Chief Data Architect

7 days ago

Sydney, New South Wales, Australia beBeeData Full time
Senior Data Engineer Role Overview

This role is a dynamic, hands-on opportunity to build real-time data pipelines and implement data mesh architectures to enhance client data interactions.


The Senior Data Engineer at our company is responsible for developing and optimising high-performance, batch and real-time data pipelines employing advanced streaming technologies like Kafka, and Flink. Utilise workflow orchestration tools such as Dataflow and Airflow to deliver tangible business outcomes across various environments.


We are seeking an experienced Senior Data Engineer with a strong background in SQL, Spark, and familiarity with platforms such as Databricks and Snowflake. Well-versed in various storage technologies including AWS S3, Google Cloud BigQuery, Cassandra, MongoDB, Neo4J, and HDFS. Adept in pipeline orchestration tools like AWS Glue, Apache Airflow, and dbt, as well as streaming technologies like Kafka, AWS Kinesis, Google Cloud Pub/Sub, and Azure Event Hubs.


Key Responsibilities:

  • Developing Data Solutions: Implement and enhance data-driven solutions integrating with clients' systems using state-of-the-art tools.
  • Data Pipeline Development: Develop and optimise high-performance, batch and real-time data pipelines employing advanced streaming technologies.
  • Database and Storage Optimisation: Optimize and manage a broad array of database technologies.
  • Big Data Processing & Analytics: Utilise big data frameworks such as Apache Spark and Apache Flink to address challenges associated with large-scale data processing and analysis.
  • Cloud Data Management: Implement and oversee cloud-specific data services including AWS Redshift, S3, Google BigQuery, and Google Cloud Storage.
  • Security and Compliance: Ensure all data practices comply with security policies and regulations, embedding security by design in the data infrastructure.

Requirements:

  • Professional Experience: At least 5+ years of data engineering or equivalent experience in a commercial, enterprise, or start-up environment.
  • Educational Background: Degree or equivalent experience in computer science or a related field.

Benefits:

  • Competitive salary and benefits package.
  • Opportunities for professional growth and development.
  • Collaborative and dynamic work environment.

Others:

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