Cloud Data Infrastructure Specialist

7 days ago

Melbourne, Victoria, Australia InfoCentric Full time

Job Description:

InfoCentric is seeking a highly skilled Cloud Data Infrastructure Specialist to join our team. As a critical enabler in building, optimizing, and maintaining a robust data infrastructure, you will excel in designing scalable, high-performance data pipelines that are essential for effective analytics, reporting, and machine learning processes.

Key Responsibilities:

  • Design and implement large-scale data pipelines and architectures on AWS and Snowflake platforms, leveraging best practices for data security, scalability, and cost efficiency.
  • Develop ETL processes to gather data from multiple sources, ensuring data quality, integrity, and optimal performance.
  • Collaborate with data analysts and business stakeholders to understand requirements and deliver data solutions that enable advanced analytics and reporting.
  • Build and manage data warehouses and data marts on Snowflake, optimizing data structures and storage to enhance accessibility and efficiency.
  • Perform data migrations and integration from on-premises systems or other cloud environments to AWS and Snowflake.
  • Implement and manage AWS services such as S3, Glue, Lambda, Redshift, and EMR as needed to support data workflows and pipelines.
  • Monitor and optimize data pipelines for performance, scalability, and cost efficiency.
  • Implement data governance practices, including data security, privacy, and access controls, in compliance with industry standards.

About the Role:

This is an exceptional opportunity for a seasoned Cloud Data Infrastructure Specialist to lead the development of our data infrastructure and drive business growth through data-driven insights.

Requirements:

  • Advanced Cloud Proficiency: Deep understanding of AWS services (S3, Glue, Redshift, Lambda, and EMR) and their integration to build and maintain scalable data architectures.
  • Expert Snowflake Skills: Proficiency in using Snowflake for data warehousing, with knowledge of how to optimize data storage, manage costs, and implement security best practices.
  • ETL Mastery: Ability to develop and manage complex ETL processes, ensuring data consistency, quality, and performance across multiple sources.
  • SQL and Programming Strength: Strong in SQL for complex transformations and skilled in scripting languages such as Python or Java for automation and data manipulation.
  • Data Modeling Expertise: Experienced in data modeling for structured and semi-structured data, ensuring the data architecture supports business requirements and optimizes analytical access.
  • Governance and Compliance: Familiarity with data governance frameworks, ensuring data security, privacy, and compliance in cloud environments.

Estimated Salary Range: $120,000 - $180,000 per annum

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