Data Engineer

Key Responsibilities:

• Design, develop, and maintain

  ETL pipelines

  to ingest, clean, and transform large volumes of structured and unstructured data.
• Work closely with data scientists and analysts to support

  advanced analytics

  ,

  machine learning models

  , and

  reporting frameworks

  .
• Write/Optimize

  SQL queries

  and

  BigQuery datasets

  for performance and scalability.
• Build and manage

  data marts

  ,

  dashboards

  , and

  analytics-ready datasets

  .
• Ensure

  data quality

  ,

  consistency

  , and

  security

  across all data processes.
• Apply

  basic statistical techniques

  to validate data and support analytical models.
• Collaborate with cross-functional teams to understand business needs and translate them into technical solutions.
• Monitor and troubleshoot data workflows and resolve issues proactively.

Required Skills & Qualifications:

• Bachelors degree in Computer Science, Engineering, Mathematics, or a related field.
• Minimum

  4 years of experience

  in data engineering or analytics roles.
• Strong proficiency in

  Python

  , especially with libraries like

  pandas, numpy, folium, scikit-learn

  , and experience in

  multi-processing/threading

  .
• Hands-on experience with

  MySQL

  and

  BigQuery

  .
• Solid understanding of

  data warehousing

  ,

  ETL frameworks

  , and

  cloud-based data platforms

  .
• Familiarity with

  basic statistical concepts

  such as distributions, correlation, and regression.
• Experience with

  fleet data

  ,

  IoT

  , or

  telematics

  is a plus.
• Knowledge of

  version control (Github)

  and

  CI/CD pipelines

  is desirable.
• Strong analytical and problem-solving skills with excellent communication abilities.