3 Time-Series Databases Jobs

Data Analyst Location: Bangalore Experience: 8 - 15 Yrs Type: Full-time Role Overview We are seeking a skilled Data Analyst to support our platform powering operational intelligence across airports and similar sectors. The ideal candidate will have experience working with time-series datasets and operational information to uncover trends, anomalies, and actionable insights. This role will work closely with data engineers, ML teams, and domain experts to turn raw data into meaningful intelligence for business and operations stakeholders. Key Responsibilities Analyze time-series and sensor data from various sources Develop and maintain dashboards, reports, and visualizations to communicate key metrics and trends. Correlate data from multiple systems (vision, weather, flight schedules, etc) to provide holistic insights. Collaborate with AI/ML teams to support model validation and interpret AI-driven alerts (e.g., anomalies, intrusion detection). Prepare and clean datasets for analysis and modeling; ensure data quality and consistency. Work with stakeholders to understand reporting needs and deliver business-oriented outputs. Qualifications & Required Skills Bachelors or Masters degree in Data Science, Statistics, Computer Science, Engineering, or a related field. 5+ years of experience in a data analyst role, ideally in a technical/industrial domain. Strong SQL skills and proficiency with BI/reporting tools (e.g., Power BI, Tableau, Grafana). Hands-on experience analyzing structured and semi-structured data (JSON, CSV, time-series). Proficiency in Python or R for data manipulation and exploratory analysis. Understanding of time-series databases or streaming data (e.g., InfluxDB, Kafka, Kinesis). Solid grasp of statistical analysis and anomaly detection methods. Experience working with data from industrial systems or large-scale physical infrastructure. Good-to-Have Skills Domain experience in airports, smart infrastructure, transportation, or logistics. Familiarity with data platforms (Snowflake, BigQuery, Custom-built using open-source). Exposure to tools like Airflow, Jupyter Notebooks and data quality frameworks. Basic understanding of AI/ML workflows and data preparation requirements.

Role Overview As the Director of Engineering, you will take full ownership of our technology strategy, system architecture, and engineering execution. In this high-impact role, you'll wear multiple hats from designing real-time trading systems and market data pipelines to mentoring engineers, managing infrastructure, and collaborating with founders on product direction. This role is ideal for someone who thrives in fast-paced, high-ownership environments, has full-stack and systems-level expertise, and can bridge product vision with scalable, maintainable tech execution in the financial technology domain. Experience: 8 to 15 Years Location: Coimbatore, Tamil Nadu Shift: Day Mode of Work: Work from Office Responsibilities: Technical Leadership - Own and evolve the full technology stack: backend, frontend, infrastructure, and DevOps - Architect scalable, low-latency systems for real-time data ingestion, analytics, and strategy execution - Conduct detailed code and architecture reviews to ensure quality, performance, and security - Mentor and support engineers; lead by example with high engineering standards Product & Business Alignment - Collaborate with founders and business teams to translate product vision into technical milestones - Align technical decisions with product, compliance, and trading goals - Evaluate trade-offs between speed, cost, and long-term maintainability Team & Culture - Mentor and support engineers; lead by example with high engineering standards - Promote a collaborative, ownership-driven engineering environment Must-Have Skills: - Languages: Expert in at least one of Scala, Ruby on Rails, Node.js, React.js, Type Script - Databases: Proficient with Relational (PostgreSQL, MySQL) and NoSQL (Mongo DB, Redis, Cassandra, Rocks DB) - Experience with time-series databases (e.g., Timescale DB) is a strong plus - DevOps & Infra: Hands-on with Docker, Kubernetes, CI/CD pipelines - Cloud: Experience with AWS, Digital Ocean, or similar cloud platforms - Architecture: Strong experience in designing Micro Services, event-driven systems and database schema design - Soft Skills: Excellent communication, PR/code reviews, and cross-functional leadership Good to Have Skills: - Startup experience or having played a founding/leadership engineering role - Exposure to UI/UX thinking and frontend frameworks beyond React - Knowledge of system design for scale, performance, and security - Experience in mentoring and building diverse engineering teams Why Join Us: - Be part of a mission-driven Fintech Start up at a transformative stage - Take full ownership of the tech stack and influence product direction - Collaborate with passionate founders and a lean, high-performance team - Work on cutting-edge financial systems that impact real traders and investors

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