Senior Data Infrastructure Engineer

2 days ago


Remote Warsaw, Czech Republic Webinterpret Poland Sp. z o.o. Full time

About Webinterpret

At Webinterpret, we're revolutionizing e-commerce by empowering sellers to expand globally with ease. Our 16-year legacy has simplified cross-border selling with innovative tools that manage everything from AI-driven ad optimization and smart inventory syncing to handling currency fluctuations and localizing listings for different markets.

We take care of international shipping and returns, making global e-commerce as simple as selling locally.

What We Do:

  • We process 500M+ records daily in AWS (S3, EMR, Glue, Athena, Apache Hudi/Delta Lake).
  • We operate an AWS Redshift-based Data Warehouse.
  • We build and orchestrate data pipelines in Python-based tools.
  • We integrate and transform data from multiple sources (SQL/NoSQL DBs, APIs, queues, files) for internal reporting.
  • Our next major milestone focuses on self-service data solutions, data lineage, and best practices for securing sensitive data.

About the Role:

We are seeking a highly skilled Senior Data Infrastructure Engineer to join our team. In this role, you will design and develop robust data engineering practices, optimize our AWS-based Data Lake and Data Warehouse, and collaborate with stakeholders to produce meaningful, self-serve analytics.

You will play a key role in building and scaling our data infrastructure for the next phase of growth.

Your Responsibilities:

  1. Architect and maintain data pipelines using Python-based tools.
  2. Optimize our AWS-based Data Lake and Data Warehouse for scalability and performance.
  3. Collaborate with stakeholders to define data requirements and model datasets in a scalable, reusable way.
  4. Monitor pipeline performance, optimize SQL queries in Redshift, and implement best practices for data validation and testing.
  5. Connect to various data sources (Salesforce, RabbitMQ, Kafka, REST APIs, SQL databases) and handle synchronization/ingestion at scale.
  6. Leverage BI tools (e.g., Tableau, Superset, Count) to develop dashboards and reports that support data-driven decisions across the company.

Requirements:

  • AWS expertise.
  • ETL/ELT pipeline development experience.
  • Strong analytical skills.
  • Python programming skills.
  • SQL query optimization skills.
  • Git version control experience.
  • Tableau or other BI tool proficiency.

Benefits:

  • Flexible working hours.
  • Remote work option.
  • Modern office environment.
  • Startup atmosphere.
  • No dress code policy.
  • Sport subscription.
  • Training budget.
  • Private healthcare.
  • Flat structure.
  • Small teams.
  • In-house trainings.
  • In-house hack days.


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