Posted on: 03/09/2025
Job Description :
- Analyse relevant internally and externally sourced data (raw data) to generate BI and Advanced Analytics datasets based on your stakeholders requirements.
- Design data pipelines to curate sourced data into the inhouse data warehouse.
- Design data marts to facilitate dataset consumption out of the inhouse data warehouse by business and IT internal stakeholders.
- Design data model changes that align with the inhouse data warehouse standards.
- Define migration execution activities to move data from existing database solutions to the inhouse data warehouse Engineer.
- Regular housekeeping of raw data and data stored in the inhouse data warehouse.
- Build and maintenance of data pipelines and data platforms.
- Build data solution prototypes.
- Explore ways to enhance data quality and reliability.
- Identify and realize opportunities to acquire better data (raw data).
- Develop analytical tooling to better support BI and Advanced Data Analytics activities.
- Execute data migration from existing databases to the inhouse data warehouse.
- Promote and champion data engineering standards and best-in-class methodology.
Required Skills :
- Certified in AWS Data Engineer Specialty or AWS Solution Architect Associate.
- Snowflake SnowPro Core Certification.
- 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.
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Posted in
Data Engineering
Functional Area
Data Engineering
Job Code
1539547
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