Company Description
At Transond Systems , we build innovative, data-driven products that transform how businesses and cities interact with technology. Our engineering teams work on high-volume IoT systems, scalable cloud platforms, and real-time analytics solutions for multiple domains.
Role Overview
We’re looking for a Senior Data Engineer to design and implement robust, scalable data pipelines that power analytics, reporting, and predictive insights across complex IoT-enabled platforms.
Key Responsibilities
Build end-to-end data pipelines for real-time and batch processing of high-volume IoT and operational data.
Collaborate with backend, database, and engineering teams to ensure clean, high-quality, and well-structured data .
Optimize data storage and access across SQL, NoSQL, and time-series databases.
Support analytics, dashboards, and predictive models for operational and business insights.
Ensure data security, governance, and compliance across large-scale systems.
Participate in data architecture discussions , helping define best practices and scalable solutions.
Required Skills & Experience
4–8 years of hands-on experience in data engineering or data platform development .
Proficiency in Python, SQL , and ETL / ELT orchestration tools (Airflow, Prefect, or similar).
Experience with streaming / messaging frameworks like Kafka, Spark, or Flink.
Knowledge of cloud-based data architectures (AWS, Azure, or GCP).
Experience with SQL, NoSQL, or time-series databases (PostgreSQL, MongoDB, InfluxDB, TimescaleDB).
Strong problem-solving skills and ability to work in a fast-paced, multi-product environment .
Bonus : Familiarity with IoT telemetry, large-scale sensor data, or real-time analytics platforms .
Nice to Have
Experience with time-series or sensor data .
Familiarity with machine learning pipelines or predictive analytics.
Exposure to multi-product or multi-tenant platforms .
Knowledge of data observability, lineage, and governance tools .
Senior Data Engineer • Chennai, Tamil Nadu, India