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Ippon Technologies

IT consulting and cloud modernization partner

Senior Data Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timeMelbourne VIC, AustraliaNo salary listedHybrid

About the Job

Requirements

  • Exposure to or experience in large-scale data transformation.
  • Experience designing and delivering high-quality data-processing pipelines.
  • Experience working with enterprise data warehouses and closely integrated systems that provide or consume data.
  • Experience with dbt and extract, transform, load (ETL).
  • Knowledge of and exposure to big data technologies and cloud big data warehouses such as Amazon Redshift and Snowflake.
  • Experience in data engineering or business intelligence/software development, including extract, load, transform (ELT)/ETL, and data extraction and manipulation in data lake/data warehouse environments.
  • Experience with SQL, Python, and open-source data tooling such as Apache Kafka and Apache Spark.
  • Extensive experience with Databricks, including Apache Spark, SQL, and data lakes.

Responsibilities

  • Support and/or drive the design, build, testing, and implementation of data transformations and data pipelines using various tools and technologies.
  • Gather business requirements by engaging in data sourcing, data gathering, and integration processes.
  • Develop data pipelines using big data technologies.

Desired Qualifications

  • Experience in data engineering, business intelligence/software development, ELT/ETL, and data extraction and manipulation in data lake/data warehouse environments is preferred.
  • Experience in data modelling, analysis, and profiling is preferred.

About the Company

Ippon Technologies

IT consulting and cloud modernization partner

Ippon Technologies is a B2B technology partner that guides organizations through digital transformation, offering consulting and execution services across cloud strategy and migration, data and analytics, AI, software engineering, and platform modernization. It works end-to-end from strategy to implementation, including AWS Migration Acceleration Program-based cloud migration, data analytics to improve decision-making, AI for experimentation and deployment, and operating-model modernization. The company differentiates itself through a disciplined, results-driven approach inspired by its founder’s judo background and by its status as an AWS Advanced Partner with open-source contributions like JHipster. Its goal is to help clients modernize technology stacks, accelerate time-to-value for digital initiatives, and scale their capabilities in sectors such as banking, insurance, and capital markets, especially in the US.

Company size
501-1,000
Company stage
Late Stage VC
Total funding
$550K
Headquarters
Paris, France
Founded
2002

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