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*Data Pipeline Engineer / Lead*

Annual Salary Negotiable

Professionals - ICT Network and Support Professionals

NSW - Other Regional (Post code: 2540)

Recruiting numbers: 1

Expiration date: 04-Dec-2024

Full Time
06-Nov-2024 update visited:
Job requirements

Educational requirements: Bachelor

English requirements: Competent English

Requirements for skilled employment experience for years: 1-3 years

Required residence status: Temporary visa, Permanent resident, Citizen

Accept remote work: unacceptable

As an Pipeline Engineer you will be involved in: • Cataloging and governing the data, enabling access to trusted and compliant data at scale across the enterprise. • Ingest data from various sources such as on-premises databases or data warehouses, SaaS applications, IoT sources, and streaming applications into a cloud data lake. • Integrating the data by cleansing, enriching, and transforming it by creating zones such as a landing zone, enrichment zone and an enterprise zone. • Applying data quality rules to cleanse and manage data while making it available across the organization to support DataOps. • Preparing the data to ensure that refined and cleansed data moves to a cloud data warehouse for enabling self-service analytics and data science use cases. • Stream processing to derive insights from real-time data coming from streaming sources such as Kafka and then moving it to a cloud data warehouse for analytics consumption. We are looking for experience in the following skills: Required: • 3 years of experience in ETL development or data engineering • Ability to understand and articulate requirements to technical and non-technical audiences • Stakeholder management and communication skills, including prioritizing, problem solving and interpersonal relationship building • Demonstrated experience in deployment / processing data on any cloud ecosystem such as Amazon Web Services (AWS), Microsoft Azure, Google Cloud, and Snowflake for both batch and real-time processing • Strong SQL skills • Experience in marketing leading ETL software (e.g. Datastage, Informatica, SSIS or Talend) Desirable: • Experience in Document databases • Experience in AWS PaaS and Python, R or Scala scripting • Experience in data modelling • Excellent presentation and communication skills, both written and verbal • Ability to problem solve and architect in an environment with unclear requirements. • Experience in AWS PaaS environment and its native services such as Glue, Lambda and S3 Job Qualifications • Bachelor’s degree in IT, Computer Science, Engineering or relevant work experience. • A client-centric, outcome-driven and quality-focused team player. • Ability to work effectively independently as well as in a team environment. • Enjoy problem-solving in the different domains and industries. • Australian Citizenship would be required for some project roles to comply with security clearance requirements Qualification: • Bachelor’s degree, Computer Science, Software Engineering, or a related field • Australian Citizenship would be required for some project roles to comply with security clearance requirements
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Last online time: 19-Jan-2024 11:28
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