Executive Data Engineer

Macquarie Bank Limited

Gurugram District

On-site

INR 900,000 - 1,300,000

Full time

4 days ago
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Benefits offered by this job

Wellbeing leave
Maternity/Parental leave
Childcare support
Volunteer leave
Medical & life insurance
Flexible work arrangement

Job summary

Macquarie Bank Limited in Gurgaon invites you to join a dynamic team building scalable data pipelines and liquidity calculations for critical business processes. You will work in an agile squad, contribute to data services, automate testing, and ensure high-quality code in a DevOps environment.

The role suits engineers with 2–6 years of experience in Spark, Python, Hive, SQL, and cloud platforms, eager to improve data platforms and collaborate across teams.

Qualifications

  • 2–6 years of experience in big data technologies (Spark, Python, Hive, SQL).
  • Experience with ETL tools and data modeling.
  • Cloud experience in AWS/GCP/Azure, preferably AWS.
  • Knowledge of Docker/Kubernetes and DevOps practices.
  • Familiarity with data security, testing, and code reviews.

Responsibilities

  • Build and maintain data services and pipelines.
  • Develop, test, and support data assets in a DevOps environment.
  • Automate testing and delivery; optimise infrastructure.
  • Participate in code reviews and resolve technical issues.

Job description

Join our team and you will have an opportunity to collaborate with a talented team of business and technology professionals in building and enhancing an innovative data platform. Working within an agile squad, this role will help in delivering data pipelines and liquidity calculations that underpin critical business processes, while helping ensure the platform remains robust, scalable, and dependable.

We are a global financial services group operating in 30 markets with 57 years of unbroken profitability. At Macquarie, you’re empowered to shape a career that is fulfilling and creates value. You will bring your insights and expertise to the task at hand and feel supported as you make your own kind of impact for a better future.

What role will you play?

In this role, you will use your data engineering and big data skills to build and maintain data services and pipelines with industry best practices. Working in a DevOps environment, you will develop, test, and support data assets, automate testing and delivery, infrastructure optimisation, and help maintain code quality and security standards. You’ll participate in code reviews, and various team activities, while collaborating to resolve technical issues and support process improvements

What you offer
  • 2-6 Years of Experience in big data technologies, specifically Spark, Python, Hive, SQL, Presto (or other query engines), big data storage formats (e.g., Parquet, Avro or Any), orchestration tools (e.g., Apache Airflow, Control M) and version control (e.g. Bitbucket).
  • Proficiency in developing configuration-based ETL pipelines and user-interface driven tools to optimize data processes and calculations (e.g., Dataiku, Inhouse ETL tool, or any ETL tool experience).
  • Experience in analysing business requirements, solution design, including the design of data models, data pipelines, and calculations, as well as presenting solution options and recommendations.
  • Experience working in Any cloud environments AWS,GCP,Azure(preferably AWS), with a solid understanding of core cloud concepts and services (e.g., EC2, S3), as well as Linux and containerization technologies (such as Docker and Kubernetes).
  • Exposure to AI-enabled tools, platforms, or solutions that can help automate operational processes, improve engineering productivity, and enhance day-to-day ways of working.
  • 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.

What we offer

At Macquarie, you’re empowered to shape a career that’s rewarding in all the ways that matter most to you. Macquarie employees can access a wide range of benefits which, depending on eligibility criteria, include:

  • 1 wellbeing leave day per year
  • 26 weeks’ paid maternity leave or 20 weeks’ paid parental leave for primary caregivers along with 12 days of paid transition leave upon return to work and 6 weeks’ paid leave for secondary caregivers
  • Company-subsidised childcare services
  • 2 days of paid volunteer leave and donation matching
  • Benefits to support your physical, mental and financial wellbeing including comprehensive medical and life insurance cover, the option to join parental medical insurance plan and virtual medical consultations extended to family members
  • Access to our Employee Assistance Program, a robust behavioural health network with counselling and coaching services
  • Access to a wide range of learning and development opportunities, including reimbursement for professional membership or subscription
  • Hybrid and flexible working arrangements, dependent on role
  • Reimbursement for work from home equipment
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.

Inclusion at Macquarie

We are committed to providing an inclusive environment for all, where different experiences, skills and perspectives are valued and respected. Macquarie provides access to opportunities for all individuals regardless of race, colour, religion, sex, sexual orientation, national origin, age, disability, protected veteran status, genetic information, marital status, gender identity or any other characteristic or circumstance.
We provide reasonable adjustments to individuals who may need support during the recruitment process and employment. If you require an adjustment, please let us know during the application process.

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