52 Streaming Jobs - Page 2

Role & responsibilities What You'll Do Build the underneath data platform and maintain data processing pipelines using best in class technologies. Special focus on R&D to challenge status-quo and build the next generation data mesh that is efficient and cost effective. Translate complex technical and functional requirements into detailed designs. Who You Are Strong programming skills (Python, Java, and Scala) Experience writing SQL , structuring data, and data storage practices Experience with data modeling Knowledge of data warehousing concepts Experienced building data pipelines and micro services Experience with Spark , Airflow and other streaming technologies to process incredible volumes of streaming data A willingness to accept failure, learn and try again An open mind to try solutions that may seem impossible at first Strong understanding of data structures, algorithms, multi-threaded programming, and distributed computing concepts Experience working on Amazon Web Services- AWS ( EMR, Kinesis, RDS, S3 , SQS and the like) Preferred candidate profile At least 6+ years of professional experience as a software engineer or data engineer Education: Bachelor's degree or higher in Computer Science, Data Science, Engineering, or a related technical field.

Design, develop, and optimize scalable data pipelines using Databricks and Apache Spark.Collaborate with data scientists, analysts, and business stakeholders to understand data needs.Build and manage ETL/ELT workflows in Databricks.

About Persistent We are a trusted Digital Engineering and Enterprise Modernization partner, combining deep technical expertise and industry experience to help our clients anticipate what’s next. Our offerings and proven solutions create a unique competitive advantage for our clients by giving them the power to see beyond and rise above. We work with many industry-leading organizations across the world including 12 of the 30 most innovative US companies, 80% of the largest banks in the US and India, and numerous innovators across the healthcare ecosystem. Our growth trajectory continues, as we reported $1,231M annual revenue (16% Y-o-Y). Along with our growth, we’ve onboarded over 4900 new employees in the past year, bringing our total employee count to over 23,500+ people located in 19 countries across the globe. Persistent Ltd. is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds. For more details please login to www.persistent.com About The Position We are looking for a Big Data Lead who will be responsible for the management of data sets that are too big for traditional database systems to handle. You will create, design, and implement data processing jobs in order to transform the data into a more usable format. You will also ensure that the data is secure and complies with industry standards to protect the company?s information. What You?ll Do Manage customer's priorities of projects and requests Assess customer needs utilizing a structured requirements process (gathering, analyzing, documenting, and managing changes) to prioritize immediate business needs and advising on options, risks and cost Design and implement software products (Big Data related) including data models and visualizations Demonstrate participation with the teams you work in Deliver good solutions against tight timescales Be pro-active, suggest new approaches and develop your capabilities Share what you are good at while learning from others to improve the team overall Show that you have a certain level of understanding for a number of technical skills, attitudes and behaviors Deliver great solutions Be focused on driving value back into the business Expertise You?ll Bring 6 years' experience in designing & developing enterprise application solution for distributed systems Understanding of Big Data Hadoop Ecosystem components (Sqoop, Hive, Pig, Flume) Additional experience working with Hadoop, HDFS, cluster management Hive, Pig and MapReduce, and Hadoop ecosystem framework HBase, Talend, NoSQL databases Apache Spark or other streaming Big Data processing, preferred Java or Big Data technologies, will be a plus Benefits Competitive salary and benefits package Culture focused on talent development with quarterly promotion cycles and company-sponsored higher education and certifications Opportunity to work with cutting-edge technologies Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards Annual health check-ups Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents Inclusive Environment •We offer hybrid work options and flexible working hours to accommodate various needs and preferences. •Our office is equipped with accessible facilities, including adjustable workstations, ergonomic chairs, and assistive technologies to support employees with physical disabilities. Let's unleash your full potential. See Beyond, Rise Above

About Persistent We are a trusted Digital Engineering and Enterprise Modernization partner, combining deep technical expertise and industry experience to help our clients anticipate what’s next. Our offerings and proven solutions create a unique competitive advantage for our clients by giving them the power to see beyond and rise above. We work with many industry-leading organizations across the world including 12 of the 30 most innovative US companies, 80% of the largest banks in the US and India, and numerous innovators across the healthcare ecosystem. Our growth trajectory continues, as we reported $1,231M annual revenue (16% Y-o-Y). Along with our growth, we’ve onboarded over 4900 new employees in the past year, bringing our total employee count to over 23,500+ people located in 19 countries across the globe. Persistent Ltd. is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds. For more details please login to www.persistent.com About The Position We are looking for a Big Data Lead who will be responsible for the management of data sets that are too big for traditional database systems to handle. You will create, design, and implement data processing jobs in order to transform the data into a more usable format. You will also ensure that the data is secure and complies with industry standards to protect the company?s information. What You?ll Do Manage customer's priorities of projects and requests Assess customer needs utilizing a structured requirements process (gathering, analyzing, documenting, and managing changes) to prioritize immediate business needs and advising on options, risks and cost Design and implement software products (Big Data related) including data models and visualizations Demonstrate participation with the teams you work in Deliver good solutions against tight timescales Be pro-active, suggest new approaches and develop your capabilities Share what you are good at while learning from others to improve the team overall Show that you have a certain level of understanding for a number of technical skills, attitudes and behaviors Deliver great solutions Be focused on driving value back into the business Expertise You?ll Bring 6 years' experience in designing & developing enterprise application solution for distributed systems Understanding of Big Data Hadoop Ecosystem components (Sqoop, Hive, Pig, Flume) Additional experience working with Hadoop, HDFS, cluster management Hive, Pig and MapReduce, and Hadoop ecosystem framework HBase, Talend, NoSQL databases Apache Spark or other streaming Big Data processing, preferred Java or Big Data technologies, will be a plus Benefits Competitive salary and benefits package Culture focused on talent development with quarterly promotion cycles and company-sponsored higher education and certifications Opportunity to work with cutting-edge technologies Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards Annual health check-ups Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents Inclusive Environment •We offer hybrid work options and flexible working hours to accommodate various needs and preferences. •Our office is equipped with accessible facilities, including adjustable workstations, ergonomic chairs, and assistive technologies to support employees with physical disabilities Let's unleash your full potential. See Beyond, Rise Above

About Persistent We are a trusted Digital Engineering and Enterprise Modernization partner, combining deep technical expertise and industry experience to help our clients anticipate what’s next. Our offerings and proven solutions create a unique competitive advantage for our clients by giving them the power to see beyond and rise above. We work with many industry-leading organizations across the world including 12 of the 30 most innovative US companies, 80% of the largest banks in the US and India, and numerous innovators across the healthcare ecosystem. Our growth trajectory continues, as we reported $1,231M annual revenue (16% Y-o-Y). Along with our growth, we’ve onboarded over 4900 new employees in the past year, bringing our total employee count to over 23,500+ people located in 19 countries across the globe. Persistent Ltd. is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds. For more details please login to www.persistent.com About The Position We are looking for a Big Data Lead who will be responsible for the management of data sets that are too big for traditional database systems to handle. You will create, design, and implement data processing jobs in order to transform the data into a more usable format. You will also ensure that the data is secure and complies with industry standards to protect the company?s information. What You?ll Do Manage customer's priorities of projects and requests Assess customer needs utilizing a structured requirements process (gathering, analyzing, documenting, and managing changes) to prioritize immediate business needs and advising on options, risks and cost Design and implement software products (Big Data related) including data models and visualizations Demonstrate participation with the teams you work in Deliver good solutions against tight timescales Be pro-active, suggest new approaches and develop your capabilities Share what you are good at while learning from others to improve the team overall Show that you have a certain level of understanding for a number of technical skills, attitudes and behaviors Deliver great solutions Be focused on driving value back into the business Expertise You?ll Bring 6 years' experience in designing & developing enterprise application solution for distributed systems Understanding of Big Data Hadoop Ecosystem components (Sqoop, Hive, Pig, Flume) Additional experience working with Hadoop, HDFS, cluster management Hive, Pig and MapReduce, and Hadoop ecosystem framework HBase, Talend, NoSQL databases Apache Spark or other streaming Big Data processing, preferred Java or Big Data technologies, will be a plus Benefits Competitive salary and benefits package Culture focused on talent development with quarterly promotion cycles and company-sponsored higher education and certifications Opportunity to work with cutting-edge technologies Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards Annual health check-ups Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents Inclusive Environment •We offer hybrid work options and flexible working hours to accommodate various needs and preferences. •Our office is equipped with accessible facilities, including adjustable workstations, ergonomic chairs, and assistive technologies to support employees with physical disabilities. Let's unleash your full potential. See Beyond, Rise Above

Bachelor's degree in Broadcasting, Electrical Engineering, or related field. Proven experience as a Broadcasting Engineer or similar role, preferably in a broadcasting studio, media production company, or live event environment. Required Candidate profile Design, install, configure, and maintain broadcasting equipment and systems, including cameras, microphones, lighting, and audio/video mixers. Mail- sunidhi.yadav@cygnusad.co.in or call 8591061941

Responsibilities: * Design, develop, test & maintain Android apps using Kotlin & Jetpack * Collaborate with cross-functional teams on UI design & streaming features

SUMMARY Job Title: Television Screen Repair Technician We are seeking an experienced TV Screen Repair Technician to join our technical service team. The ideal candidate will have 3 5 years of hands-on experience in diagnosing and repairing LED, LCD, OLED, and Smart TV screens across various brands. Key Responsibilities: Diagnose and repair screen-related issues including panel replacement, back light problems, and display distortions Perform board-level repairs (T-Con, Main board, Power Supply) Conduct functional testing after repairs to ensure quality and performance Maintain accurate service logs and repair reports Communicate effectively with customers and internal teams Handle service calls on-site or in the workshop as needed Requirements Requirements: 3 5 years of experience in TV repair, especially screen-related issues Preferred male candidate Indian nationality is preferred Benefits Salary Offered: 150 to 200 (depending on the online interview) Housing and Meals: Housing is provided Working Hours: From 9:00 AM to 7:00 PM Weekly Day Off: One day Required Languages: English

AWS Solution Architect: Experience in driving the Enterprise Architecture for large commercial customers Experience in healthcare enterprise transformation Prior experience in architecting cloud first applications Experience leading a customer through a migration journey and proposing competing views to drive a mutual solution. Knowledge of cloud architecture concepts Knowledge of application deployment and data migration Ability to design high availability applications on AWS across availability zones and availability regions Ability to design applications on AWS taking advantage of disaster recovery design guidelines Design, implement, and maintain streaming solutions using AWS Managed Streaming for Apache Kafka (MSK) Monitor and manage Kafka clusters to ensure optimal performance, scalability, and uptime. Configure and fine-tune MSK clusters, including partitioning strategies, replication, and retention policies. Analyze and optimize the performance of Kafka clusters and streaming pipelines to meet high-throughput and low-latency requirements. Design and implement data integration solutions to stream data between various sources and targets using MSK. Lead data transformation and enrichment processes to ensure data quality and consistency in streaming applications Mandatory Technical Skillset: AWS Architectural concepts - designs, implements, and manages cloud infrastructure AWS Services (EC2, S3, VPC, Lambda, ELB, Route 53, Glue, RDS, DynamoDB, Postgres, Aurora, API Gateway, CloudFormation, etc.) Kafka Amazon MSK Domain Experience: Healthcare domain exp. is required Blues exp. is preferred Location – Pan India

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Apache Spark Good to have skills : Oracle Procedural Language Extensions to SQL (PLSQL) Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary: As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. You will be responsible for ensuring that the applications are developed and implemented efficiently and effectively, while meeting the needs of the organization. Your typical day will involve collaborating with the team, making team decisions, engaging with multiple teams, and providing solutions to problems for your immediate team and across multiple teams. You will also contribute to key decisions and provide expertise in application development. Roles & Responsibilities: - Expected to be an SME - Collaborate and manage the team to perform - Responsible for team decisions - Engage with multiple teams and contribute on key decisions - Provide solutions to problems for their immediate team and across multiple teams - Design, build, and configure applications to meet business process and application requirements - Ensure that applications are developed and implemented efficiently and effectively - Contribute expertise in application development Professional & Technical Skills: - Must To Have Skills: Proficiency in Apache Spark - Good To Have Skills: Experience with Oracle Procedural Language Extensions to SQL (PLSQL), Google BigQuery - Strong understanding of statistical analysis and machine learning algorithms - Experience with data visualization tools such as Tableau or Power BI - Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms - Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity Additional Information: - The candidate should have a minimum of 5 years of experience in Apache Spark - This position is based at our Gurugram office - A 15 years full time education is required

Dear Candidate, We are hiring a Data Platform Engineer to build and maintain scalable, secure, and reliable data infrastructure for analytics and real-time processing. Key Responsibilities: Design and manage data pipelines, storage layers, and ingestion frameworks. Build platforms for batch and streaming data processing (Spark, Kafka, Flink). Optimize data systems for scalability, fault tolerance, and performance. Collaborate with data engineers, analysts, and DevOps to enable data access. Enforce data governance, access controls, and compliance standards. Required Skills & Qualifications: Proficiency with distributed data systems (Hadoop, Spark, Kafka, Airflow). Strong SQL and experience with cloud data platforms (Snowflake, BigQuery, Redshift). Knowledge of data warehousing, lakehouse, and ETL/ELT pipelines. Experience with infrastructure as code and automation. Familiarity with data quality, security, and metadata management. Soft Skills: Strong troubleshooting and problem-solving skills. Ability to work independently and in a team. Excellent communication and documentation skills. Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Srinivasa Reddy Kandi Delivery Manager Integra Technologies

Architect & Build Scalable Systems: Design and implement a petabyte-scale lakehouse Architectures to unify data lakes and warehouses. Real-Time Data Engineering: Develop and optimize streaming pipelines using Kafka, Pulsar, and Flink. Required Candidate profile Data engineering experience with large-scale systems• Expert proficiency in Java for data-intensive applications. Handson experience with lakehouse architectures, stream processing, & event streaming

developerWe're hiring a React Native De to build an OTT platform and real-time chat, audio/video calls for our React Native social app. Skills: React Native, Node.js, WebRTC, AWS, video streaming. Experience with social or streaming apps is a plus!

Principal Architect - Platform & Application Architect Experience 15+ years in software/data platform architecture 5+ years in architectural leadership roles Architecture & Data Platform Expertise Education Bachelors/Master’s in CS, Engineering, or related field Title: Principal Architect Location: Onsite Bangalore Experience: 15+ years in software & data platform architecture and technology strategy Role Overview We are seeking a Platform & Application Architect to lead the design and implementation of a next-generation, multi-domain data platform and its ecosystem of applications. In this strategic and hands-on role, you will define the overall architecture, select and evolve the technology stack, and establish best practices for governance, scalability, and performance. Your responsibilities will span across the full data lifecycle—ingestion, processing, storage, and analytics—while ensuring the platform is adaptable to diverse and evolving customer needs. This role requires close collaboration with product and business teams to translate strategy into actionable, high-impact platform & products. Key Responsibilities 1. Architecture & Strategy Design the end-to-end architecture for a On-prem / hybrid data platform (data lake/lakehouse, data warehouse, streaming, and analytics components). Define and document data blueprints, data domain models, and architectural standards. Lead build vs. buy evaluations for platform components and recommend best-fit tools and technologies. 2. Data Ingestion & Processing Architect batch and real-time ingestion pipelines using tools like Kafka, Apache NiFi, Flink, or Airbyte. Oversee scalable ETL/ELT processes and orchestrators (Airflow, dbt, Dagster). Support diverse data sources: IoT, operational databases, APIs, flat files, unstructured data. 3. Storage & Modeling Define strategies for data storage and partitioning (data lakes, warehouses, Delta Lake, Iceberg, or Hudi). Develop efficient data strategies for both OLAP and OLTP workloads. Guide schema evolution, data versioning, and performance tuning. 4. Governance, Security, and Compliance Establish data governance , cataloging , and lineage tracking frameworks. Implement access controls , encryption , and audit trails to ensure compliance with DPDPA, GDPR, HIPAA, etc. Promote standardization and best practices across business units. 5. Platform Engineering & DevOps Collaborate with infrastructure and DevOps teams to define CI/CD , monitoring , and DataOps pipelines. Ensure observability, reliability, and cost efficiency of the platform. Define SLAs, capacity planning, and disaster recovery plans. 6. Collaboration & Mentorship Work closely with data engineers, scientists, analysts, and product owners to align platform capabilities with business goals. Mentor teams on architecture principles, technology choices, and operational excellence. Skills & Qualifications Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. 12+ years of experience in software engineering, including 5+ years in architectural leadership roles. Proven expertise in designing and scaling distributed systems, microservices, APIs, and event-driven architectures using Java, Python, or Node.js. Strong hands-on experience with building scalable data platforms on premise/Hybrid/cloud environments. Deep knowledge of modern data lake and warehouse technologies (e.g., Snowflake, BigQuery, Redshift) and table formats like Delta Lake or Iceberg. Familiarity with data mesh, data fabric, and lakehouse paradigms. Strong understanding of system reliability, observability, DevSecOps practices, and platform engineering principles. Demonstrated success in leading large-scale architectural initiatives across enterprise-grade or consumer-facing platforms. Excellent communication, documentation, and presentation skills, with the ability to simplify complex concepts and influence at executive levels. Certifications such as TOGAF or AWS Solutions Architect (Professional) and experience in regulated domains (e.g., finance, healthcare, aviation) are desirable.

Job Summary COGNIZANT IS LOOKING FOR ORACLE & POSTGRESSQL DBA. Bachelors degree in Computer Science or equivalent degree. experience Minimum 5 years of experience as Oracle and Postgres database administrator Hands-on experience with Oracle and Postgres required. Hands-on experience with Oracle Data guard and Postgres streaming replications Hands on experience in Oracle RAC environment setup. In depth knowledge on Oracle and Postgres Offline and online backup and restore mechanisms. Experience in supporti Responsibilities Position Overview This role is for a database administrator who will provide support for a highly distributed Oracle and Postgres environments. This role is expected to understand the benefits and limitations of clustering log shipping streaming replication and cluster availability to meet business needs. The DBA must have Exadata hands-on experience. The DBA is responsible for setting up Oracle RAC Cluster environments upgradation patching and migrating of database on Linux Platforms. The database administrator must be able to troubleshoot time sensitive production issues in a timely manner. Database monitoring tools are used to send alerts and must be fine-tuned to reduce false positives. The DBA will respond to failure notice alerts emails and escalation phone calls to fix production systems. Additionally the DBA will serve as a subject matter expert for the configuration implementation and maintenance of database processes and data access methods used in applications. The DBA will create and manage physical Oracle Data guard setup and Postgres replication setup. This role works in coordination with teams of infrastructure engineers as well as working closely with development and support teams for optimal application or database interfaces. The DBA will be responsible to fine tune the degraded database performance. Optimization aspects to be ensured at all levels while adjusting statistics during performance tuning. The candidate should have experience in setting up PostgreSQL cluster environment. The position is responsible for 2nd/3rd level support of the Oracle and Postgres database environments and as such superior customer service is a key aspect of this role

About Us: Celebal Technologies is a leading Solution Service company that provide Services the field of Data Science, Big Data, Enterprise Cloud & Automation. We are at the forefront of leveraging cutting-edge technologies to drive innovation and enhance our business processes. As part of our commitment to staying ahead in the industry, we are seeking a talented and experienced Data & AI Engineer with strong Azure cloud competencies to join our dynamic team. Job Summary: We are looking for a highly skilled Azure Data Engineer with a strong background in real-time and batch data ingestion and big data processing, particularly using Kafka and Databricks . The ideal candidate will have a deep understanding of streaming architectures , Medallion data models , and performance optimization techniques in cloud environments. This role requires hands-on technical expertise , including live coding during the interview process. Key Responsibilities Design and implement streaming data pipelines integrating Kafka with Databricks using Structured Streaming . Architect and maintain Medallion Architecture with well-defined Bronze, Silver, and Gold layers . Implement efficient ingestion using Databricks Autoloader for high-throughput data loads. Work with large volumes of structured and unstructured data , ensuring high availability and performance. Apply performance tuning techniques such as partitioning, caching , and cluster resource optimization . Collaborate with cross-functional teams (data scientists, analysts, business users) to build robust data solutions. Establish best practices for code versioning , deployment automation , and data governance . Required Technical Skills: Strong expertise in Azure Databricks and Spark Structured Streaming Processing modes (append, update, complete) Output modes (append, complete, update) Checkpointing and state management Experience with Kafka integration for real-time data pipelines Deep understanding of Medallion Architecture Proficiency with Databricks Autoloader and schema evolution Deep understanding of Unity Catalog and Foreign catalog Strong knowledge of Spark SQL, Delta Lake, and DataFrames Expertise in performance tuning (query optimization, cluster configuration, caching strategies) Must have Data management strategies Excellent with Governance and Access management Strong with Data modelling, Data warehousing concepts, Databricks as a platform Solid understanding of Window functions Proven experience in: Merge/Upsert logic Implementing SCD Type 1 and Type 2 Handling CDC (Change Data Capture) scenarios Retail/Telcom/Energy any one industry expertise Real time use case execution Data modelling

Job Summary: We are looking for a highly skilled Azure Data Engineer with a strong background in real-time and batch data ingestion and big data processing, particularly using Kafka and Databricks . The ideal candidate will have a deep understanding of streaming architectures , Medallion data models , and performance optimization techniques in cloud environments. This role requires hands-on technical expertise , including live coding during the interview process. Key Responsibilities Design and implement streaming data pipelines integrating Kafka with Databricks using Structured Streaming . Architect and maintain Medallion Architecture with well-defined Bronze, Silver, and Gold layers . Implement efficient ingestion using Databricks Autoloader for high-throughput data loads. Work with large volumes of structured and unstructured data , ensuring high availability and performance. Apply performance tuning techniques such as partitioning, caching , and cluster resource optimization . Collaborate with cross-functional teams (data scientists, analysts, business users) to build robust data solutions. Establish best practices for code versioning , deployment automation , and data governance . Required Technical Skills: Strong expertise in Azure Databricks and Spark Structured Streaming Processing modes (append, update, complete) Output modes (append, complete, update) Checkpointing and state management Experience with Kafka integration for real-time data pipelines Deep understanding of Medallion Architecture Proficiency with Databricks Autoloader and schema evolution Deep understanding of Unity Catalog and Foreign catalog Strong knowledge of Spark SQL, Delta Lake, and DataFrames Expertise in performance tuning (query optimization, cluster configuration, caching strategies) Must have Data management strategies Excellent with Governance and Access management Strong with Data modelling, Data warehousing concepts, Databricks as a platform Solid understanding of Window functions Proven experience in: Merge/Upsert logic Implementing SCD Type 1 and Type 2 Handling CDC (Change Data Capture) scenarios Retail/Telcom/Energy any one industry expertise Real time use case execution Data modelling Location: Mumbai

Job Summary We are looking for an experienced Infra Dev Specialist with 4 to 8 years of experience to join our team. The ideal candidate will have expertise in KSQL Kafka Schema Registry Kafka Connect and Kafka. This role involves working in a hybrid model with day shifts and does not require travel. The candidate will play a crucial role in developing and maintaining our infrastructure to ensure seamless data flow and integration. Responsibilities Develop and maintain infrastructure solutions using KSQL Kafka Schema Registry Kafka Connect and Kafka. Oversee the implementation of data streaming and integration solutions to ensure high availability and performance. Provide technical support and troubleshooting for Kafka-related issues to minimize downtime and ensure data integrity. Collaborate with cross-functional teams to design and implement scalable and reliable data pipelines. Monitor and optimize the performance of Kafka clusters to meet the demands of the business. Ensure compliance with security and data governance policies while managing Kafka infrastructure. Implement best practices for data streaming and integration to enhance system efficiency. Conduct regular reviews and updates of the infrastructure to align with evolving business needs. Provide training and support to team members on Kafka-related technologies and best practices. Develop and maintain documentation for infrastructure processes and configurations. Participate in code reviews and contribute to the continuous improvement of the development process. Stay updated with the latest trends and advancements in Kafka and related technologies. Contribute to the overall success of the team by delivering high-quality infrastructure solutions. Qualifications Possess strong experience in KSQL Kafka Schema Registry Kafka Connect and Kafka. Demonstrate a solid understanding of data streaming and integration concepts. Have a proven track record of troubleshooting and resolving Kafka-related issues. Show expertise in designing and implementing scalable data pipelines. Exhibit knowledge of security and data governance practices in managing Kafka infrastructure. Display proficiency in monitoring and optimizing Kafka cluster performance. Have experience in providing technical support and training to team members. Be skilled in developing and maintaining infrastructure documentation. Stay informed about the latest trends in Kafka and related technologies. Possess excellent communication and collaboration skills. Have a proactive approach to problem-solving and continuous improvement. Demonstrate the ability to work effectively in a hybrid work model. Show commitment to delivering high-quality infrastructure solutions. Certifications Required Certified Apache Kafka Developer

Bachelor's degree in Broadcasting, Electrical Engineering, or related field. Proven experience as a Broadcasting Engineer or similar role, preferably in a broadcasting studio, media production company, or live event environment. Required Candidate profile Design, install, configure, and maintain broadcasting equipment and systems, including cameras, microphones, lighting, and audio/video mixers.

Senior Flutter Developer Experience: 4 - 7 Years Exp Salary : INR 10-15 Lacs per annum Preferred Notice Period : Within 30 Days Shift : 7:00AM to 4:00PM IST Opportunity Type: Remote Placement Type: Permanent (*Note: This is a requirement for one of Uplers' Clients) Must have skills required : audio processing, Dart, Firebase services, Flutter, Mobile App Architecture patterns, real-time synchronization, Streaming, Websockets Good to have skills : Gamification, language learning, mobile development, music applications, Speech Recognition Lingotune AI (One of Uplers' Clients) is Looking for: Senior Flutter Developer who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you. Role Overview Description About Lingotune: We are revolutionizing language learning by combining music and education, making it as addictive as Spotify. We're a VC-backed startup with founders from Google, McKinsey, and YC-backed startups. We are a passionate team that thrives at the intersection of languages, music, and tech. The Role: We're seeking a Senior Flutter Developer to develop our mobile app, which combines music, language learning, and gamification. You'll work directly with our founding team and have significant ownership over our mobile experience. What you'll do: Build and scale our Flutter-based mobile application Implement karaoke-style features with real-time lyrics synchronization Develop gamification mechanics similar to popular language learning apps Work with our in-house design team to create pixel-perfect UIs Implement audio processing and streaming features Handle real-time synchronization for lyrics and audio Optimize app performance and battery consumption Work with our AI/ML team to implement personalized learning features What we're looking for: 4+ years of professional mobile development experience 2+ years of experience with Flutter and Dart Strong understanding of mobile app architecture patterns Experience with audio processing and streaming Understanding of real-time synchronization techniques Experience with state management in Flutter Knowledge of mobile app performance optimization Nice to have: Experience with music-related applications Knowledge of speech recognition and processing Experience with gamification mechanics Understanding of language learning platforms Passion for music and language learning Tech Stack: Flutter & Dart Provider/Bloc for state management RESTful APIs and WebSocket Firebase services Audio processing and streaming Real-time synchronization What we offer: Competitive salary and equity package Remote-first work environment Direct impact on product decisions Work with experienced founders from Google, McKinsey, and Y Combinator Opportunity to shape the future of language education Access to premium music and language learning resources How to Apply: Send your resume and a brief introduction to careers@lingotune.ai. Include links to your GitHub profile and any relevant projects, especially those related to music or language learning applications. Location: Remote (with occasional team meetups) Equal Opportunity: Lingotune is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Engagement Type: Fulltime Direct-hire on Lingotune AI payroll Job Type: Permanent Location: Remote Working time: 7:00 AM to 4:00 PM IST Interview Process - 3 Rounds How to apply for this opportunity: Easy 3-Step Process: 1. Click On Apply! And Register or log in on our portal 2. Upload updated Resume & Complete the Screening Form 3. Increase your chances to get shortlisted & meet the client for the Interview! About Our Client: Lingotune makes language learning as easy as a catchy chorus in your head. Imagine Spotify and Duolingo had a baby - that's us • About Uplers: Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career. (Note: There are many more opportunities apart from this on the portal.) So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

SUMMARY Job Role: Apache Kafka Admin Experience: 6+ years Location: Pune (Preferred), Bangalore, Mumbai Must-Have: The candidate should have 6 years of relevant experience in Apache Kafka Job Description: We are seeking a highly skilled and experienced Senior Kafka Administrator to join our team. The ideal candidate will have 6-9 years of hands-on experience in managing and optimizing Apache Kafka environments. As a Senior Kafka Administrator, you will play a critical role in designing, implementing, and maintaining Kafka clusters to support our organization's real-time data streaming and event-driven architecture initiatives. Responsibilities: Design, deploy, and manage Apache Kafka clusters, including installation, configuration, and optimization of Kafka brokers, topics, and partitions. Monitor Kafka cluster health, performance, and throughput metrics and implement proactive measures to ensure optimal performance and reliability. Troubleshoot and resolve issues related to Kafka message delivery, replication, and data consistency. Implement and manage Kafka security mechanisms, including SSL/TLS encryption, authentication, authorization, and ACLs. Configure and manage Kafka Connect connectors for integrating Kafka with various data sources and sinks. Collaborate with development teams to design and implement Kafka producers and consumers for building real-time data pipelines and streaming applications. Develop and maintain automation scripts and tools for Kafka cluster provisioning, deployment, and management. Implement backup, recovery, and disaster recovery strategies for Kafka clusters to ensure data durability and availability. Stay up-to-date with the latest Kafka features, best practices, and industry trends and provide recommendations for optimizing our Kafka infrastructure. Requirements: 6-9 years of experience as a Kafka Administrator or similar role, with a proven track record of managing Apache Kafka clusters in production environments. In - depth knowledge of Kafka architecture, components, and concepts, including brokers, topics, partitions, replication, and consumer groups. Hands - on experience with Kafka administration tasks, such as cluster setup, configuration, performance tuning, and monitoring. Experience with Kafka ecosystem tools and technologies, such as Kafka Connect, Kafka Streams, and Confluent Platform. Proficiency in scripting languages such as Python, Bash, or Java. Strong understanding of distributed systems, networking, and Linux operating systems. Excellent problem-solving and troubleshooting skills, with the ability to diagnose and resolve complex technical issues. Strong communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams and communicate technical concepts to non-technical stakeholders.

• Must have - Hands on experience in Spark with Scala or Spark with Java is a MUST. • Must have - Worked on Performance Tuning, DAG optimization, Memory Management, Streaming and Batch pipelines.

Lead a team of engineers building distributed systems for video transcoding, storage, and delivery. Architected/Designed ==> cloud-first solutions for high-volume media processing (codecs like H.264/HEVC, protocols like HLS/DASH). Partner closely with Cvent product teams to ensure seamless interoperability with internal services/consumers. Work with Cvents cloud storage strategy, prioritizing scalability, cost efficiency, and cross-platform compatibility. Troubleshoot complex video issues related to encoding, streaming, recording and playback across different devices and platforms Provide technical support and training on video technologies and best practices Drive innovation in to create resilient, scalable media pipelines. Foster a culture of technical excellence, mentorship, and operational rigor. What You Will Need for this Position: 8+ years of engineering management experience leading infrastructure/platform teams. Proven expertise in designing cloud-native distributed systems (e.g., microservices, serverless architectures) at scale. Deep familiarity with video technology: codecs (HEVC, AV1), streaming protocols (HLS, CMAF), and open-source tools (FFmpeg, GStreamer). Design and developed video media solutions using video processing tools and frameworks (FFmpeg, GStreamer, etc.), configuration of video encoders, as well as running standard quality measures such as PSNR, SSIM and VMAF . Experience collaborating with product teams to deliver user-centric infrastructure solutions. Passion for media technology and staying ahead of trends (e.g., 8K, AI-driven workflows).

Skillset: Software Developer, Hands-on, Proactive, Strong Fundamentals, Good Communication, Proactive BrightScript, SceneGraph, RokuSDK Good knowledge of code design, algorithms, data structures etc

The Job We are looking out for a Sr Data Engineer responsible to Design, Develop and Support Real Time Core Data Products to support TechOps Applications. Work with various teams to understand business requirements, reverse engineer existing data products and build state of the art performant data pipelines. AWS is the cloud of choice for these pipelines and a solid understand and experience of architecting , developing and maintaining real time data pipelines in AWS Is highly desired. Design, Architect and Develop Data Products that provide real time core data for applications. Production Support and Operational Optimisation of Data Projects including but not limited to Incident and On Call Support , Performance Optimization , High Availability and Disaster Recovery. Understand Business Requiremensts interacting with business users and or reverse engineering existing legacy data products. Mentor and train junior team members and share architecture , design and development knowdge of data products and standards. Mentor and train junior team members and share architecture , design and development knowdge of data products and standards. Good understand and working knowledge of distributed databases and pipelines. Your Profile An ideal candidate will have 4+ yrs of experience in Real Time Streaming along with hands on Spark, Kafka, Apache Flink, Java, Big data technologies, AWS and MSK (managed service kafka) AWS Distrubuited Database technologies including Managed Services Kafka, Managed Apache Flink, DynamoDB, S3, Lambda. Experience designing and developing with Apache Flink real time data products.(Scala experience can be considered) Experience with python and pyspark SQL Code Development AWS Solutions Architecture experience for data products is required Manage, troubleshoot, real time data pipelines in the AWS Cloud Experience with High Availability and Disaster Recovery Solutions for Real time data streaming Excellent Analytical, Problem solving and Communication Skills Must be self-motivated, and ability to work independently Ability to understand existing SQL and code and user requirements and translate them into modernized data products.