Lead Data Engineer Manager
@ Macquarie Group

Gurugram, Haryana, India
A$150,000
On Site
Full Time
Posted 24 days ago

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XXXXXXXXX XXXXXXXXXXX XXXXXX****** @macquarie.com
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Job Details

About the Role

Join a dynamic team of business and technology experts at Macquarie Group collaborating to deliver essential liquidity calculations on an innovative platform. As a Lead Data Engineer Manager, you will design, build, and maintain robust data services and pipelines with end-to-end accountability in a DevOps environment.

Key Responsibilities

  • Design and build robust data services and pipelines
  • Automate testing and delivery with high code quality
  • Lead code reviews and drive process improvements
  • Collaborate across teams while optimising infrastructure
  • Set standards through templates and implementation methods

What You Offer

8+ years in a relevant role with hands-on experience with big data technologies including Spark, Python, Hive, SQL, Presto, Parquet, Apache Airflow, and version control tools. Experience with building configuration-based ETL pipelines and tools such as Dataiku is essential. Skilled in analysing business requirements, designing data models and pipelines, and presenting solution recommendations. Cloud experience (preferably AWS) with knowledge of Linux, Docker, Kubernetes; background in finance or treasury domains is highly regarded.

Benefits and Work Environment

Macquarie Group offers benefits that include wellbeing leave, paid parental leave, childcare services, volunteer leave, comprehensive insurance plans, and extensive learning and development opportunities. Enjoy hybrid and flexible working arrangements in a diverse, equitable, and inclusive workplace.

Key skills/competency

  • Data Pipelines
  • DevOps
  • Big Data
  • Spark
  • Python
  • AWS
  • ETL
  • Code Reviews
  • Cloud
  • Finance
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How to Get Hired at Macquarie Group

🎯 Tips for Getting Hired

  • Research Macquarie Group's culture: Review mission, values, and recent news online.
  • Tailor your resume: Emphasize data engineering and DevOps experience.
  • Highlight technical expertise: Showcase Spark, Python, AWS, and big data skills.
  • Prepare for behavioral interviews: Share examples of leadership and collaboration.

📝 Interview Preparation Advice

Technical Preparation

Review Spark and Python best practices
Practice SQL, Hive, and Presto queries
Study AWS cloud services fundamentals
Understand Docker and Kubernetes basics

Behavioral Questions

Prepare leadership success stories
Showcase collaboration examples
Highlight process improvement instances
Discuss overcoming team challenges

Frequently Asked Questions