Senior Data Engineer (Data Integration & APIs)

Job Description Role: Senior Data Integration & API Engineer Experience: 7-10 Years Location: Remote Domain: Banking and Finance Skills Required: SQL, Data Integration, REST APIs, Data Transformation, ODS/Data Warehousing, Batch Processing, Python, Snowflake, Git, Data Warehousing. Immediate joiners only Good Communication About the Role We are looking for a Senior Data Engineer (Data Integration & APIs) with 610 years of experience to design and build scalable data pipelines and integration solutions. This role focuses on customer and account data management, business rule implementation, and API/file-based system integrations. Key Responsibilities Design and build end-to-end data integration workflows across multiple systems Develop and optimize scalable data pipelines using SQL and Python Work with modern data platforms like Snowflake / Databricks Implement data transformation and aggregation logic for reusable datasets Build and integrate REST APIs and SFTP-based file solutions (JSON/XML) Apply business rules for account eligibility, validation, and processing Handle edge cases (inactive accounts, duplicates, zero-balance scenarios) Ensure proper workflow sequencing and dependency management Perform testing, logging, error handling, and reprocessing Collaborate with cross-functional teams and maintain documentation Requirements 610 years of experience in Data Engineering / Data Integration / Backend Engineering Strong expertise in SQL (advanced) and Python Hands-on experience with Snowflake or Databricks Experience with REST APIs, SFTP, JSON/XML integrations Solid understanding of data warehousing (ODS), batch processing Experience handling large-scale data pipelines and multi-system integrations Strong problem-solving and analytical skills Good to Have Experience in banking / financial services domain Exposure to ETL tools like Informatica, Talend, SSIS Familiarity with customer/account data models Experience with core banking platforms (e.g., Fiserv) Job Description Role: Senior Data Integration & API Engineer Experience: 7-10 Years Location: Remote Domain: Banking and Finance Skills Required: SQL, Data Integration, REST APIs, Data Transformation, ODS/Data Warehousing, Batch Processing, Python, Snowflake, Git, Data Warehousing. Immediate joiners only Good Communication About the Role We are looking for a Senior Data Engineer (Data Integration & APIs) with 610 years of experience to design and build scalable data pipelines and integration solutions. This role focuses on customer and account data management, business rule implementation, and API/file-based system integrations. Key Responsibilities Design and build end-to-end data integration workflows across multiple systems Develop and optimize scalable data pipelines using SQL and Python Work with modern data platforms like Snowflake / Databricks Implement data transformation and aggregation logic for reusable datasets Build and integrate REST APIs and SFTP-based file solutions (JSON/XML) Apply business rules for account eligibility, validation, and processing Handle edge cases (inactive accounts, duplicates, zero-balance scenarios) Ensure proper workflow sequencing and dependency management Perform testing, logging, error handling, and reprocessing Collaborate with cross-functional teams and maintain documentation Requirements 610 years of experience in Data Engineering / Data Integration / Backend Engineering Strong expertise in SQL (advanced) and Python Hands-on experience with Snowflake or Databricks Experience with REST APIs, SFTP, JSON/XML integrations Solid understanding of data warehousing (ODS), batch processing Experience handling large-scale data pipelines and multi-system integrations Strong problem-solving and analytical skills Good to Have Experience in banking / financial services domain Exposure to ETL tools like Informatica, Talend, SSIS Familiarity with customer/account data models Experience with core banking platforms (e.g., Fiserv)