Big Data Engineer

1 week ago


Sydney, Australia Clarrow Full time

Clarrow are currently assisting a big four bank in sourcing a Big Data Engineer with a specialisation in Airflow. Our client has kick start a Data Transformation and the long term plan for the program of work, is to build the bank the most innovative Platform possible.

**Your New Role**:
As a Data Engineer, you will joining a high performing Data Engineering team, developing cutting-edge apps. This specific team are pioneering the industry standard and they are searching for, high performing, likeminded and innovative engineers to achieve the very best results.

If you are an engineer who has a strong AWS, Airflow and python background, this will be the perfect role for you. Whether you are a mid-level or Senior or Advance Senior we would love to hear from you, as there are multiple levelled roles in this team, however the key experience you MUST HAVE is Airflow.

**Key Selection Criteria**:

- Strong experience with Airflow (Data Pipelines)
- Data warehousing with Information management
- Data modelling experience
- AWS - any or all of EC2, S3, EBS, ELB, RDS, Dynamo DB, EMR
- Linux/Unix skills
- SQL - complex queries and DDL
- Hive, Spark, Presto
- Apache Oozie, LUIGI or Airflow
- Understanding of a DevOps environment
- Good Level of programming (Scala or Java or Python) in conjunction with Big data technologies like Spark

**Desirable**:

- Experience working in environments with Docker, Kubernetes, Openshift
- Understanding or knowledge of machine learning (E.g. Spark ML or R)
- Streaming skills - using Kafka, Spark streaming or other technologies
- Build tools like Maven, Gradle, Ant

**Benefits**:

- Highly competitive salary & contract rates
- Flexible work arrangements
- 10 days additional to annual leave
- 16 weeks paid parental leave for primary caregivers
- 6 months service for parental leave eligibility
- Gyms Discounts
- Private health insurance
- Learning and development programs
- Permanent relocation benefits
- Salary sacrifice on a range of benefits
- Staff rates on home loans
- Financial education sessions
- Retail discounts
- Discounted rates on insurance


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