Data Engineer

2 weeks ago

bangalore, India ANZ Full time

About the role


At ANZ our purpose is to shape a world where people and communities thrive. We’re making this happen by constantly looking for ways to improve our customers’ financial wellbeing so they can achieve incredible things – be it buying their home, building a business or saving for things big or small.
As a Data Engineer, within Wholesales Digital, Institutional Data Analytics, you will be comfortable being hands-on, as well as a coach to the team. The role exists within a fast-moving insights team working on building a data-driven digital channel.
The Data Engineer will also work with senior data science management and departments beyond the Data and Analytics department in analyzing and understanding data sources, participating in the design, and providing insights and guidance on database technology and data modelling best practices.

What will your day look like

Following Agile methodology to manage and deliver data and insights product iteratively. Analyse problems and customer needs from an end-to-end perspective and come up with designs and solutions to solve these problems. Data wrangling for specific business use-cases Perform Data Profiling, Statistical Analysis and Hypothesis Testing Building scripts for large scale data processing on Hadoop with Hive, Pig, Spark (Scala) and Hue Building automated data validation and data quality measurement framework Performing exploratory data analysis.

What will you bring?

We know not everyone will bring all of the skills and experience, and at ANZ we are focused on people bringing a growth mindset to their approach to work. Some of the skills we are looking for are below, but don’t worry if you don’t have all of these as learning on the job is the way we work.
But back to some of the skills;

More than 6 years experience in full stack development with .Python on Google Cloud Platform Hands on expertise in creating and deploying cloud infrastructure with Terraform and Kubernetes Analytical and Modelling ability using Python and SQL Expertise in building ELT pipelines with Python and BigQuery Building the Monitoring and Alerting Splunk Dashboards. Maintaining and developing CI/CD pipelines based on Gitlab. Ability to program and configure toolsets like Control-M, IBM DataStage, Google Cloud Dataflow and Airflow Experience with log mining and observability tools like Splunk and Dynatrace. Understanding of event based architecture, best practices and some tools used to implement it Understanding of connect Direct and other enterprise file transfer systems Expert knowledge - Python. Understanding of data science libraries.

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