HSI
Key Functions:
• Designing data models – Create efficient and scalable data models to support analytical and operational needs.
• Data architecture – Designing and implementing data structures that meet data architecture standards and business needs.
• Data integration – Integrate data from various sources into the data lake • Data pipeline – Implement automation to streamline data ingestion, transformation, and loading processes
• Data quality – Implement data validation and quality checks across the data management pipeline
• Collaboration – Collaborate with business analysts, developers, and business to understand data requirements and provide them with the necessary data
Key Performance Indicators (KPIs):
• Data Quality – Produce and query data with high accuracy, completeness, consistency, and validity for usability in analysis and key decision-making.
• Data Processing Efficiency – Data processing should maximize compute, storage, and transfer to optimize cost and run-time.
• System Uptime – Minimize disruption and downtime to ensure availability of data solutions during working and operating hours.
• Time-to-Insight – Data for business insights must be delivered within a workable timeline to ensure relevance and value appreciation.
• Bachelor's Degree in Computer Science, Software Engineering, Statistics or related field; Strong foundation in computer science principles, algorithms, software development methodologies, and data analysis.
• Relevant certification such as AWS Associate – Data Engineering, Snowflake SnowPro Associate and Core is a plus.
• Working experience in at least one, and ideally several, of: Python, Java, Scala, SQL.
• 3+ years of experience as a data engineer, data scientist, or SQL developer
• Expert knowledge of relational databases (RDBMS) – i.e. MySQL, PostgreSQL, MSSQL; knowledge in no-SQL databases (i.e Couchbase) is a plus.
• Working knowledge of data warehousing concepts and technologies (e.g., Snowflake, Redshift, BigQuery); proficiency in Snowflake is a plus.
• Working knowledge of cloud-based data services (e.g., AWS S3, Azure Blob Storage, Google Cloud Storage).
• Familiarity with data integration tools (e.g., Apache Airflow, Talend, Informatica)
• Proficient knowledge of data analysis concepts, Familiarity with data visualization tools (i.e. Tableau, Power BI) is a plus.
• Solid understanding of fundamental data structures
• Knowledge of data modeling and schema design
• Basic understanding of software development methodologies (e.g., Agile, Scrum)
• Strong analytical skills with the ability identify key business insights from aggregated and consolidated data. Soft Skills
• Excellent verbal and written communication skills, with the ability to collaborate across teams.
• Team player with a willingness to learn and work in an agile environment.
• Strong organizational and time management skills, with the ability to prioritize tasks effectively.
Lovely Colance
HRHSI
3日以内にオンライン
Quezon Ave. Quezon Ave, Quezon City, Metro Manila, Philippines
掲載日 30 June 2025
Data Engineer
Dempsey Resource Management Inc.
$1.2-1.4K[月給]
オンサイト - ケソン市5年以上10年未満の経験大卒正社員
HR Vilma DempseyTalent Acquisition Manager
Power BI - Data Engineer
WONESE Philippines
$1.2-1.4K[月給]
オンサイト - ケソン市3年以上5年未満の経験大卒正社員
JOANNA MONTEONRECRUITMENT SUPERVISOR
Data Engineer
QuadX Inc.
$1.1-1.2K[月給]
オンサイト - パシグ1年以上3年未満の経験大卒正社員
Patricia VictorioHR Business Partner
Data Engineer
Socium Staffing Solutions Inc.
$1.7-3.1K[月給]
オンサイト - マカティ5年以上10年未満の経験大卒正社員
Danah Marie MalubagHR Officer
Senior Data Engineer
Cloud Mile Corp.
相談可能
オンサイト - マニラ3年以上5年未満の経験大卒契約社員
Dara LeeHR Manager