Job Description

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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