Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Tier-1 brand and metro location raise competition, but senior specialized role reduces applicant density.
Core data engineering skills transfer across industries, though financial-services context may favor relevant domain experience.
Explicit 10+ years requirement and specific data engineering, cloud, and BI tool skills enforce strict filters.
Design, develop, and maintain scalable data pipelines and ETL processes to support analytics and reporting.
Create and optimize complex data models and SQL queries for data extraction, transformation, and analysis.
Collaborate with cross-functional teams to ensure data quality, integrity, governance, and implement data architecture best practices.
10+ years of hands-on data engineering experience.
Strong SQL skills and expertise in data modelling.
Experience with relational databases such as SQL Server, PostgreSQL, or MySQL.
Understanding of data warehousing concepts and experience with ETL frameworks.
Experienced in building scalable data solutions in complex environments, preferably within financial services or related sectors.
Proficient in advanced SQL, data modelling, and data pipeline development, demonstrating operational ownership over data quality and governance.
Ability to collaborate effectively with analysts, business stakeholders, and engineering teams, driving best practices in data architecture.