Job Title:
AssociateWork Type:
PermanentLocation:
DLF Phase 3, Sector 24 GurugramIt’s more than a career at NAB. It’s about more meaningful work, more global opportunities and more innovation beyond boundaries .
Your job is just one part of your life. When you bring your ideas, energy, and hunger for growth, you’ll be recognised and rewarded for your contribution in return. You’ll have our support to excel for our customers, deliver positive change for our communities and grow your career.
NAB has established NAB Innovation Centre India as a centre for operations and technology excellence to support NAB deliver faster, better, and more personalized experience to customers and colleagues.
At NAB India, we’re ramping-up and growing at a very fast pace. Our passionate leaders recruit and develop high performing people, empowering them to deliver exceptional outcomes to make a positive difference in the lives of our customers and our communities.
Your New Role- Build and optimize distributed Spark workloads.
- Build and optimize DBT models, tests, macros, and documentation for transformation layers.
- Develop high-performance PostgreSQL data models and queries.
- Implement data ingestion pipelines using Lambda, Airflow and PySpark.
- Build and maintain Java/Spring Boot microservices/APIs.
- Ensure data reliability through AWS-native monitoring tools such as CloudWatch, CloudTrail, and EventBridge.
- Implement orchestration and workflow automation using Airflow.
- Collaborate with analysts, data scientists, and product teams to translate requirements into scalable AWS data solutions.
- Apply data security best practices (IAM roles, KMS encryption, VPC networking).
- Provide technical leadership and mentor junior engineers.
- 1+ years of experience in Data Engineering or related roles.
- Expert-level Python programming (OOP, async, packaging, testing).
- Hands-on experience building and managing DBT models, tests, documentation, and CI/CD integration.
- Strong hands-on PySpark experience.
- Deep expertise in PostgreSQL (query tuning, indexing).
- Proven experience with AWS data services, S3, Lambda and IAM, KMS, CloudWatch, EC2
- Solid understanding of distributed systems and large-scale data architecture.
- Experience with orchestration tools (Airflow, or ADF/AWS-native schedulers).
- Strong knowledge of CI/CD practices for data pipelines (Harness, Jenkins).
- Experience with containerization (Docker) and serverless-based solutions.
A diverse and inclusive workplace works better for everyone:
Our goal is to foster a culture that fills us with pride, rooted in trust and respect. NAB is committed to creating a positive and supportive environment where everyone is encouraged to embrace their true, authentic selves. A diverse and inclusive workplace where our differences are celebrated, and our contributions are valued. It’s a huge part of what makes NAB such a special place to be.
More focus on you:
We’re committed to delivering a positive experience for our colleagues and a workplace you can be proud of. We support our colleagues to balance their careers and personal life through flexible working arrangements such as hybrid working and job sharing and competitive financial and lifestyle benefits. We invest in our colleagues through world class development programs (Distinctive Leadership and Career Qualified in Banking), and empower you to learn, grow and pursue exciting career opportunities
Join NAB India:
This is your chance to join NAB India and along with your experience and expertise to help shape an innovation driven organisation that focuses on making a positive impact in the lives of its customers, colleagues and communities
To know more about us please click here
To know more about NAB Global Innovation Centres please click here
We’re on LinkedIn: NAB Innovation Centre India
Skills Required
- 1+ years of experience in Data Engineering or related roles
- Expert-level Python programming (OOP, async, packaging, testing)
- Hands-on experience building and managing dbt models, tests, documentation, and CI/CD integration
- Strong hands-on PySpark experience
- Deep expertise in PostgreSQL (query tuning, indexing)
- Proven experience with AWS data services (S3, Lambda, IAM, KMS, CloudWatch, CloudTrail, EventBridge, EC2)
- Solid understanding of distributed systems and large-scale data architecture
- Experience with orchestration tools (Airflow, ADF or AWS-native schedulers)
- Strong knowledge of CI/CD practices for data pipelines (Harness, Jenkins)
- Experience with containerization (Docker) and serverless-based solutions
- Ability to provide technical leadership and mentor junior engineers
What We Do
We're here to be the most customer-centric company in Australian and New Zealand. We’re focused on what matters most and here to support you with your banking needs in any way we can. We’re open for business. Connect with us: www.nab.com.au/contact-us
