Data Engineer

Role Overview: As a Data Engineer at our company in India, you will have the opportunity to leverage your technical skills to collaborate with colleagues and create seamless, digital-first customer experiences. Your main focus will be on simplifying the bank through the development of innovative data-driven solutions, ensuring commercial success through insightful decision-making, and maintaining the security and integrity of customer and bank data. By actively engaging with the data engineering community, you will contribute to the bank's strategic direction while expanding your professional network within the organization. Key Responsibilities: - Build and maintain a scalable data architecture by performing data engineering tasks - Extract, transform, and load data to enable data analysts and scientists to derive insights - Develop a deep understanding of the bank's data structures and metrics to drive product development - Implement DevOps practices in data engineering delivery, troubleshoot issues, and drive continuous improvement - Collaborate with technology and architecture teams to enhance data knowledge and deliver effective data solutions - Optimize data platform costs and design strategic solutions by leveraging cost levers - Source and integrate new data using appropriate tools to enhance customer-centric solutions Qualifications Required: - Minimum three years of experience in Scala, Spark, Kafka, Kafka streaming, and ETL management of large and complex data structures - Knowledge of Quantexa or Quantexa Certified Elastic Search - Proficiency in ETL technical design, data quality testing, data cleansing, monitoring, data warehousing, and data modeling - Familiarity with programming languages, data and software engineering fundamentals, and modern code development practices - Strong communication skills and ability to engage proactively with various stakeholders (Note: No additional details of the company were mentioned in the job description.) Role Overview: As a Data Engineer at our company in India, you will have the opportunity to leverage your technical skills to collaborate with colleagues and create seamless, digital-first customer experiences. Your main focus will be on simplifying the bank through the development of innovative data-driven solutions, ensuring commercial success through insightful decision-making, and maintaining the security and integrity of customer and bank data. By actively engaging with the data engineering community, you will contribute to the bank's strategic direction while expanding your professional network within the organization. Key Responsibilities: - Build and maintain a scalable data architecture by performing data engineering tasks - Extract, transform, and load data to enable data analysts and scientists to derive insights - Develop a deep understanding of the bank's data structures and metrics to drive product development - Implement DevOps practices in data engineering delivery, troubleshoot issues, and drive continuous improvement - Collaborate with technology and architecture teams to enhance data knowledge and deliver effective data solutions - Optimize data platform costs and design strategic solutions by leveraging cost levers - Source and integrate new data using appropriate tools to enhance customer-centric solutions Qualifications Required: - Minimum three years of experience in Scala, Spark, Kafka, Kafka streaming, and ETL management of large and complex data structures - Knowledge of Quantexa or Quantexa Certified Elastic Search - Proficiency in ETL technical design, data quality testing, data cleansing, monitoring, data warehousing, and data modeling - Familiarity with programming languages, data and software engineering fundamentals, and modern code development practices - Strong communication skills and ability to engage proactively with various stakeholders (Note: No additional details of the company were mentioned in the job description.)