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2 Weeks ago

Data Engineer - Manager

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Hyderabad, Telangana, India
Information Technology
Full-Time
Macquarie Group

Overview

Join Corporate Operation Group team as a Data Engineer - Group Treasury Transformation Liquidity Engineering team for Gurugram Office.

You will be an integral part of a dynamic team of business and technology experts, collaborating with a robust network of technologists across our programme. Your role will involve working within a dedicated squad to ingest data from producers and implement essential liquidity calculations — all within a cutting-edge data platform. We place a strong emphasis on delivering a high-performing, robust, and stable platform that meets the business needs of both internal and external stakeholders.

At Macquarie, our advantage is bringing together diverse people and empowering them to shape all kinds of possibilities. We are a global financial services group operating in 31 markets and with 56 years of unbroken profitability. You’ll be part of a friendly and supportive team where everyone - no matter what role - contributes ideas and drives outcomes.

What role will you play?

In this role, you will leverage in building, implementing, and enhancing enterprise-scale data platforms. You will bring an in-depth knowledge of big data technologies and a strong desire to work in a DevOps environment, where you will have end-to-end accountability for designing, developing, testing, deploying, and supporting your data assets. Additionally, you will create templates, implementation methods, and standards to ensure consistency and quality. Additionally, you will be managing deadlines, articulating technical challenges and solutions, and contributing to the development of improved processes and practices. A growth mindset, passion for learning, and ability to quickly adapt to innovative technologies will be essential to your success in this role.

What You Offer

  • Expertise in Big Data technologies, specifically Spark, Python, Hive, SQL, Presto (or other query engines), big data storage formats (e.g., Parquet), and orchestration tools (e.g., Apache Airflow).
  • Proficiency in developing configuration-based ETL pipelines and user-interface driven tools to optimize data processes and calculations (e.g., Dataiku).
  • Experience in solution design, including the design of data models, data pipelines, and calculations, as well as presenting solution options and recommendations.
  • Experience working in a cloud-based environment (ideally AWS), with a solid understanding of cloud computing concepts (EC2, S3), Linux, and containerization technologies (Docker and Kubernetes).
  • A background in solution delivery within the finance or treasury business domains, particularly in areas such as Liquidity or Capital, is advantageous.

We love hearing from anyone inspired to build a better future with us, if you're excited about the role or working at Macquarie we encourage you to apply.

About Technology

Technology enables every aspect of Macquarie, for our people, our customers and our communities. We’re a global team that is passionate about accelerating the digital enterprise, connecting people and data, building platforms and applications and designing tomorrow’s technology solutions.

Our commitment to diversity, equity and inclusion

We are committed to fostering a diverse, equitable and inclusive workplace. We encourage people from all backgrounds to apply and welcome all identities, including race, ethnicity, cultural identity, nationality, gender (including gender identity or expression), age, sexual orientation, marital or partnership status, parental, caregiving or family status, neurodiversity, religion or belief, disability, or socio-economic background. We welcome further discussions on how you can feel included and belong at Macquarie as you progress through our recruitment process.

Our aim is to provide reasonable adjustments to individuals who may need support during the recruitment process and through working arrangements. If you require additional assistance, please let us know in the application process.
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