Senior Data Engineer

Company Description

Transond Systems

Role Overview

Senior Data Engineer

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

• 48 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

  .