team of data engineers, fostering a collaborative and inclusive work environment. Conduct performance reviews, provide constructive feedback, and set clear goals for team members. Identify skill gaps and create opportunities for continuous professional growth. Plan, execute, and deliver data engineering projects on schedule and within scope. Coordinate with stakeholders to gather requirements, prioritize tasks, and define project timelines. Ensure all projects align with broader business objectives and data strategies. Oversee design, development, and maintenance of data pipelines, ETL processes, and data warehouses. Guarantee data quality, integrity, and security in all data engineering initiatives. Identify and drive process improvements to enhance efficiency and effectiveness in data operations. Manage client conversations to understand requirements and translate them into technical deliverables. Build and promote reusable frameworks to drive efficiency in data systems. Lead multiple projects involving streaming, batch, and large-scale data pipelines. Required Technical Skills Strong execution knowledge of data modeling, relational and non-relational databases (SQL and NoSQL). Expertise with ETL and orchestration tools such as IICS, Metatron, Airflow, Azure Data Factory, AWS Glue, or GCP Composer. Experience working with data warehouses like Snowflake, Redshift, Hive, or BigQuery. Proficiency in Apache Spark and optimization of Spark jobs. Strong programming skills in Python (mandatory), with knowledge of Scala, Rust, or Java as a plus. Understanding of Medallion architecture patterns. Advanced SQL skills with query optimization expertise. Experience with software development lifecycle, unit testing, and functional programming concepts. Required Non-Technical Skills Strong problem-solving skills with the ability to assess financial impacts of decisions. Excellent written and verbal communication skills, capable of engaging with mid-management client stakeholders. Ability to balance pragmatic solutions against perfect ones, driving team consensus and business value. Exceptional people management skills, including conflict resolution, empathy, negotiation, and active listening. Proven leadership and mentorship abilities, providing technical guidance to delivery teams. Self-driven, with a strong sense of ownership and accountability. Preferred Educational Qualifications Bachelor s degree in Engineering (B.E./B.Tech), MCA, or M.Sc. (Mathematics, Statistics). Lead and mentor a talented team working on cutting-edge data engineering projects. Collaborate closely with clients and cross-functional teams in a dynamic, fast-growing company. Drive innovation with scalable, high-impact data solutions. Grow your leadership and technical skills in a supportive, inclusive environment. Qualification : Bachelors degree in Engineering (B.E./B.Tech), MCA, or M.Sc. (Mathematics, Statistics).

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

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!

Engineering Manager Data Location: Bangalore, Karnataka | Department: Tech About the Team At Meesho, we power millions of orders daily with zero downtime thanks to our cutting-edge data and backend systems. Our engineering culture is built on speed, ownership, and a growth mindset. We embrace failures as learning opportunities and foster a 'Founder s Mindset' across all engineering teams. We're passionate technologists, team players, and storytellers just as comfortable building robust data platforms as we are bonding over books, games, or chai. If you're ready to lead a team building high-impact, real-time data systems that touch millions of users, come join us. About the Role We are seeking an experienced Engineering Manager Data to lead our data engineering initiatives. You ll be responsible for building scalable data platforms, managing distributed systems, and ensuring data accuracy, accessibility, and real-time analytics capabilities. This role combines technical depth, strategic thinking, and team leadership to build next-gen data systems powering Meesho s mission. What You Will Do Design and allocate technical tasks based on Meesho s data engineering standards and architecture. Lead and mentor a team of data engineers; conduct regular performance reviews and provide growth feedback. Oversee development of scalable, distributed data systems across streaming and batch pipelines. Collaborate with Product, Design, and Sales teams to create innovative data-driven products and features. Monitor project progress, drive sprint planning, and report on key metrics using OKRs. Promote engineering best practices, data quality standards, and cloud-native development. What You Will Need Bachelor s or Master s in Computer Science or a related field. 8+ years of overall experience, with 4+ years managing software/data engineering teams. Hands-on expertise in Java, Python, or Go and multithreading. Experience with distributed data systems, including Apache Spark, Kafka, and streaming architectures. Deep understanding of relational and NoSQL databases. Proficient in cloud platforms (preferably AWS) and containerized deployments. Experience in data modeling, pipeline architecture, and data quality frameworks. Familiarity with BI tools like Tableau, Metabase, or Superset. Good to have: Knowledge of Trino, Flink, Presto, Druid, Pinot, and real-time analytics platforms. Strong project and stakeholder management; ability to lead cross-functional teams. About Us Meesho is India s fastest-growing e-commerce platform on a mission to democratize internet commerce for every Indian. With 1.75M+ sellers and millions of active customers, we offer zero commission, the lowest shipping costs, and unparalleled reach across every serviceable pincode in India. We're building Meesho to be Meri Shop for the next billion users empowering small businesses and first-time entrepreneurs to sell and thrive online. Our Culture & Total Rewards Our culture is rooted in impact, innovation, and inclusivity. Guided by 11 core principles or "Mantras", we empower our teams to think big, move fast, and grow constantly. Daily rituals like Reflections and Listen or Die ensure everyone has a voice and a growth path. What We Offer: Competitive Compensation including salary, performance bonuses, and equity. Wellness & Insurance via our MeeCare program, with extensive coverage for employees and families, plus mental health and wellness initiatives. Work-Life Balance with flexible work hours, generous leave policies, and parental support. Learning & Development with courses, mentorship, and career mobility through our Internal Mobility Program. Perks & Benefits including salary advances, relocation support, recreational discounts, and employee gifts. Join us to lead the data transformation at Meesho and help shape the future of commerce for India s next billion users. Apply now to make your mark! Qualification : Bachelors or Masters in Computer Science or a related field.

AI Platform Architect Location: Bangalore, Karnataka, India Employment Type: Full-Time About Adobe Adobe is changing the world through digital experiences. Whether you're an emerging artist or a global brand, our tools empower creativity and innovation across every screen. From powerful imaging and video solutions to immersive web and app design, Adobe s mission is to help people and businesses deliver exceptional digital experiences. We are committed to creating an inclusive workplace where everyone is respected and given equal opportunity. Innovation can come from anywhere and the next big idea could be yours. Job Description We are looking for a visionary AI Platform Architect with deep expertise in building and scaling cloud-native, AI-powered platforms. The ideal candidate will have experience deploying large-scale, customer-facing AI solutions and a deep understanding of modern cloud architecture, data systems, MLOps, and LLMOps. Responsibilities Design and develop scalable AI/ML platforms and pipelines across AWS, Azure, and GCP. Architect end-to-end LLM pipelines including model training, fine-tuning, serving, inference APIs, and monitoring. Lead cross-functional teams in delivering AI solutions from experimentation to production. Implement MLOps and LLMOps best practices using tools like MLFlow, SageMaker, Langchain, and LangGraph. Design GPU-optimized architectures for training and inference of LLMs using DeepSpeed, vLLM, and other modern frameworks. Support infrastructure automation and container orchestration with Kubernetes, Docker, and CI/CD pipelines. Collaborate with internal stakeholders and clients to understand requirements, evangelize platform solutions, and ensure successful delivery. Key Skills and Expertise Cloud and DevOps: Expertise in AWS, Azure, GCP especially VPC design, cloud databases, and serverless architecture. Certified in AWS Professional Solution Architect, AWS ML Specialty, or Azure Solutions Architect Expert (preferred). Proficient with Kubernetes, Docker, FluentD, Kibana, Grafana, Prometheus. Data and Streaming: Experience with OLTP/OLAP databases and cloud-native data warehouses like BigQuery, Aurora, Spanner. Hands-on with Kafka, Apache Flink, Spark, Airflow, Databricks, Apache Iceberg, Presto. AI/ML & LLM Expertise: In-depth understanding of LLMs (GPT, Gemini, Claude, Mixtral, Llama, Hugging Face OSS models). LLMOps frameworks: Langchain, Langgraph, Langflow, Flowise, LLamaIndex. ML lifecycle tools: MLFlow, SageMaker, Vertex AI, Azure AI, AWS Bedrock. Proven experience in model optimization, fine-tuning, and high-throughput inference systems. Programming Languages: Proficient in Python, SQL, and JavaScript. Preferred Qualifications 10+ years in cloud and AI/ML platform architecture roles. Experience delivering AI solutions for enterprise-scale clients. Hands-on experience with GPU architecture and parallel/distributed training. Strong communication skills with ability to influence technical and business stakeholders. Work on cutting-edge AI technologies and shape future product experiences used by millions. Collaborate with world-class engineers and scientists in a diverse, inclusive culture. Be part of a company that values creativity, innovation, and employee well-being. Adobe is proud to be an Equal Opportunity Employer. We welcome and encourage candidates from all backgrounds to apply.

Job Title: Node.js Developer Location: Bengaluru, India Type: Full-Time Key Responsibilities Node.js Development: Design, build, and maintain efficient, reusable, and reliable Node.js code using the Express framework. Develop RESTful APIs and integrate them with various front-end systems and third-party services. Microservices Architecture: Design and develop microservice-based systems to ensure scalable and efficient architectures. Implement asynchronous programming models to optimize the performance of applications. Database Design & Management: Work with NoSQL databases like MongoDB to design and implement efficient database schemas that represent and support business processes. Version Control: Use Git for code versioning, ensuring proper collaboration and smooth code management. Agile Development: Participate in Agile development practices, including sprint planning, daily stand-ups, and sprint retrospectives, to contribute effectively to the team. Skills & Qualifications Node.js Expertise: Strong knowledge of Node.js and related frameworks such as Express. Experience with asynchronous programming in Node.js and its quirks. API Design: Proven expertise in designing, developing, and maintaining RESTful APIs. Database: Solid experience working with NoSQL databases like MongoDB. Ability to design scalable and efficient database schemas to support business logic. Version Control: Proficiency in using Git for source code management and version control. Microservices Architecture: Hands-on experience with building and maintaining microservice-based systems. Agile Development: Familiarity with Agile methodologies such as Scrum or Kanban, and experience in an Agile development environment. Problem-Solving Skills: Strong problem-solving ability, including identifying issues and finding solutions in real-time. Collaborative Environment: Work with a talented team and collaborate on innovative projects. Growth Opportunities: Learn and enhance your skills with exposure to cutting-edge technologies. Work-Life Balance: Flexible working hours and a positive work culture. If you are passionate about Node.js, microservices, and building scalable applications, we encourage you to apply and join our dynamic team in Bengaluru!

Job Title: Node.js Developer Location: Bengaluru, India Company: Culinda Inc. Industry: Cybersecurity, Medical Device Protection Type: Full-time Experience: 3+ Years About Us: At Culinda Inc., we are dedicated to safeguarding critical medical equipment and ensuring patient safety. As part of our innovative approach to cybersecurity, we focus on providing cutting-edge solutions to protect medical devices, particularly those used in US hospitals. Join our dynamic team to help secure medical IoT devices and contribute to impactful work in healthcare cybersecurity. Position Overview: We are seeking an experienced Node.js Developer to join our cybersecurity team in Bengaluru. In this role, you will be responsible for developing and maintaining high-performance back-end systems using Node.js. Your contributions will directly support the security and integrity of medical IoT devices and related cybersecurity solutions. Key Responsibilities: Back-End Development: Collaborate with cross-functional teams and subject matter experts to design and implement robust back-end solutions using Node.js. Develop, test, and maintain high-performance Node.js applications and APIs. Optimization & Troubleshooting: Contribute to the optimization of existing code and the development of new functionalities. Troubleshoot and debug issues to ensure the stability, security, and integrity of systems. Collaboration & Code Quality: Participate in code reviews and provide constructive feedback to ensure high-quality code. Implement best practices for security and data protection in all development efforts. Continuous Improvement: Actively stay updated with the latest trends and best practices in Node.js development. Work with the team to continuously improve system performance, security, and scalability. Basic Qualifications: Educational Qualification: Bachelor's degree in Computer Science, Software Engineering, or a related field. Professional Experience: 3+ years of experience as a Node.js Developer, with a strong portfolio of Node.js-based applications. Technical Skills: Proficiency in Node.js programming. Experience with web frameworks, such as Express.js or Nest.js. Experience in RESTful API development. Familiarity with front-end technologies (HTML, CSS, JavaScript) and integration with Node.js back-end. Knowledge of SQL and NoSQL database systems. Soft Skills: Strong problem-solving skills. Good communication and teamwork skills. Additional Desired Qualifications: Familiarity with cybersecurity fundamentals. Understanding of IoT and IoMT (Internet of Medical Things) devices. Knowledge of cloud platforms (AWS, Google Cloud, Azure). Experience with containerization technologies (e.g., Docker). Familiarity with version control systems (e.g., Git). Understanding of DevOps principles. Familiarity with data analysis and preprocessing. Knowledge of AI and ML concepts. Be part of an innovative and growing company dedicated to cybersecurity and medical device protection. Work on cutting-edge technologies that impact patient safety and healthcare systems. Collaborative environment with opportunities for growth and career advancement. Competitive compensation package and benefits. If you're passionate about building secure and high-performance back-end systems in a dynamic environment, we d love to hear from you! Apply now and help us safeguard the future of healthcare technology. Qualification : Bachelor's degree in Computer Science, Software Engineering, or a related field.

Job Title: Data Engineer Location: Bengaluru, Karnataka Experience: 5 to 8 Years Work Modality: Full-time (Work from office) Job Description: We are looking for an experienced Data Engineer to join our team and take responsibility for designing, developing, and maintaining scalable ETL/ELT pipelines. This is a full-time position based in Bengaluru, Karnataka, and you will be collaborating with cross-functional teams to define data requirements and ensure data accuracy, consistency, and integrity. Your role will also involve optimizing data workflows, automating processes, and ensuring high availability and reliability of data pipelines. Key Responsibilities: ETL/ELT Pipeline Development: Design, develop, and maintain scalable ETL/ELT pipelines to support data transformation and integration processes. Data Warehouse & Data Lake Optimization: Build and optimize data warehouses, data lakes, and real-time streaming solutions to support large-scale data operations. Collaboration & Data Requirements: Collaborate with cross-functional teams, such as product, data science, and analytics teams, to define data requirements and ensure data accuracy and consistency. Database Structure & Schema Management: Develop and maintain database structures and schemas to ensure efficient data storage and retrieval. Data Workflow Optimization: Optimize data workflows for performance, reliability, and scalability, ensuring the highest level of efficiency. Data Security & Compliance: Implement data security, governance, and compliance best practices to ensure that data is handled securely and meets industry standards. Pipeline Monitoring & Troubleshooting: Monitor, troubleshoot, and improve data pipelines to ensure uptime, reliability, and smooth data processing. Process Automation: Automate data-related processes to improve efficiency and reduce manual intervention, increasing the overall speed of data flow. Required Qualifications: Experience: 5+ years of experience in data engineering or 3-4 years of experience as a Data Engineer. Technical Skills: Strong proficiency in SQL and database management systems such as PostgreSQL, MySQL, SQL Server, etc. Experience with ETL tools such as Pentaho, Talend, Cdata, and SSIS. Exposure to Python, Java, or Scala for data processing is a plus. Experience with big data technologies such as Apache Spark, Hadoop, or Kafka. Familiarity with cloud services (AWS, Azure) and data storage solutions such as S3, Redshift, Snowflake, or BigQuery. Strong knowledge of data modeling, warehousing concepts, and data architecture best practices. Soft Skills: Excellent communication skills with the ability to collaborate effectively across teams. Strong problem-solving skills and the ability to work with large, complex datasets. What We Offer: Competitive Salary: Attractive salary based on experience and expertise. Collaborative Work Environment: Work in a dynamic and fast-paced environment with a team that fosters innovation and collaboration. Growth Opportunities: Opportunities to enhance your skills and career growth in the data engineering field. Comprehensive Benefits: Benefits package designed to support work-life balance and overall employee well-being.

Job Title: Senior Python Expert Experience: 3 to 8 years Overview of the Role: This role sets the benchmark for team software development processes and deployment procedures, while actively contributing to establishing best practices and methodologies within the team. Responsibilities: Develop backend services using Python Flask or similar web frameworks. Design and maintain data and pipeline management frameworks using open-source technologies such as Hadoop, Hive, Spark, HBase, Kafka Streaming, Tableau, Airflow, and cloud-based data engineering services like S3, Redshift, Athena, Kinesis. Design and develop efficient CRUD operations for large datasets with millions of records. Collaborate with teams to build and maintain innovative, reliable, secure, and cost-effective distributed solutions. Own and deliver complex application components within defined timelines. Ensure quality delivery using best practices in API development, performance, and scalability. Participate in customer communication, presentations, and resolution of critical issues. Contribute to architecture, feature set, and design decisions. Proactively recognize and address requirement inconsistencies and project risks. Break down work effectively and estimate accurately. Serve as a technical mentor and role model within the team. Required Skills: Strong knowledge of Python and a web framework like Flask. Experience with AWS services such as EC2, S3, Lambda, Step Functions, Glue, SNS, SQS, Secret Manager, and CodeBuild/CodePipeline. Solid understanding of SQL, including query writing, optimization, and database interaction tools. Experience with API development (RESTful services, Postman, API Gateway). Strong coding, debugging, and problem-solving skills. Understanding of architectural trade-offs and data engineering principles (data acquisition, ingestion, distributed processing, high availability). Ability to independently handle delivery of complex projects. Excellent team management and individual contributor skills. Good to Have Skills: Experience with Big Data frameworks like Hadoop and Spark. Knowledge of AWS Aurora. Familiarity with pip, setuptools, etc. Education: B.E./B.Tech, MCA, M.E./M.Tech.

Job Title: Tech Architect Experience: 7 to 10 years Education: B.E./B.Tech, MCA, M.E./M.Tech About HashedIn: We are software engineers solving business problems with a Product Mindset for leading global organizations. By combining engineering talent with business insight, we build software and products that create enterprise value. We thrive in a fast-paced learning environment, driven by extreme ownership and a fun, inclusive culture. If you are a problem solver who thrives in dynamic environments, enjoys working on cutting-edge technologies, and values collaboration and high performance, HashedIn is the place to be! Overview of the Role: As a Tech Architect, you will drive architecture and design decisions, ensuring scalability, performance, and reliability. You will play a critical role in setting up best practices, defining technical roadmaps, and ensuring high-quality delivery. This role requires hands-on technical leadership, a deep understanding of cloud platforms, architecture patterns, and modern engineering practices. Key Responsibilities: Design and deploy resilient APIs, bridging cloud infrastructure with software development. Build and manage data and pipeline management frameworks using Hadoop, Hive, Spark, HBase, Kafka Streaming, Tableau, Airflow, and cloud services like S3, Redshift, Athena, Kinesis, etc. Collaborate with cross-functional teams to build innovative, secure, and cost-effective distributed solutions. Design and develop big data solutions, real-time analytics, and streaming platforms using industry-standard technologies. Own delivery of complex components, ensuring adherence to technical and business requirements. Serve as a team lead or influential individual contributor, driving architecture decisions and best practices. Identify requirement inconsistencies, proactively highlight risks, and maintain clear communication with stakeholders. Create and maintain clear technical specifications, ensuring proper work breakdown and estimation. Support customer communication, handle critical issues, and contribute to client presentations. Set standards for software development processes and deployment methodologies, contributing to team-wide best practices. Desired Skills & Experience: 7-10 years of experience, including at least 4 years as an Application Architect or Data Architect. Strong expertise in Java, Python, UI Development, or Data Engineering. Hands-on experience with GCP, AWS, or Azure cloud platforms. Knowledge of Generative AI-enabled application design patterns is a plus. Strong understanding of cloud architecture, distributed applications, integration, and API design. Experience in technology stack selection and defining solution architectures for small to mid-sized cloud-hosted platforms. Strong grasp of design and architecture patterns, with experience in developing scalable architectures. Experience in setting up and governing engineering processes, tools, and standards. Proficient in effort estimation techniques, project planning, and defining test strategies. Experience responding to RFPs/RFIs and working directly with customers. Up-to-date with latest technology trends and engineering practices. Experience with PAAS and SAAS platforms hosted on cloud environments. Hands-on experience with infrastructure sizing and design for both on-premises and cloud platforms. Ability to understand business domains and translate requirements into scalable technical solutions. Excellent interpersonal skills, with the ability to engage and present to CXOs. Strong leadership, business communication, and consulting skills. Positive, service-oriented mindset. Qualification : B.E./B.Tech, MCA, M.E./M.Tech

Job Title: Sr. Data Engineer Job Overview: We are seeking an experienced Technical Data Engineer / ELT Developer with expertise in Snowflake to manage data ingestion and transformation. The ideal candidate will work with an offshore team to deliver scalable data solutions aligned with business and performance requirements. Key Responsibilities: Design, build, and maintain ELT pipelines using Snowflake. Lead offshore development teams in applying data engineering best practices. Collaborate with stakeholders to manage data integration across systems. Optimize data pipelines for performance and reliability, including query tuning and resource management. Implement data validation processes to ensure data accuracy. Document data pipelines, flow diagrams, and transformation logic. Troubleshoot pipeline failures and resolve performance issues. Ensure compliance with data governance and regulatory requirements. Required Qualifications: 5+ years of experience in data engineering with a focus on ELT development. Strong expertise in Snowflake, including data sharing, secure views, and performance optimization. Proficiency in SQL and data integration tools. Experience managing offshore development teams. Strong problem-solving and communication skills. Preferred Qualifications: Snowflake certification or relevant certifications. Experience in financial services with knowledge of data security and compliance. Familiarity with cloud platforms (AWS, Azure) and orchestration tools like Apache Airflow. Experience with Python or JavaScript for data transformation. Knowledge of data visualization tools like Tableau or Power BI.

CSQ124R98 At Databricks, an Incident Manager utilizes their technical experience and resourcefulness to lead urgent customer situations to resolution. Responsible for managing frequent, high-quality updates to all internal and external stakeholders, Incident Managers advocate with engineering and leadership, on behalf of their customers, to ensure that escalations are handled with the appropriate level of urgency from stakeholders. The impact you will have: Drive critical customer escalations or widespread outages to conclusion and resolution. Escalate to on-call resources in support and engineering and establish checkpoint calls and action items to ensure that progress is made and status updates are delivered on time. Demonstrate cross-functional leadership while establishing ownership of escalations and outages. Compile and deliver frequent high-quality communications to internal and external stakeholders, including executive staff. Candidate should be comfortable creating concise and effective messaging that is tailored to a technical or executive audience with minimal assistance from others. Commence and lead war rooms while establishing other temporary communication channels as warranted for the duration of an outage. Ability to multi-task on several incidents and/or projects at once. Be a leader who identifies product and process improvements from every incident and submits necessary feedback for improvements. Participate in on-call rotations. What we look for: Minimum 8+ years of experience in customer support, support escalation and incident management is required. Excellent contextual interpretation and writing skill with an effective ability to summarize and communicate to technical and business audiences is required. Demonstrates strong ability to make timely decisions for both business and technical perspectives. Excellent analytical and troubleshooting skills are required. Candidate should be able to demonstrate technical excellence by applying engineering principles to solve complex problems. Hands-on experience developing any two or more of the following: Big Data, Hadoop, Spark, Machine Learning, Artificial Intelligence, Streaming, Kafka, Data Science, ElasticSearch related industry use cases at the production scale. Hands-on experience in the performance tuning/troubleshooting of Spark-based applications at production scale. Proven and real-time experience in JVM and Memory Management techniques such as Garbage collection and Heap/Thread Dump Analysis is required. Working knowledge in Data Lakes and preferably on the SCD types use cases at production scale. Working and hands-on experience with any SQL-based databases, Data Warehousing/ETL technologies like Informatica, DataStage, Oracle, Teradata, SQL Server and MySQL Linux/Unix administration skills and hands-on experience with AWS or Azure or GCP is required. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide including Comcast, Cond Nast, Grammarly, and over 50% of the Fortune 500 rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake and MLflow. To learn more, follow Databricks on Twitter,LinkedIn and Facebook . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visithttps://www.mybenefitsnow.com/databricks. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.