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10.0 - 12.0 years
30 - 35 Lacs
Chennai
Work from Office
Kubernetes, Docker & multi-cloud orchestration tools. AWS, Azure, GCP, and private cloud environments, ensuring compatibility & interoperability. Code tools & cloud-neutral deployments. front-end frameworks & back-end development. SQL & NoSQL, CI/CD
Posted 2 weeks ago
7.0 - 8.0 years
18 - 22 Lacs
Punjab
Work from Office
Key Responsibilities Define and develop scalable, high-availability system architectures for enterprise applications. Break down functional requirements into technical components. Define data models and system interactions. Provide presentation to client on technical solutions to be implemented. Identify potential challenges and risks, along with mitigation strategies. Optimize backend and frontend components for low-latency, high-throughput performance. Develop strategies for efficient data processing, storage, and retrieval to handle large datasets. Identify and resolve bottlenecks in application logic, database queries, and API response times. Architect solutions that support multi-system integration, ensuring seamless data exchange. Implement high-performance caching strategies (Redis, Memcached) and database optimizations. Work closely with softwareengineers, DevOps teams, and business stakeholders to align technical solutions with business needs. Provide technical mentorship to developers and conduct code and architecture reviews. Define best practices and standards for software development, testing, and deployment. Required Skills & Qualifications Backend PHP -laravel, Node , Java , Python. Frontend : React.js, Angular. Databases : PostgreSQL, MySQL, MongoDB, Cassandra, Elasticsearch. Messaging & Streaming : Kafka, RabbitMQ, Pulsar. Cloud & DevOps : AWS (Lambda, S3, RDS), Kubernetes, Docker. Security & Compliance : OAuth 2.0, JWT, GDPR,. Experience In Building enterprise-grade, high-performance applications with large user bases. Designing microservices, event-driven architectures, and serverless solutions. Previously worked on similar enterprise products and experience in handling a team of 20 developers. Preferred Qualifications BTECH/BE is CSE from good tier college/university. Worked previously in similar role and have extensive experience working in complex products. Passionate about technology and innovation, continuously exploring new trends and contributing to the development of cutting-edge solutions.
Posted 2 weeks ago
9.0 - 14.0 years
50 - 85 Lacs
Noida
Work from Office
About the Role We are looking for a Staff EngineerReal-time Data Processing to design and develop highly scalable, low-latency data streaming platforms and processing engines. This role is ideal for engineers who enjoy building core systems and infrastructure that enable mission-critical analytics at scale. Youll work on solving some of the toughest data engineering challenges in healthcare. A Day in the Life Architect, build, and maintain a large-scale real-time data processing platform. Collaborate with data scientists, product managers, and engineering teams to define system architecture and design. Optimize systems for scalability, reliability, and low-latency performance. Implement robust monitoring, alerting, and failover mechanisms to ensure high availability. Evaluate and integrate open-source and third-party streaming frameworks. Contribute to the overall engineering strategy and promote best practices for stream and event processing. Mentor junior engineers and lead technical initiatives. What You Need 8+ years of experience in backend or data engineering roles, with a strong focus on building real-time systems or platforms. Hands-on experience with stream processing frameworks like Apache Flink, Apache Kafka Streams, or Apache Spark Streaming. Proficiency in Java, Scala, or Python or Go for building high-performance services. Strong understanding of distributed systems, event-driven architecture, and microservices. Experience with Kafka, Pulsar, or other distributed messaging systems. Working knowledge of containerization tools like Docker and orchestration tools like Kubernetes. Proficiency in observability tools such as Prometheus, Grafana, OpenTelemetry. Experience with cloud-native architectures and services (AWS, GCP, or Azure). Bachelor's or Master’s degree in Computer Science, Engineering, or a related field.
Posted 3 weeks ago
6 - 9 years
8 - 11 Lacs
Bengaluru
Work from Office
What you will be doing... This role will be responsible for design and implementation of big data analysis applications to support VZW device technology. Design and implement data integration from various data sources. Performance tuning, diagnose, resolve big data and streaming technical issues. Design and implement solutions across multiple layers of the technology stack, including data processing, database, web services, network, and user security. Assist UI and frontend engineers to assure the system meets performance goals. Perform integration testing and assist QA on large projects. Contribute to requirements analysis, project estimation, design, coding, and testing. Suggest and implement third party libraries and software in the product when appropriate. Deliver applications that meet performance and scalability goals of the project. Always be on the top of latest techniques on big data and AIML What we are looking for You'll need to have: Bachelors degree or four or more years of work experience. Experience designing and implementing data applications in production using Java/ Python/ Scala and etc on big data platforms. Hands-on experience with related/complementary open source software platforms and languages such as Java, Linux, Spark, Hadoop, Kafka, Pulsar etc. Deep knowledge of information architecture methodologies; enterprise-wide data architecture for designing and building data lakes, data warehouses and BI reporting databases on Docker cluster Deep knowledge of distributed data architecture concepts such as caching, map-reduce, stream processing. Solid knowledge of data security & compliance. Understand data visualization techniques and libraries and their applicability to business Proficient in the programming languages of Java, Java Scripts, Python, Scala and SQL. Even better if you have one or more of the following: Experience in AI Development. Strong written and verbal communication skills.
Posted 1 month ago
18 - 25 years
90 - 150 Lacs
Hyderabad
Hybrid
Director - Data Engineering for the Captive of a Global Leader This role is pivotal in shaping our data strategy, building a high-performing team, and fostering a strong data community within the organization. The Director of Data will oversee data engineering, data analytics, and data science professionals, driving cohesion in ways of working and instilling a shared sense of purpose. The Director of Data will also play a key role in expanding our Global Capability Center (GCC) in Hyderabad and establishing new teams for other businesses within the group as required. As part of the Hyderabad Leadership Team, the role holder will contribute to broader site leadership, culture, and operational excellence. Key Responsibilities: Leadership & Strategy: - Define and drive the data strategy, ensuring alignment with product, architecture and the organization's business objectives. - Establish and grow the Global Capability Center (GCC) in Hyderabad, ensuring it becomes a centre of excellence for data. - Lead a community of data professionals (engineering, analytics, and data science), creating a culture of collaboration, learning, and innovation. - Serve as a key member of the Hyderabad Leadership Team, contributing to broader site leadership initiatives. - Champion best practices in all aspects of data engineering from data governance, data management through to ethical AI/ML adoption. - Partner with global and regional leaders to scale data capabilities across different businesses in the group as needed. Team Building & Development: - Foster an environment that attracts, develops, and retains top data talent. - Build career pathways and professional development opportunities for data professionals. - Drive cross-functional collaboration between data teams, engineering, and business units. - Advocate for a diverse, inclusive, and high-performance culture. Operational Excellence & Ways of Working: - Enhance cohesion and standardization in data practices, tools, and methodologies across teams. - Lead initiatives that improve efficiency, collaboration, and knowledge sharing across data teams. - Ensure alignment with cloud-first, scalable technologies, leveraging Databricks, AWS, and other modern data platforms. - Establish mechanisms to measure and demonstrate the business value of data-driven initiatives. Skills & Experience: Essential: - Engineer with around 18 years + experience , including at least 7 years in a leadership role - Proven experience in a senior data leadership role, with a track record of influencing and shaping data strategy. - Strong leadership skills with a people-first approach, able to inspire, mentor, and build a thriving data community. - Experience working in global, matrixed organizations, driving collaboration across multiple teams. - Deep understanding of data engineering, analytics, and data science disciplines (without requiring hands-on technical execution). - Experience with cloud-based data technologies, particularly AWS, Databricks. - Experience with streaming platforms such as Kafka, Apache Pulsar. - Experience with a combination of Python, Scala, Spark and Java. - Ability to scale teams and establish new functions, especially in a GCC or offshore model. - Strong stakeholder management, capable of influencing senior executives and business leaders. Desirable: - Experience in building or scaling data teams in a Global Capability Center (GCC). - Familiarity with data governance, security, and compliance best practices. - Previous experience working in a hybrid or global delivery model.
Posted 2 months ago
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