TL;DR
Senior Data Engineer: Expanding and optimizing data and data pipeline architecture for cross-functional teams with an accent on data flow, collection, and scalability. Focus on designing and implementing internal process improvements and building infrastructure for optimal ETL from various data sources.
Location: Remote, aligned with Central European Time (CET)
Company
hirify.global is an IT services company focused on expanding and optimizing data solutions for enterprise-level applications.
What you will do
- Create and maintain optimal data and data pipeline architectures.
- Assemble large, complex data sets that meet functional and non-functional business requirements.
- Identify, design, and implement internal process improvements, including automation and infrastructure redesign for scalability.
- Build infrastructure for optimal extraction, transformation, and loading of data from a wide variety of data sources using relational and big data technologies.
- Develop analytics tools that utilize data pipelines to provide actionable insights into operational efficiency.
- Collaborate with various stakeholders to assist with data-related technical issues and support data infrastructure needs.
Requirements
- 5+ years in a Data Engineer role.
- Advanced working SQL knowledge and experience with relational databases.
- Experience building and optimizing big data pipelines, architectures, and data sets.
- Strong analytical skills related to working with unstructured datasets.
- Experience with Relational SQL and NoSQL databases, including SQL Server, Cosmos, and Mongo.
- Senior-level experience in data engineering with Snowflake, Power BI, and Azure Cloud Services.
- Experience with object-oriented/object function scripting languages like C#, PowerShell, or Python.
Nice to have
- Experience with Azure Synapse Analytics and Azure Databricks.
- Graduate degree in Computer Science, Statistics, Informatics, Information Systems, or another quantitative field.
Culture & Benefits
- Opportunity for remote work.
- Work with people at the top of their field and global IT experts.
- Opportunities for career growth.
- Collaborative learning environment.
- Working on enterprise-level applications.
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