Highly Skilled Data Leader Wanted

1 week ago


Sydney, New South Wales, Australia beBeeDataDirector Full time $140,000 - $160,000

Data Leadership Role

We seek a seasoned Data Director to lead our data engineering efforts at an innovative tech firm. As a key team member, you will be responsible for designing and building bespoke data platforms, creating intelligent systems, and transforming data into actionable insights.

The Role:

This is a dynamic role focused on building real-time data pipelines and implementing data mesh architectures to enhance client interactions. You will leverage deep technical expertise in modern data engineering methods with a consulting approach, enabling clients to manage and utilise their data effectively.

Key Responsibilities:

  • Developing Data Solutions: Implement and enhance data-driven solutions integrating with clients' systems using state-of-the-art tools like Databricks, Snowflake, Google Cloud, and AWS.
  • Data Pipeline Development: Develop and optimize high-performance, batch and real-time data pipelines employing advanced streaming technologies like Kafka and Flink.
  • Database and Storage Optimisation: Optimize and manage various database technologies, from traditional relational databases (e.g., PostgreSQL, MySQL) to modern NoSQL solutions (e.g., MongoDB, Cassandra).
  • Big Data Processing & Analytics: Utilize 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:

  • Core Data Engineering Tools & Technologies: Demonstrates proficiency in SQL and Spark, and familiarity with platforms like Databricks and Snowflake.
  • Data Storage Expertise: Knowledgeable in data warehousing technologies like BigQuery, Snowflake, and Databricks, proficient in managing various data storage formats including Parquet, Delta, ORC, Avro, and JSON.
  • Building and Managing Large-scale Data Systems: Experienced in developing and overseeing large-scale data pipelines and data-intensive applications within production environments.
  • Data Modelling Expertise: Proficient in data modelling, understanding the implications and trade-offs of various methodologies and approaches.
  • Programming Languages: Proficient in Python and SQL, with additional experience in programming languages like Java, Scala, GoLang, and Rust considered advantageous.

About Us:

Our firm specialises in creating technology solutions at the intersection of data, AI, machine learning, data engineering, and software engineering.



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