Senior Data Engineer - Hybrid - Dayshift - BGC - Up To 170K
Full-time
weSource Management Consultancy Firm
We are hiring for a Senior Data Engineer for a client based in BGC.
This is a Hybrid work following a Dayshift schedule.
Salary is up to ₱170,000.00 based on experience.
Key Requirements:
- 7+ years of experience in data engineering or a similar role, preferably in the financial industry
- Bachelors or Masters degree in Computer Science, Information Technology,
- Engineering, or a related quantitative discipline from a top-tier university
- Certified in AWS Data Engineer Specialty or AWS Solutions Architect Associate
- Snowflake SnowPro Core Certification
- Strong understanding or hands-on experience with Enterprise Agile frameworks (e.g.,Kanban, SAFe, SCRUM)
- Solid understanding of ETL, data warehousing, BI (e.g., Qlik), and advanced data analytics concepts
- Deep knowledge of cloud-enabled technologies such as AWS RDS, AWS Fargate, etc.
- Experience with databases and data warehouses including Snowflake, PostgreSQL, and MS SQL
- Strong programming skills with advanced knowledge of Java and/or Python
- Practical experience with ETL tools such as AWS Glue
- Excellent critical thinking, analytical, and problem-solving skills
- Strong communication skills with a team-oriented mindset
Responsibilities:
Design
- Analyze internally and externally sourced raw data to generate BI and advanced analytics datasets based on stakeholder requirements
- Design data pipelines to curate sourced data into the in-house data warehouse
- Develop data marts to facilitate dataset consumption from the in-house data warehouse by business and IT stakeholders
- Design data model changes in alignment with in-house data warehouse standards
- Define and plan migration execution activities to transition data from existing database solutions to the in-house data warehouse
Engineer
- Perform regular housekeeping of raw data and data stored in the in-house data warehouse
- Build and maintain data pipelines and data platforms
- Develop data solution prototypes to support evolving business needs
- Explore methods to enhance data quality and reliability
- Identify and pursue opportunities to acquire higher-quality raw data
- Develop analytical tools to support BI and advanced analytics activities
- Execute data migration from existing databases to the in-house data warehouse
- Promote and champion data engineering standards and best-in-class methodologies
Vacancy posted 21 days ago
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