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