Strong understanding or practical experience of at least one common Enterprise Agile Framework e.g., Kanban, SAFe, SCRUM, etc.
Strong understanding of ETL, data warehouse and BI(Qlik) and Advanced Data Analytics concepts
Deep knowledge of cloud-enabled technologies AWS RDS and AWS Fargate, etc.
Experience with databases and data warehouses - Snowflake, PostgreSQL, MS SQL
Strong programming skills with advanced knowledge of Java and/or Python
Practical experience with ETL tools such as AWS Glue, etc.
Required Qualifications:
Bachelors or masters degree in Computer Science, Information Technology, Engineering or related quantitative discipline from a top tier university.
Certified in AWS Data Engineer Specialty or AWS Solution Architect Associate
Snowflake SnowPro Core Certification mandatory and 5+ years of hands on experience working on snowflake projects.
7+ years of experience in data engineering or relevant working experience in a similar role, preferably in the financial industry
Strong understanding or practical experience of at least one common Enterprise Agile Framework e.g. Kanban, SAFe, SCRUM, etc.
Strong understanding of ETL, data warehouse and BI(Qlik) and Advanced Data Analytics concepts
Deep knowledge of cloud-enabled technologies AWS RDS and AWS Fargate, etc. Experience with databases and data warehouses - Snowflake, PostgreSQL, MS SQL
Strong programming skills with advanced knowledge of Java and/or Python
Practical experience with ETL tools such as AWS Glue, etc.
Strong critical-thinking, analytical and problem-solving skills
Excellent communicator with team-oriented approach
About the Role:A Senior Data Engineer is mid-level professional leading the design, build and evolution of the inhouse data platforms. You lead the construction of datasets requested by various stakeholders, the build and maintenance of the resulting data pipelines. You closely work in collaboration with our data analysts, data scientist and business application development teams in delivering data solutions.Design1. Analyse relevant internally and externally sourced data (raw data) to generate BI and Advanced Analytics datasets based on your stakeholders requirements2. Design data pipelines to curate sourced data into the inhouse data warehouse3. Design data marts to facilitate dataset consumption out of the inhouse data warehouse by business and IT internal stakeholders4. Design data model changes that align with the inhouse data warehouse standards5. Define migration execution activities to move data from existing database solutions to the inhouse datawarehouseEngineer1. Regular housekeeping of raw data and data stored in the inhouse data warehouse2. Build and maintenance of data pipelines and data platforms3. Build data solution prototypes4. Explore ways to enhance data quality and reliability5. Identify and realize opportunities to acquire better data (raw data)6. Develop analytical tooling to better support BI and Advanced Data Analytics activities7. Execute data migration from existing databases to the inhouse data warehouse8. Promote and champion data engineering standards and best-in-class methodology
weSource Management Consultancy
Other Info
₱200,000 per year
Permanent
Full-time
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weSource Management Consultancy
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