Sr. Lead Data Engineer

6 dni temu


Warszawa, Polska Semantive Pełny etat
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. Today's digital and technological revolution is an important part of our business - we are not only adapting to it, but also taking an active part in creating and supporting companies in overcoming the associated challenges.‍
We are 45+ people, with high seniority, and we specialize in solutions that help our clients in digital transformation. Our mission is to 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.
We are seeking a talented Lead/Senior Data Engineer eager to join us on this mission.

Lead/Senior Data Engineer

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
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 (on-prem and offshore)
Support continuous improvement by investigating and presenting alternatives to processes and technologies to an architectural review board
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
~ Python (pandas, PySpark, NumPy)
~ SQL (T-SQL, Spark SQL)
~ Fully remote working model

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