DATA ENGINEER

KEY RESPONSIBILITY

• Support the Director in building and maintaining robust data architecture and solutions
• Design, construct, install, and maintain large-scale processing systems and data pipelines
• Extract, transform, and load (ETL) data from a wide variety of sources
• Implement data governance and data quality best practices
• Assist in optimizing query performance and monitoring system health
• Collaborate with data scientists, analysts, and business teams for data enablement
Document data processes and system designs for transparency and scalability

TECHNICAL COMPETENCIES

• Strong proficiency in SQL and data modeling
• Experience with ETL tools (e.g., Talend, Informatica, Apache NiFi)
• Knowledge of cloud platforms (AWS, Azure, or GCP) and data warehousing (e.g., Snowflake, Redshift)
• Proficiency in Python/Scala for data engineering tasks
• Understanding of CI/CD practices in data workflows
Familiarity with orchestration tools (e.g., Airflow, Prefect)

QUALIFICATIONS, EXPERIENCE AND SKILLS

Qualification: Bachelor’s degree in Computer Science, Information Systems, or a related field

Desirable Qualification: Master’s in Data Engineering, Computer Science, or related discipline

Work Experience: 3–5 years of hands-on experience in data engineering or data infrastructure roles

Technical Skills:

• Strong proficiency in SQL and data modeling
• Experience with ETL tools (e.g., Talend, Informatica, Apache NiFi)
• Knowledge of cloud platforms (AWS, Azure, or GCP) and data warehousing (e.g., Snowflake, Redshift)
• Proficiency in Python/Scala for data engineering tasks
• Understanding of CI/CD practices in data workflows
Familiarity with orchestration tools (e.g., Airflow, Prefect)

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