Senior Data Systems Developer

4 dni temu

Zielona Góra, Polska AUCTANE Poland Pełny etat

About Auctane Poland

We are a fast-paced company that believes in the power of data to fuel commerce. Our mission is to enable businesses to meet the ever-rising expectations of their customers, making the world smaller and more accessible. We achieve this by providing exceptional delivery solutions, empowering hundreds of thousands of merchants to deliver billions of products annually.

Our team of shipping and software experts is passionate about helping merchants move their ideas, dreams, and innovations around the globe. We have a diverse range of brands, including ShipStation, ShipWorks, ShipEngine, ShippingEasy, Stamps, Endicia, Metapack, GlobalPost, and Packlink, working with top partners like Amazon, UPS, USPS, eBay, BigCommerce, Shopify, WooCommerce, and Walmart.

This role offers an exciting opportunity for a Senior Data Systems Developer to join our Data Products team. You will play a key part in designing, implementing, and maintaining existing and greenfield customer-facing data products. With a focus on scalability and innovation, you will work with the latest architecture patterns and technologies to process thousands of events per second and handle massive datasets.

Key Responsibilities:

  • Contribute to the design and implementation of our data pipelines and analytics solution on top of AWS data technologies like S3, Athena, Lambda, and Kinesis.
  • Collaborate with Product Owners and stakeholders to implement the Data Products strategy.
  • Develop frameworks and solutions to acquire, process, monitor, and extract value from our massive dataset.
  • Drive the design and architecture of Auctane's data product.
  • Contribute directly to the implementation and operations of our systems.
  • Foster engineering excellence through highly reliable software and data pipelines using best practices like automation, version control, continuous integration/continuous delivery, testing, security, etc.

Requirements:

  • A strong background in Data Engineering.
  • Experience working in AWS cloud infrastructure.
  • Experience developing and supporting robust, automated, and reliable data pipelines in Python and SQL.
  • Excellent Python and SQL skills.
  • Experience with data processing frameworks like Spark, Trino (Athena), or Pandas.
  • Knowledge of Data Orchestration solutions, preferably Airflow. Knowledge of relational database design.
  • Polish and English required.

What sets us apart?

  • Production experience working with very large datasets.
  • Experience with AWS and big data cloud technologies like EMR, Athena (Trino), Glue, and EC2.
  • Direct experience with Infrastructure as Code tools (e.g., Terraform, CloudFormation).
  • Knowledge and direct experience in using business intelligence and analytics tools (Tableau, Looker, Power BI, etc.).
  • A desire to challenge the norm.
  • Proven track record of promoting and maintaining high engineering standards.
  • Fast learner with interest in evaluating and adopting new technologies (Apache Iceberg, Dagster, DBT, GreatExpectations, Prefect, Snowflake, etc.).

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