About the role
Your work profile
We're looking for MDM Data Engineer with strong
understanding of Master Data Management (MDM) concepts and principles that can
build data pipeline orchestrations and workflows in Airflow. Shoule be able to
develop models, build data products, and perform transformations using
DBTPerformance optimizations across data pipelines, SQL, and BigQuery, High
quality documentation, ability to operate independently, and collaborate with
cross-functional technical and non-technical teams globally, produce consistent
high quality code accelerated by Al Core Technical Requirements
- Proficient in Python, and DBT (DBT Fusion is
highly preferred over DBT Core)
•Build, deploy, and maintain Airflow DAGs for ingestion, data processing, and orchestration Strong hands-on SQL capability in crafting efficient, performant, and cost-effective queries
•Extensive experience working in GCP BigQuery
•Strong data modelling expertise
•Strong background on data governance
•CI/CD experience e.g. GitHub, Bitbucket, GitHub Actions, Bamboo, ArgoCD
•Strong understanding of Secure by design principles
•Experience working in AWS Cloud
•Experience with AWS Redshift, Snowflake
RequirementsSuccess MetricsMetrics
•Flexibility of working hours where needed
•Experience working within Agile delivery framework
•Use of JIRA and Confluence for task management and documentation
•Relevant working experience in Financial Services e.g. Banking and Financial Services, Fund Management, Investment Management
•Strong understanding of Master Data Management principles
•Experience working in an MDM Platform
•5 to 10 years of experience as a Data Engineer
•Strong problem-solving and communication skills
•Strong Risk Management mindset
•Strong understanding of Change, Incident, and Problem Management
•Ability to collaborate with both technical and non-technical stakeholders globally
•Ability to delivery quality output independently with minimal oversight
Qualifications
•Education
- B. tech or BE