Big Data Engineer

As a Big Data Engineer Officer at Citigroup, you will be an integral part of our team, working with cutting-edge technologies such as Hadoop, Hive, Python, and Pyspark to drive the success of our organization. Your role will involve developing and maintaining data pipelines, designing scalable data solutions, and collaborating with cross-functional teams to provide efficient data solutions. Here's a breakdown of your key responsibilities: - Develop and maintain data pipelines using Hadoop, Hive, Python, and Pyspark. - Design and implement scalable data solutions to meet business requirements. - Collaborate with cross-functional teams to understand data needs and provide efficient solutions. - Monitor and troubleshoot data processes to ensure data quality and reliability. - Stay updated with the latest data engineering trends and technologies to continuously improve processes. - Work closely with data architects to design and implement data models. - Optimize data storage and retrieval processes for maximum efficiency. - Develop and maintain documentation for data processes, tools, and systems. - Participate in code reviews and provide feedback to improve code quality. - Identify and resolve performance issues in data pipelines. - Develop and maintain data security and privacy protocols. - Collaborate with business stakeholders to understand data requirements and provide data insights. - Train and mentor junior data engineering team members. - Contribute to the development and maintenance of data governance policies and procedures. - Provide regular updates to project managers and team leads on project progress and roadblocks. Citigroup is committed to diversity and creating an inclusive environment for all employees. We do not discriminate based on any legally protected characteristics. Join us in our mission to provide innovative solutions and drive growth for our clients. As a Big Data Engineer Officer at Citigroup, you will be an integral part of our team, working with cutting-edge technologies such as Hadoop, Hive, Python, and Pyspark to drive the success of our organization. Your role will involve developing and maintaining data pipelines, designing scalable data solutions, and collaborating with cross-functional teams to provide efficient data solutions. Here's a breakdown of your key responsibilities: - Develop and maintain data pipelines using Hadoop, Hive, Python, and Pyspark. - Design and implement scalable data solutions to meet business requirements. - Collaborate with cross-functional teams to understand data needs and provide efficient solutions. - Monitor and troubleshoot data processes to ensure data quality and reliability. - Stay updated with the latest data engineering trends and technologies to continuously improve processes. - Work closely with data architects to design and implement data models. - Optimize data storage and retrieval processes for maximum efficiency. - Develop and maintain documentation for data processes, tools, and systems. - Participate in code reviews and provide feedback to improve code quality. - Identify and resolve performance issues in data pipelines. - Develop and maintain data security and privacy protocols. - Collaborate with business stakeholders to understand data requirements and provide data insights. - Train and mentor junior data engineering team members. - Contribute to the development and maintenance of data governance policies and procedures. - Provide regular updates to project managers and team leads on project progress and roadblocks. Citigroup is committed to diversity and creating an inclusive environment for all employees. We do not discriminate based on any legally protected characteristics. Join us in our mission to provide innovative solutions and drive growth for our clients.