Data Engineer

We
are seeking a detail-oriented and highly motivated Data Engineer to join our
growing Data & Analytics team.
In this role, you will be responsible for designing, building, and maintaining
robust data pipelines and infrastructure that power insights across the
organization. You’ll work closely with data scientists, analysts, and engineers
to ensure the integrity, accessibility, and scalability of our data systems.

Key
Responsibilities:

• Design, develop, and maintain scalable
  data pipelines and ETL processes.
  
• Build and optimize data architecture to
  ensure data quality and consistency.
  
• Integrate data from diverse internal
  and external sources.
  
• Collaborate with cross-functional teams
  to define data requirements and deliver solutions.
  
• Implement best practices for data
  governance, security, and compliance.
  
• Monitor pipeline performance and
  perform real-time troubleshooting of data issues.
  
• Participate in code reviews and
  contribute to documentation and standards.
  

Required
Qualifications & Skills:

• Bachelor’s degree in computer science,
  Engineering, or a related field (or equivalent practical experience).
  
• 5+ years of professional experience in
  data engineering.
  
• Solid understanding of SQL and
  proficiency in at least one programming language, such as Python, Java, or
  Scala.
  
• Practical experience building and
  maintaining data pipelines using tools like Apache Airflow or DBT.
  
• Hands-on experience with cloud
  platforms (AWS, GCP, Azure) and data warehousing solutions (Redshift, BigQuery,
  Snowflake).
  
• Familiarity with big data technologies
  and frameworks, including Spark, Kafka, and Hadoop.
  
• Demonstrated ability to solve complex
  problems with a strong focus on detail.
  
• Experience implementing CI/CD practices
  for data workflows.
  
• Working knowledge of data modelling
  principles and schema design.
  
• Exposure to machine learning pipelines
  or real-time analytics systems is a plus