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 :

- Bachelor's or master's 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.

- 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. , 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.