Take ownership of and optimise existing data pipelines, ensuring efficiency, reliability, and scalability
Manage and guide 1-2 mid/Senior Engineers in the Data team, setting the team direction and giving support and guidance to help enhance their own abilities and careers
Design, implement and maintain new data models, ETL processes, and data integrations
Develop and maintain data visualisations using Tableau, making complex data easily understandable for stakeholders across the organisation
Collaborate with team mates across different functions to understand their data needs and develop solutions to help them solve problems more effectively
Ensure data quality, integrity, and security across all data systems
Implement best practices for data governance, including data cataloging, metadata management, and data provenance tracking
Stay current with emerging technologies and methodologies in the data engineering field, and propose innovations to improve our data infrastructure
Work closely with the engineering team to produce insights from
Own the documentation and knowledge sharing around data processes, insights and ownership
Requirements
Extensive experience in data engineering, with a proven track record of building and maintaining large-scale data systems
Strong proficiency with AWS Redshift and other cloud-based data warehouse solutions
Expert-level SQL skills and experience with data modeling techniques
Proficiency in data visualization tools, particularly Tableau
Experience with ETL tools and processes
Knowledge of data governance principles and best practices
Strong communication skills, with the ability to explain complex data concepts to non-technical stakeholders
A passion for continuous learning and staying up-to-date with the latest trends in data engineering and analytics
Bonus Skills
Experience with cloud providers such as AWS and Azure, particularly their data services
Familiarity with event-driven architectures and how they impact data pipelines
Familiarity with data streaming technologies such as Apache Kafka or AWS Kinesis
Experience implementing and assessing process or technical improvements for data monitoring, testing, and release management
Knowledge of machine learning and AI technologies and their application in data engineering
Skills
Apache
AWS
Azure
Data Pipelines
Functions
Engineering
Job Overview
Job Type:
Hybrid
Company
ScreenCloud
4 active jobs
Industry:
Technology
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