Cloud Data Engineer

6 days ago

Sydney, New South Wales, Australia Recmatrix Consulting Full time $120,000 - $180,000 per year

Job Title:
Cloud Data Engineer (AWS, Snowflake & Redshift)

Location:
Sydney/Melbourne

Job Type:
Contract/fulltime

About the Role:

We are seeking a highly skilled
Senior Cloud Data Engineer
to join our client's team. In this role, you will work with cutting-edge cloud technologies to design and implement high-performance data management solutions. You will collaborate closely with customers to build scalable data architectures using AWS and Snowflake, ensuring seamless integration and optimal performance.

Primary Skills:

  • AWS (S3, Redshift, Glue, Kinesis, Athena, EMR, RDS, EC2, DynamoDB, ElastiCache, etc.)
  • Snowflake (Snowpipe, SnowSQL, Data Loading)
  • DBT (Data Build Tool)

Secondary Skills:

  • Teradata (SQL, TPT, MLOAD, FASTEXPORT)
  • DataStage
  • Big Data (Hadoop, Cloudera)

Key Responsibilities:

  • Architecting Scalable Solutions:
    Collaborate with customers to understand their requirements and design cloud-based data architectures on AWS and Snowflake that operate at large scale with high performance.
  • Snowflake Data Management:
    Develop and monitor
    Snowpipes
    for continuous data ingestion and perform data loading into Snowflake tables using
    SnowSQL
    (CLI).
  • Data Platform Implementation:
    Work with AWS services like
    EMR, Redshift, Kinesis, Athena, Glue, Lake Formation, S3, RDS
    to build and manage data platforms.
  • Security & Compliance:
    Ensure the security of cloud-based solutions, including the use of
    KMS keys
    for EMR clusters, and meet compliance standards.
  • Collaboration:
    Work with customers to advise on best practices and help transition data systems to production. Assist with troubleshooting and optimization.
  • Automation & DevOps:
    Automate deployment and infrastructure using
    CloudFormation
    and other DevOps practices. Familiarity with containerization and serverless computing is a plus.
  • Best Practices & Knowledge Sharing:
    Contribute to the AWS solution architect community by sharing learnings, reference architectures, and best practices.

Basic Qualifications:

  • Education:
    Technical degrees in
    Computer Science
    ,
    Software Engineering
    , or
    Mathematics
    .
  • Experience:
    5+ years of experience in Data Engineering and hands-on experience with
    Snowflake
    and
    AWS Services
    (e.g.,
    S3, Glue, Redshift
    ).
  • Snowflake Expertise:
    Strong understanding of
    Snowflake architecture
    and performance optimization.
  • Teradata/DataStage:
    Understanding of
    Teradata
    or
    DataStage
    architecture and experience with tools like
    TPT, MLOAD
    , and
    BTEQ
    scripting.
  • Data Engineering Skills:
    Solid experience in
    data modelling
    ,
    ETL processes
    , and
    data warehousing
    .
  • Security & Compliance:
    Knowledge of
    cloud security
    and
    compliance
    requirements.
  • Methodologies:
    Familiarity with
    Agile development
    and
    version control systems
    .
  • Communication & Leadership:
    Strong interpersonal, communication, and leadership skills.
  • Certifications:
    AWS Certified Data Analytics – Specialty (preferred).
  • Cloud & Migration Experience:
    Background in
    cloud and data engineering
    , with a focus on
    data migration
    .

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