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Contract Duration: 6-12 months with possibility of extension
Work setup: Day shift; Hybrid set-up (2-3 days RTO per week in Mandaluyong office)
Data Engineer
Qualifications:
5-7 years of experience in data engineering and ETL processes
Proficiency with SQL, Python, and big data technologies (e.g., Hadoop, Spark)
Knowledge of data warehousing and cloud data platforms (e.g., Redshift, BigQuery)
Experience with data pipeline orchestration tools such as Apache Airflow
Strong understanding of data modeling and database design
Familiarity with version control systems (e.g., Git)
Data Scientist
Qualifications:
Minimum of 2 years of experience in data science, data governance, or related
roles.
Proficiency in Python, SQL, and Git. Familiarity in R is a plus.
Experience with exploratory data analyses, model building and business validation,
and stakeholder management. Experience in data cataloguing and/or data pipeline
building is a plus.
Other details:
Job ID: 138937237