Senior Data Engineer
5 days 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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