Senior Data Engineer

You will have the following responsibilities:

Design

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

Qualifications:

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

Deep knowledge of Snowflake.

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 - 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