About the Role
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 ...
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 ...
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