▷ (Only 24h Left) Senior Data Engineer

5 days ago


Coimbatore, India Transond Systems Full time

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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