Data Engineer - Manager

Join our Transformation Liquidity Engineering team in Gurugram and collaborate with a peer network of technologists at Macquarie. You will play a key role in implementing critical liquidity calculations, creating data visualizations, and delivering data to downstream systems. At Macquarie, we value diversity and empower our employees to explore various possibilities. As part of our global financial services group operating in 34 markets for over 55 years, you will be an integral part of a friendly and supportive team where everyone's ideas contribute to driving outcomes. **Role Overview:** - Leverage your deep understanding of big data technologies and enthusiasm for DevOps practices - Responsible for the full lifecycle of data assets, from design and development to deployment and support - Establish templates, methods, and standards for implementation - Manage deadlines, articulate technical problems and ideas, and help build better processes and practices **Key Responsibilities:** - 5+ years of hands-on experience building, implementing, and enhancing enterprise-scale data platforms - Proficiency in big data technologies including Spark, Python, Hive, SQL, Presto, Parquet, and Apache Airflow - Skilled in developing configuration-based ETL pipelines and UI-driven tools for data process optimization - Proficient in creating data visualizations with Power BI and related data models - Knowledgeable in cloud environments, preferably AWS, including EC2, S3, Linux, Docker, and Kubernetes - Background in finance or treasury, especially in Liquidity or Capital, is preferred **Qualifications Required:** - 5+ years of hands-on experience building, implementing, and enhancing enterprise-scale data platforms - Proficiency in big data with expertise in Spark, Python, Hive, SQL, Presto, storage formats like Parquet, and orchestration tools such as Apache Airflow - Skilled in developing configuration-based ETL pipelines and UI-driven tools for data process and calculation optimization (e.g., Dataiku) - Proficient in creating data visualizations with Power BI and related data models - Knowledgeable in cloud environments (preferably AWS), with an understanding of EC2, S3, Linux, Docker, and Kubernetes - Background in finance or treasury, especially in Liquidity or Capital, is preferred At Macquarie, Technology enables every aspect of our operations, connecting people and data, building platforms and applications, and designing future technology solutions. We are committed to diversity, equity, and inclusion, and provide reasonable adjustments to support individuals during the recruitment process and through working arrangements. If you require additional assistance, please let us know during the application process. Apply now and be a part of building a better future with us at Macquarie.,