Data Engineer FinTech

As a Data Engineer in our FinTech domain, you will be responsible for designing, developing, and maintaining scalable ETL/ELT pipelines for structured and unstructured financial data. Your key responsibilities will include: - Designing, developing, and maintaining scalable ETL/ELT pipelines for structured and unstructured financial data. - Building and optimizing batch and real-time data processing systems. - Integrating market, financial, and alternative data sources into centralized data platforms. - Developing robust data models, data warehouses, and lakehouse architectures. - Ensuring high standards of data quality, governance, security, and compliance. - Collaborating with AI/ML teams to support intelligent automation and analytics initiatives. - Optimizing data infrastructure for performance, reliability, and scalability. - Participating in architecture reviews and contributing to technical design decisions. - Implementing CI/CD and DevOps best practices for data engineering workflows. The qualifications required for this role include: - Python - SQL - ETL/ELT Development - Databricks - Apache Spark - Apache Kafka - Data Warehousing - Lakehouse Architecture - Streaming Data - Cloud Platforms (AWS, Azure, or GCP) - CI/CD - DevOps - Data Governance - API Integration In addition to the above responsibilities and qualifications, the preferred experience for this role includes: - FinTech, Investment Research, Banking, Capital Markets, or Financial Services domain experience. - Experience working with large-scale data platforms and distributed systems. - Strong understanding of cloud-native data engineering architectures. If you have 5+ years of Data Engineering experience using Python and SQL, worked with Databricks, Spark, Kafka, and cloud platforms (AWS/Azure/GCP), and have experience building real-time or batch data pipelines in FinTech or financial services environments, we would like to hear from you. Please provide your Current CTC, Expected CTC, Notice Period, and Last Working Day (if currently serving notice). Please note that the work location for this position is a hybrid remote setup in Bangalore City, Bengaluru, Karnataka. As a Data Engineer in our FinTech domain, you will be responsible for designing, developing, and maintaining scalable ETL/ELT pipelines for structured and unstructured financial data. Your key responsibilities will include: - Designing, developing, and maintaining scalable ETL/ELT pipelines for structured and unstructured financial data. - Building and optimizing batch and real-time data processing systems. - Integrating market, financial, and alternative data sources into centralized data platforms. - Developing robust data models, data warehouses, and lakehouse architectures. - Ensuring high standards of data quality, governance, security, and compliance. - Collaborating with AI/ML teams to support intelligent automation and analytics initiatives. - Optimizing data infrastructure for performance, reliability, and scalability. - Participating in architecture reviews and contributing to technical design decisions. - Implementing CI/CD and DevOps best practices for data engineering workflows. The qualifications required for this role include: - Python - SQL - ETL/ELT Development - Databricks - Apache Spark - Apache Kafka - Data Warehousing - Lakehouse Architecture - Streaming Data - Cloud Platforms (AWS, Azure, or GCP) - CI/CD - DevOps - Data Governance - API Integration In addition to the above responsibilities and qualifications, the preferred experience for this role includes: - FinTech, Investment Research, Banking, Capital Markets, or Financial Services domain experience. - Experience working with large-scale data platforms and distributed systems. - Strong understanding of cloud-native data engineering architectures. If you have 5+ years of Data Engineering experience using Python and SQL, worked with Databricks, Spark, Kafka, and cloud platforms (AWS/Azure/GCP), and have experience building real-time or batch data pipelines in FinTech or financial services environments, we would like to hear from you. Please provide your Current CTC, Expected CTC, Notice Period, and Last Working Day (if currently serving notice). Please note that the work location for this position is a hybrid remote setup in Bangalore City, Bengaluru, Karnataka.