Senior Data Engineer

4 days ago

Coimbatore, Tamil Nadu, India Transond Systems Full time ₹ 15,00,000 - ₹ 25,00,000 per year

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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