
Data Engineering Professional
5 days ago
At TN Sweden, we're revolutionizing workplaces with our unique technology. Our platform collects and visualizes real-time data to describe employee experiences of leadership, meaningfulness, control, and joy at work.
About the RoleThis Data Engineer position plays a crucial part in ensuring our data generates actionable results for business stakeholders. You'll work closely with internal teams to maintain data, create tools, and improve processes within your area.
- Create and maintain optimal data pipeline architecture
- Assemble large, complex data sets that meet functional/non-functional business requirements
- Identify, design, and implement internal process improvements; automating manual processes, optimizing data delivery, and re-designing infrastructure for greater scalability
- Build the infrastructure required for optimal extraction, transformation, and loading of data from various data sources using SQL and DataBricks 'big data' technologies
- Build analytics tools that utilize the data pipeline to provide insights into customer acquisition, operational efficiency, and key business performance metrics
- Work with internal stakeholders to assist with data-related technical issues and support their data infrastructure needs
- Keep our data secured and compliant across national boundaries
- Create data tools for business and product team members to aid in building and optimizing operations and product
- Collaborate with data and analytics experts to enhance functionality in our data system
You'll work closely with our senior Data Scientist, Miroslav, who has extensive experience in academia and industry. He's dedicated to sharing his knowledge and experience to help you learn as much as possible.
Miroslav will work alongside all departments across the organization, providing guidance and support as needed.
Requirements- 4+ years of experience in a Data Engineer role
- Degree or equivalent in Computer Science, Statistics, Informatics, Information Systems, or similar
- Advanced SQL knowledge and experience working with relational databases and query authoring (SQL)
- Familiarity with big data tools like Spark, Hadoop, Kafka, etc.
- Experience with Azure Databricks, Data Factory, or similar
- Object-oriented/scripting languages like Python, R, or similar
We offer a fun and evolving opportunity to learn and impact both professionally and personally. Our colleagues are committed to teamwork and learning, and we value diversity and inclusion.
We strive to make a positive impact together and share happiness every day.
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