Senior Data Engineer

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 .