Senior Data Engineer
3 weeks ago
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.
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