Job Description

- AWS SageMaker Unified Studio Expertise:

- - Proficiency with AWS SageMaker Unified Studio, including its various components Discover, Build and Govern.

- - Experience with development in Sagemaker IDE and Application (Jupyterlab, Spaces and Partner AI Apps).

- - Data Analysis and Integrations ( Query Editor, Visual ETL Jobs and Data Processing jobs)

- - Orchestration of workflows and ML Pipelines

- - Understanding and expertise to work with ML and Gen AI tools available in unified studio are ad-on values.

- - Setting up projects and data governance in SageMaker Unified studio

- Advanced Data Ingestion & Processing (Real-time & Batch):

- - Framework Development: Proven ability to design, develop, and implement highly reusable and adaptable data ingestion frameworks capable of handling diverse source types (e.g., databases, APIs, message queues, file systems).

- - Low-Latency Real-time: Deep expertise in building real-time data pipelines with stringent sub-second latency requirements, utilising services like AWS Kinesis (Data Streams/Firehose), Apache Kafka, or similar streaming technologies.

- - Batch Processing: Experience with robust batch ingestion patterns and tools (e.g., AWS Glue, Apache Spark) for efficient processing of larger datasets.

- - Data Transformation: Stron g skills in designing and implementing efficient data transformation logic for both streaming and batch data.





- Programming and Scripting:

- - Advanced proficiency in Python, particularly for developing scalable data ingestion and export frameworks, API integration, and extensive use of the AWS SDK (Boto3).

- - Experience with performance optimisation techniques for Python applications in data-intensive environments.

- - Familiarity with other relevant languages (e.g., Scala, Spark) for high-performance streaming applications is beneficial.

- AWS Services for Data and Infrastructure:

- - In-depth knowledge of core AWS services: Lambda, S3, DynamoDB, CloudWatch, SQS, SNS, and API Gateway.

- - Robust understanding of AWS networking (VPC, security groups, private endpoints) and IAM for secure, fine-grained access control.

Key Skillset:

- Previous experience in developing framework for batch and real time data ingestions in relation and no-sql databases or filesystems.

- Previous experience in Real time data ingestion with low latency with experience on AWS Kinesis Stream, Apache Kafka or similar streaming technologies

- Proven experience in various database technologies (e.g. Oracle, Teradata, MongoDB, Snowflake etc)

- Sound knowledge and experience in building Data Warehouses and Data Lakehouses.

- Data Modeling experience is a plus point

Location

Sydney

Job Function

TECHNOLOGY

Role

Engineer

Job Id

422253

Desired Skills

AWS | Python | Apache

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