Senior AWS Data Engineer

Yesterday

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IT Consultancy • Continuous Delivery • Offshore Services • Deployment Automation • Digital Transformation

5001 - 10000 employees

🏢 Enterprise

🤖 Artificial Intelligence

☁️ SaaS

Description

• responsible for at-scale infrastructure design, build and deployment with a focus on distributed systems • building and maintaining architecture patterns for data processing, workflow definitions, and system to system integrations using Big Data and Cloud technologies • evaluating and translating technical design to workable technical solutions/code and technical specifications at par with industry standards • driving creation of re-usable artifacts • establishing scalable, efficient, automated processes for data analysis, data model development, validation, and implementation • working closely with analysts/data scientists to understand impact to the downstream data models • writing efficient and well-organized software to ship products in an iterative, continual release environment • contributing and promoting good software engineering practices across the team • communicating clearly and effectively to technical and non-technical audiences • defining data retention policies • monitoring performance and advising any necessary infrastructure changes

Requirements

• available to start immediately • readiness to work with the US Timezone (up to 9PM CET) • 5+ years’ experience as a data engineer • 2+ years’ experience with AWS • strong SQL skills • Python scripting proficiency • hands-on experience in building data processing pipelines • experience in structuring and modelling data in both relational and non-relational forms • strong expertise in cloud data platforms/warehouses like Databricks or Snowflake • extensive experience in big data engineering on a terabyte scale, including streaming technologies and near-real-time processing • experience working with VCS like Git • excellent command of oral and written English • ability to work with different stakeholders and drive consensus within the team • good verbal and written communication skills in English