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Cloud Transformation Leader

2 tygodni temu

Warszawa, Polska SEMANTIVE CLOUD sp. z o.o. Pełny etat
Job Description

We are seeking a talented Lead/Senior Data Engineer to join our team at SEMANTIVE CLOUD sp. z o.o.

About Us

We are an independent multi-cloud services company that helps enterprises and SMB companies build new foundations for future growth through successful cloud transformation and breadth of expertise in applying cloud technologies to unlock new possibilities.

Our Mission

We support customers at various stages of their cloud journey, from initial migration and cloud-native modernization to building platforms and scaling Infrastructure as Code processes for multiple development teams.

Role Overview

The Lead/Senior Data Engineer will be responsible for leading the development and maintenance of data pipelines, ETL/ELT processes, and data workflows across our Azure-based analytics platform.

Main Responsibilities
  • Lead the development and maintenance of data pipelines, ETL/ELT processes, and data workflows across our Azure-based analytics platform
  • Mentor and provide technical leadership to a team of data engineers while establishing best practices, coding standards, and architectural patterns
  • Design and implement scalable data integration solutions for real-time and batch processing scenarios
  • Collaborate with data architects, scientists and analytics engineers to optimize data delivery, storage solutions, and computational resources
  • Partner with business stakeholders to gather requirements and translate them into technical specifications and process documentation for IT counterparts
  • Support continuous improvement by investigating and presenting alternatives to processes and technologies to an architectural review board
  • Develop and ensure adherence to published system architectural decisions and development standards
Requirements

To succeed in this role, you will need:

  • 7+ years of experience in data engineering, with at least 3 years in team leadership
  • Highly proficient in Databricks, and/or Snowflake
  • Strong experience with Azure data stack
  • Bachelor's degree in Computer Science, MIS or related field (industry experience substitutable)
  • Expert level in data lakehouse, data warehouse design/architecture, dimensional data modeling and ETL process development
  • Strong programming skills in: Python (pandas, PySpark, NumPy) and SQL (T-SQL, Spark SQL)
  • Experience with DBT, Delta Parquer, Orchestration tools (dagster, prefect, airflow, argo)
What We Offer
  • Fully remote working model
  • Consulting mindset
  • Knowledge-sharing sessions, Lightning Talks
  • Employee referral program