Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Tier-1 brand, mid-level data engineer role, Bangalore location, and broad generalist skillset increase candidate density.
Core data engineering skills transfer broadly, but ETL/tool and finance-systems experience increases domain specificity.
Explicit 5–8 years plus specific ETL, database, and CI/CD requirements create strict shortlisting.
Design, develop, and maintain scalable data pipelines and ETL workflows to support large data volumes and integration from multiple sources.
Collaborate with stakeholders to understand data requirements and deliver data solutions focused on data quality, governance, and performance optimization.
Document processes and work onsite in Bangalore with a fixed shift timing of 01:00-10:00 PM IST, adhering to a 5-day office schedule.
Bachelor’s degree in Computer Science, IT, Data Science, or related field.
5-8 years of experience in data engineering, data analysis, or software development.
Proficient in advanced SQL (Oracle, Teradata, Snowflake) and ETL tools like Datastage, Informatica, Snaplogic.
Must work onsite in Bangalore 5 days a week with shift timing 01:00-10:00 PM IST; visa sponsorship not available.
Experienced with designing ETL architectures and managing complex data integration projects in a financial systems tech support environment.
Able to translate business requirements into technical data solutions and collaborate effectively with business and IT teams.
Comfortable working in structured shift hours onsite and handling data governance, data quality, and performance monitoring responsibilities.