Data Engineer
Data Engineer
RCBC BankardFresher
- Posted a day ago
- Be among the first 10 applicants
Job Description
Job Summary
- Responsible for leading the data engineering initiatives of the Data Science & Analytics group to manage data for analytics, visualization and modeling. This role shall ensure data availability, integrity and manageability across the group. This role is also responsible for keeping up to date with any emerging tech related to data management.
- Ensures data availability, integrity and manageability across the group. The Department's work scope and capabilities shall cover the following:
- - Keep abreast of new technologies and developments in Data Science to continuously enhance tools and methodologies used in the Data Science & Analytics group.
- - Standardize, unify and optimize internal & external data, leveraging scalable technologies to provide high quality, secure and rapid data solutions to support Data Science & Analytics initiatives.
- - Manage data across the Data Science group providing a single customer view of internal and external data.
- Degree in Mathematics, Statistics, Computer Science, Management Information Systems, or related field;
- Hands on experience in Data Engineering preferably in Data Science applications.
- Adequate exposure to Data Science, various data type and source and technology used in Data Science.
- Excellent communication, problem solving and executive judgment skills; ability to lead change and with passion for creating solutions; strong interpersonal skills; excellent project management and presentation skills
More Info
Key Skills
About Company
Skills:
smartsheet , snowflake , Flat Files, Servicenow, Metadata Management, Apis, Data Transformation, Data Architecture, Data Modeling, Jira, Data Quality, Advanced Sql, Amazon Redshift, Databricks, Google BigQuery, Adobe Workfront, cloud data warehouses, Relational Databases, scheduled data feeds, Microsoft Azure Data Factory
Skills:
data engineering , .NET, Machine Learning, Power Bi, Tableau, Automation, Sql, Python, Generative AI, Ai, Analytics, Business Intelligence
Skills:
ETL tools and data integration techniques, Databricks Unified Data Analytics Platform, Python Programming Language, data modeling and database design principles, cloud platforms and services related to data engineering, data warehousing concepts and practices
Skills:
data engineering , .NET, Machine Learning, Power Bi, Tableau, Automation, Sql, Python, Generative AI, Ai, Analytics, Business Intelligence
Skills:
snowflake , Incident And Problem Management, Change Management, Sql, Documentation and Knowledge Management, Monitoring and Analytical Skills, Snowflake Security and Governance, Data Engineering Concepts