4 Timescaledb Jobs

Data Engineer Location: Bangalore - Onsite Experience: 8 - 15 years Type: Full-time Role Overview We are seeking an experienced Data Engineer to build and maintain scalable, high-performance data pipelines and infrastructure for our next-generation data platform. The platform ingests and processes real-time and historical data from diverse industrial sources such as airport systems, sensors, cameras, and APIs. You will work closely with AI/ML engineers, data scientists, and DevOps to enable reliable analytics, forecasting, and anomaly detection use cases. Key Responsibilities Design and implement real-time (Kafka, Spark/Flink) and batch (Airflow, Spark) pipelines for high-throughput data ingestion, processing, and transformation. Develop data models and manage data lakes and warehouses (Delta Lake, Iceberg, etc) to support both analytical and ML workloads. Integrate data from diverse sources: IoT sensors, databases (SQL/NoSQL), REST APIs, and flat files. Ensure pipeline scalability, observability, and data quality through monitoring, alerting, validation, and lineage tracking. Collaborate with AI/ML teams to provision clean and ML-ready datasets for training and inference. Deploy, optimize, and manage pipelines and data infrastructure across on-premise and hybrid environments. Participate in architectural decisions to ensure resilient, cost-effective, and secure data flows. Contribute to infrastructure-as-code and automation for data deployment using Terraform, Ansible, or similar tools. Qualifications & Required Skills Bachelors or Master’s in Computer Science, Engineering, or related field. 6+ years in data engineering roles, with at least 2 years handling real-time or streaming pipelines. Strong programming skills in Python/Java and SQL. Experience with Apache Kafka, Apache Spark, or Apache Flink for real-time and batch processing. Hands-on with Airflow, dbt, or other orchestration tools. Familiarity with data modeling (OLAP/OLTP), schema evolution, and format handling (Parquet, Avro, ORC). Experience with hybrid/on-prem and cloud platforms (AWS/GCP/Azure) deployments. Proficient in working with data lakes/warehouses like Snowflake, BigQuery, Redshift, or Delta Lake. Knowledge of DevOps practices, Docker/Kubernetes, Terraform or Ansible. Exposure to data observability, data cataloging, and quality tools (e.g., Great Expectations, OpenMetadata). Good-to-Have Experience with time-series databases (e.g., InfluxDB, TimescaleDB) and sensor data. Prior experience in domains such as aviation, manufacturing, or logistics is a plus. Role & responsibilities Preferred candidate profile

Your Role : As a Back-End Developer, you'll collaborate with the development team to build and maintain scalable, secure, and high-performing back-end systems for our SaaS products. You will play a key role in designing and implementing microservices architectures, integrating databases, and ensuring seamless operation of cloud-based applications. Responsibilities : - Design, develop, and maintain robust and scalable back-end solutions using modern frameworks and tools. - Create, manage, and optimize microservices architectures, ensuring efficient communication between services. - Develop and integrate RESTful APIs to support front-end and third-party systems. - Design and implement database schemas and optimize performance for SQL and NoSQL databases. - Support deployment processes by aligning back-end development with CI/CD pipeline requirements. - Implement security best practices, including authentication, authorization, and data protection. - Collaborate with front-end developers to ensure seamless integration of back-end services. - Monitor and enhance application performance, scalability, and reliability. - Keep up-to-date with emerging technologies and industry trends to improve back-end practices. Your Qualifications : Must-Have Skills : - Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field. - Proven experience as a Back-End Developer with expertise in modern frameworks such as Node.js, Express.js, or Django. - Expertise in .NET frameworks including development in C++ and C# for high performance databases - Strong proficiency in building and consuming RESTful APIs. - Expertise in database design and management with both SQL (e.g., PostgreSQL, MS SQL Server) and NoSQL (e.g., MongoDB, Cassandra) databases. - Hands-on experience with microservices architecture and containerization tools like Docker and Kubernetes. - Strong understanding of cloud platforms like Microsoft Azure, AWS, or Google Cloud for deployment, monitoring, and management. - Proficiency in implementing security best practices (e.g., OAuth, JWT, encryption techniques). - Experience with CI/CD pipelines and tools such as Jenkins, GitHub Actions, or Azure DevOps. - Familiarity with Agile methodologies and participation in sprint planning and reviews. Good-to-Have Skills : - Experience with time-series databases like TimescaleDB or InfluxDB. - Experience with monitoring solutions like Datadog or Splunk. - Experience with real-time data processing frameworks like Kafka or RabbitMQ. - Familiarity with serverless architecture and tools like Azure or AWS Lambda Functions. - Expertise in Java backend services and microservices - Hands-on experience with business intelligence tools like Grafana or Kibana for monitoring and visualization. - Knowledge of API management platforms like Kong or Apigee. - Experience with integrating AI/ML models into back-end systems. - Familiarity with MLOps pipelines and managing AI/ML workloads. - Understanding of iPaaS (Integration Platforms as a Service) and related technologies. Key Competencies & Attributes : - Strong problem-solving and analytical skills. - Exceptional organizational skills with the ability to manage multiple priorities. - Adaptability to evolving technologies and industry trends. - Excellent collaboration and communication skills to work effectively in cross-functional teams. - Ability to thrive in self-organizing teams with a focus on transparency and trust. KeywordsTimeScaleDB,Datadog,Express.js,Django,Microservices Architecture,RESTful API,Network Monitoring Tools,C++,C#,.Net,Node.js,Backend Development*

Your Role : As a Back-End Developer, you'll collaborate with the development team to build and maintain scalable, secure, and high-performing back-end systems for our SaaS products. You will play a key role in designing and implementing microservices architectures, integrating databases, and ensuring seamless operation of cloud-based applications. Responsibilities : - Design, develop, and maintain robust and scalable back-end solutions using modern frameworks and tools. - Create, manage, and optimize microservices architectures, ensuring efficient communication between services. - Develop and integrate RESTful APIs to support front-end and third-party systems. - Design and implement database schemas and optimize performance for SQL and NoSQL databases. - Support deployment processes by aligning back-end development with CI/CD pipeline requirements. - Implement security best practices, including authentication, authorization, and data protection. - Collaborate with front-end developers to ensure seamless integration of back-end services. - Monitor and enhance application performance, scalability, and reliability. - Keep up-to-date with emerging technologies and industry trends to improve back-end practices. Your Qualifications : Must-Have Skills : - Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field. - Proven experience as a Back-End Developer with expertise in modern frameworks such as Node.js, Express.js, or Django. - Expertise in .NET frameworks including development in C++ and C# for high performance databases - Strong proficiency in building and consuming RESTful APIs. - Expertise in database design and management with both SQL (e.g., PostgreSQL, MS SQL Server) and NoSQL (e.g., MongoDB, Cassandra) databases. - Hands-on experience with microservices architecture and containerization tools like Docker and Kubernetes. - Strong understanding of cloud platforms like Microsoft Azure, AWS, or Google Cloud for deployment, monitoring, and management. - Proficiency in implementing security best practices (e.g., OAuth, JWT, encryption techniques). - Experience with CI/CD pipelines and tools such as Jenkins, GitHub Actions, or Azure DevOps. - Familiarity with Agile methodologies and participation in sprint planning and reviews. Good-to-Have Skills : - Experience with time-series databases like TimescaleDB or InfluxDB. - Experience with monitoring solutions like Datadog or Splunk. - Experience with real-time data processing frameworks like Kafka or RabbitMQ. - Familiarity with serverless architecture and tools like Azure or AWS Lambda Functions. - Expertise in Java backend services and microservices - Hands-on experience with business intelligence tools like Grafana or Kibana for monitoring and visualization. - Knowledge of API management platforms like Kong or Apigee. - Experience with integrating AI/ML models into back-end systems. - Familiarity with MLOps pipelines and managing AI/ML workloads. - Understanding of iPaaS (Integration Platforms as a Service) and related technologies. Key Competencies & Attributes : - Strong problem-solving and analytical skills. - Exceptional organizational skills with the ability to manage multiple priorities. - Adaptability to evolving technologies and industry trends. - Excellent collaboration and communication skills to work effectively in cross-functional teams. - Ability to thrive in self-organizing teams with a focus on transparency and trust.

Lead Messaging & Scheduling systems, manage real-time data processing & predictive analytics, work with time-series databases (InfluxDB, Kafka, OSIsoft), design event-driven architectures (Flink, Spark, Azure Event Hubs), and oversee IT teams