Data Engineer

Shippit | Jakarta | ID

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  • Work with the Engineering Manager and other Data Engineers/Data Analysts to drive opportunities to take advantage of the data platform.
  • Engineer and build effective, efficient, and sustainable data pipelines in cloud-based technologies.
  • Identify and solve big data, throughput, streaming, and batch processing challenges.
  • Identify, design, and implement internal process improvements: automating manual processes, optimising data delivery, and redesigning infrastructure for greater scalability.
  • Work collaboratively with your team to ensure you are always using the best tech for the problem you are solving.
  • Design and implement patterns for data flow across the business.
  • Ensure data security and risk management across Shippit.
  • Interact with AWS, Snowflake, dbt, Python, TypeScript, and Kafka to positively impact
  • Bring software engineering expertise combined with a data perspective to the team.
  • Collaborate with squads to maximise the use of the data they produce
  • Minimum Qualifications: At least 2-5 years of experience in a data engineering or technically oriented data role.
  • Strong background in Computer Science, Informatics, Information Systems, or another quantitative field.
  • Experience in developing, deploying, and operating scalable data pipelines.
  • Excellent collaboration and communication skills to work effectively within a cross-functional team, including an excellent understanding of English.
  • Proficient in analysing large-scale data sets using a range of cloud-based technologies.
  • Broad understanding of the data engineering lifecycle from ETL/ELT, pipeline build, and data visualisation.
  • Familiarity with NoSQL-based technologies.
  • Knowledge of Kafka and Kubernetes with a strong approach to Data Engineering.
  • Hands-on experience with Terraform or Infrastructure as a Code.
  • Enjoy analysing complex problems to find simple solutions.
  • Prior experience utilising open-source solutions for data loading and transformation.
  • A sense of responsibility for the customer you serve: Product and Analytics teams.
From humble beginnings in 2014 working with a handful of fashion and homeware boutiques in Sydneys Surry Hills, Shippits multi-carrier allocation technology brings together retailers, carriers, and customers to power the retail industry forward. As the industrys best-connected shipping software, our expert shipping services take care of shipping and delivery; order and fulfilment; and post-purchase experiences with Australias leading carriers and partners under our belt. To support a sustainable future, we work with internationally recognised carbon solutions providers to reduce our climate impact. We do this by offsetting carbon emissions for every delivery booked on our platform through our exclusive delivery rates. Were honoured to be recognised for our smart multi-carrier allocation technology by our industry peers. A very special thank you to our customers, partners, team and everyone who has helped us get to where we are! • 2023 Australias Top 100 Young Entrepreneurs - Winner • 2023 AFR Best Place to Work - Winner • 2022 Australian Young Entrepreneur Digital Disruptor - Winner • 2022 AFR - Fast 100 • 2022 Ranked #23 on the AFR Fast 100 List • 2021 NORA Solution Partner Awards for the Best Fulfilment Technology - Winner • 2021 VIP Awards for Sustainability Champion of the Year - Finalist • 2021 VIP Awards for Best Omnichannel Solution - Winner Shippit acquired Indonesian based Luwjistik in 2022 to enhance its cross-border logistics capabilities, which enabled Shippit to offer more seamless and efficient international shipping solutions, providing a better experience for customers and expanding its reach in the global market.

Information :

  • Company : Shippit
  • Position : Data Engineer
  • Location : Jakarta
  • Country : ID

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Post Date : 2025-03-08