Data Engineering Strategist
1 week ago
We are looking for an Analytics Engineer to join our Data team at Lula. The role involves implementing and maintaining data models to improve data reliability and quality. You will work on scalable data pipelines, identify bugs and performance issues, and develop architectures that enable data extraction and transformation for predictive or prescriptive modelling.
As a Data Engineer, your primary focus will be on combining raw information from different sources to create consistent and consumption-ready formats. You will need to construct and test architectures that enable data extraction and transformation. Responsibilities include leading the development and design of data architecture strategies, providing guidance and mentorship to junior data engineers, developing and maintaining relationships with stakeholders, and ensuring compliance with data privacy and security regulations.
We are looking for a self-starter with strong programming skills in Python, SQL, and/or Go. Experience with cloud-based data platforms, such as AWS, Azure, or Google Cloud, and big data technologies, such as Hadoop and Spark, is required. Familiarity with data modelling, data warehousing, and data pipeline design is a must. Excellent problem-solving skills and strong communication skills are essential for collaboration with cross-functional teams.
At Lula, we value collaborative, committed, curious, connected, and compassionate colleagues who can work towards a common goal. If you are passionate about data engineering and want to make a positive impact, please apply.
Responsibilities:
- Leading the development and design of data architecture strategies
- Providing guidance and mentorship to junior data engineers
- Developing and maintaining relationships with stakeholders
- Evaluating new technologies and tools for data processing and analysis
- Taking ownership of large-scale data engineering projects
- Ensuring compliance with data privacy and security regulations
- Collaborating with cross-functional teams to identify data-related challenges and opportunities
- Driving the adoption of best practices for data quality, reliability, and performance
- Continuously improving data pipelines and systems
Requirements:
- Bachelor's degree in computer science, mathematics, statistics, or a relevant field
- 3+ years of experience in data engineering, data warehousing, or a related field
- Strong programming skills in Python, SQL, and/or Go
- Experience with cloud-based data platforms, such as AWS, Azure, or Google Cloud
- Familiarity with data modelling, data warehousing, and data pipeline design
- Experience with big data technologies, such as Hadoop and Spark
- Strong understanding of data structures, algorithms, and software engineering principles
- Experience with DBT (Data Build Tool) and BI tools like Hex / Tableau / Looker
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