senior big data etl integration EngineerMacquarie Group

Here at Macquarie, we are putting our customers first and changing how the world interacts with banks. We understand that banking in the future will be predominantly digital and so we're building our platforms from the ground up to match. We use tech Here at Macquarie, we are putting our customers first and changing how the world interacts with banks. We understand that banking in the future will be predominantly digital and so we're building our platforms from the ground up to match. We use technology as a catalyst to bring people together and help them realise their life ambitions through our products and solutions, which are designed by humans for humans. The Role We are searching for a Big Data Integration Engineer to join our team and play a lead role in our data transformation projects. In this role, you will help us define and drive Big Data and Talend ETL standards and best practices across our teams. You will design and implement ETL frameworks and various metadata-driven reusable components. You will have end-to-end accountability for developing, deploying, and supporting our data assets. Additionally, you will help grow your teams' technical expertise and stay abreast of new technologies and practices to enhance team capabilities and skills further. Qualifications Successfully delivered a project, with experience working in Agile and DevOps environment Proficient oral and written communications skills Dedicated, adaptable and able to quickly understand new concepts and apply them correctly Independent worker with effective interpersonal skills including mentoring, coaching, and team building Highly proficient in at least two of the following Talend ETL toolset (ideally both Talend Data Integration and Talend Big Data editions) Data warehousing with emphasis on the Information Management domain Big Data technologies such as Hive, Spark, Presto, AirFlow, general purpose storage (HDFS, S3, BLOB) and other Hadoop / Apache tools Experience in Data modelling using Data Vault 2.0 methodology will be highly appreciated Knowledge of different Spark-based PaaS solutions like EMR or DataBricks as well as programming languages like Scala or Python will be additional advantage Knowledge of CI/CD and code coverage analytical tools Familiarity with at least one cloud platform, preferably AWS or GCP Familiarity with configuration management tools and containerization technologies Familiarity with security/vulnerability tools Familiarity with monitoring tools What's in it for you Our work environment is modern and inclusive with a strong focus on employee experience You'll be part of a team that deeply values diversity and creates space for you to be your best You'll have flexible working options, including working from home You'll have opportunities to experiment and test your own ideas to see where they can lead We support ongoing professional development and technical certifications to help you develop your knowledge and skills About Banking and Financial Services Banking and Financial Services is Macquarie's retail banking and financial services business, providing a diverse range of personal banking, wealth management, business banking and vehicle finance products and services to retail clients, advisers, brokers and business clients. Our commitment to Diversity and Inclusion Macquarie understands the importance of diversity and inclusion - our long history of success has come from being different. At Macquarie we value the innovation and creativity that diversity of thought brings. The one thing we all have in common is our focus on high performance. If you're capable, motivated and can deliver, we want you on our team. We recognise that flexibility comes in a variety of forms. Talk to us about what flexibility you need.
Monster

Philippines
Permanent
Full-time