Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Tier-1 brand, metro location, and a common Senior Data Engineer title increase applicant competition.
Core data engineering skills are transferable, though fintech governance and tools add some domain specificity.
Requires specific cloud data platform skills and strong data modeling, but lacks an explicit years requirement.
Design, develop, and support scalable data pipelines and platforms on modern cloud environments to enable analytics and business insights.
Collaborate with engineering, BI, and business teams to deliver reliable, high-quality, governed data products and reporting datasets.
Monitor and troubleshoot production data processes to improve performance, reliability, and data quality while contributing to governance and documentation standards.
Experience developing and supporting data pipelines and data transformations (seniority level: Senior Data Engineer).
Strong SQL and data modeling skills.
Familiarity with cloud-based data platforms and tools such as Databricks, Snowflake, dbt, Spark, or similar.
Work Experience Required: Not explicitly mentioned in the JD.
Has a strong understanding of data warehousing, data governance, and data quality concepts relevant to cloud-native data solutions.
Demonstrates technical troubleshooting skills with a focus on sustainable data solutions for production environments.
Operates effectively with both technical and non-technical stakeholders to translate requirements into scalable data products.