Senior Data Engineer

4 days ago

Race Course, India Transond Systems Full time

Company DescriptionAt 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 OverviewWe’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 ResponsibilitiesBuild 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 & Experience4–8 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 HaveExperience 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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