Data Engineer (Finance Data)
project44
Athens, Greece
πριν από 3 μέρες
source : Just Join IT

ETL (regular)

Data Engineer (Finance Data)

Why project44?

Our mission is to usher in a new era of trust and predictability to transportation and logistics, but there’s still a lot of work to be done.

The industry is massive, as is the opportunity. We’re looking for bright, ambitious individuals to join our growing global team and help us enable a more productive and successful world.

We’re changing the way the world ships, and we’re looking for you to help us get there!

About The Role

The Product Operations & Analytics team is a key part of project44's cross-functional product development teams, helping to drive every stage of product development through data analytic, statistical, and operational expertise.

As a Data Engineer, you'll have opportunities to work on ETL pipeline , support & solve various data integration challenges and improve core data infrastructure.

This is a newly created role to bring the best of our Product & Engineering capabilities to deliver reporting and analytics solutions for our internal stakeholders.

What You’ll Be Doing

  • Design, build and improve our ETL platform and pipelines utilizing Airflow / Argo Workflow or 3rd party tools like Fivetran and integrates with Data lake (Snowflake)
  • Ensure standards for engineering excellence, scalability, reliability, and reusability
  • Debug production issues across services and multiple levels of the stack
  • Partner with the insights and data science teams to automate processes to improve data sets for analytical and reporting needs
  • Write test cases, code coverage, perform QA and participate with stakeholders on UAT
  • You could be a great fit if you have

  • At least 2+ years experience with building data pipelines using 3rd party tools (e. g., Fivetran) or Airflow, Spark, and / or Kafka Streams
  • Good proficiency in Python, Java, or other similar languages
  • Familiarity with the architecture of event collection pipelines and analytical data stores such as Snowflake
  • Bachelor's Degree in computer science or equivalent experience
  • Technical Skills

  • Strong programming / scripting knowledge in building and maintaining ETL using Java, SQL, Python, Bash, Go.
  • In-depth hands-on knowledge of public clouds - GCP(preferred) / AWS, PostgreSQL (version 9.6+), ElasticSearch, MongoDB, MySQL / MariaDB, Snowflake
  • Participate in an on-call rotation to mitigate any data pipeline failures
  • Strong experience with Kafka or equivalent event / streaming based systems
  • Experience with Docker, Kubernetes
  • Develop and deploy CICD pipelines for Data Engineering
  • Experience and knowledge of optimizing database performance and capacity utilization to provide high availability and redundancy
  • Proficiency with high volume OLTP Databases and large data warehouse environments
  • Ability to work in a fast-paced, rapidly changing environment
  • Understanding of Agile and its implementation for Data Warehouse Development
  • Professional Skills / Competency

  • Focuses on development / improvement of framework to support repeatable and scalable solutions
  • Demonstrates excellent communication and interpersonal skills; able to communicate clearly and concisely
  • Takes initiative to recommend / develop innovative approaches to getting things done
  • Familiarity with financial systems data
  • Is a team player and encourages collaboration
  • About Project44

    Since 2014, project44 has been transforming the way one of the largest, most important global industries does business. As transportation and logistics continues to evolve and customer expectations around delivery become more demanding, industry technology must rise to the occasion.

    In just a few short years, we’ve created a digital infrastructure that eliminates the inefficiencies caused by dated technology and manual processes.

    Our Advanced Visibility Platform is used by the world’s leading brands to track shipments, collaborate with supply chain partners, drive operational efficiencies, and create outstanding customer experiences.

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