Data Analyst/Engineer

Company Overview

We specialize in leveraging cutting-edge satellite and aerial-based technologies to redefine data intelligence. Our expertise in large-scale data engineering allows us to transform complex, multi-source data into actionable insights, enhancing decision-making in the Maritime and Defense sectors. As we look to the future, Blurgs is committed to continuing the innovation, driving advancements that address the critical challenges faced by these industries. Join us as we lead the charge in revolutionizing industry standards and improving global security and maritime operations.

Job Description

We are seeking a highly motivated and skilled Data Analyst/Engineer with 1–2 years of experience to join our growing tech team. This role involves working on real-time sensor data, time-series analysis, geospatial ML models, and building robust data pipelines for high-impact applications. You’ll collaborate with our AI, product, and engineering teams to turn raw data into actionable intelligence.

Key Responsibilities

• Analyze, clean, and process live sensor data, time-series data, and geospatial datasets.
• Develop and deploy ML and deep learning models for predictive analytics and pattern recognition.
• Build and maintain scalable data pipelines for ingestion, transformation, and storage.
• Work closely with ML engineers to operationalize models (ML DevOps) and monitor model performance in production.
• Contribute to data visualization dashboards and reporting systems for internal teams and clients.
• Collaborate cross-functionally to define data needs, explore new sources, and improve data accessibility and quality.
• Ensure data security, integrity, and compliance with best practices.

Qualifications

• Bachelor’s degree in Computer Science, Data Science, Engineering, or related fields.
• 1–2 years of relevant experience in data analysis or engineering roles.
• Hands-on experience with live sensor data, time-series datasets, or geospatial data is a strong plus.
• Proficiency in Python and tools such as Pandas, NumPy, PyTorch/TensorFlow, and geospatial libraries like GeoPandas or PostGIS.
• Familiarity with ML workflows, training pipelines, and deployment tools such as MLflow, DVC, or Kubeflow.
• Basic understanding of Docker and containerized environments for data/ML services.
• Strong problem-solving skills and an ability to work independently in a fast-paced environment.
• Bonus: Experience with AWS/GCP, Kafka, or time-series databases like InfluxDB or TimescaleDB.

What We Offer

• Opportunity to work with cutting-edge technologies and real-world AI applications.
• Competitive salary and performance-based bonuses.
• Company-sponsored upskilling and learning opportunities.
• Hybrid working model with an office in Electronic City, Bangalore.
• Dynamic and collaborative team environment focused on innovation and impact.