Posted:3 days ago|
Platform:
On-site
Full Time
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 businessand 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 inhousedata 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.
You will have the following qualifications:
Bachelor’s or master’s degree in Computer Science, Information Technology, Engineering or relatedquantitative 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, preferablyin 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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