Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Strong employer brand, metro location, common mid-level data engineer title, and broad skill requirements.
Core data engineering skills are transferable, but finance-specific governance and tooling increase specialization.
No explicit years but mandatory data stack, governance, and regulated-finance expectations tighten screening.
Build, own, and optimize enterprise-scale data products and data processing pipelines.
Ensure data quality, governance, and enforcement of data/API contracts across platforms.
Collaborate with stakeholders to develop scalable, cost-effective solutions involving testing, CI/CD pipelines, and issue resolution.
Bachelor’s degree in Computer Science, Engineering, or related field.
Experience designing and building enterprise data pipelines and platforms.
Proficiency in SQL/PLSQL, AWS, relational/distributed databases, Python and/or Spark, data pipeline tools, and scheduling/orchestration tools like Control-M or Airflow.
Work shift: 2:00 PM to 11:00 PM IST.
Experienced working in fast-paced, cross-functional teams integrating with sales and business stakeholders, emphasizing data quality and governance.
Technical proficiency in cloud technologies, CI/CD, observability, and monitoring to optimize pipeline performance and cost management.
Able to clearly communicate complex data concepts and influence decisions across teams.