Your new role – challenging and future-oriented
- Create and maintain optimal data pipeline architecture.
- Assemble large, complex data sets that meet functional/non-functional use-cases requirements
- Build the infrastructure and procedures required for optimal Extraction, Transformation, and Loading (ETL) of data from a wide variety of data sources.
- Build the data pipelines that support the data analytics aiming to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.
- Work alongside Data Scientists to productionalize advanced computer science algorithms based on statistical and machine learning models.
- Work with stakeholders including the Executive, Sales, and Data Science teams to assist with data-related technical issues and support their data infrastructure needs.
- Keep our data access compliant with GDPR regulations within the company boundaries and the AWS data center.
- Design and implement data access restriction policies for the different stakeholders and company functions.
- Identify, design, and implement optimal data processing technologies and tools to strive for greater data lab functionality.
Your profile
- A Graduate degree in Computer Science, Informatics, Information Systems or equivalent quantitative field.
- Advanced working SQL knowledge and experience working with and designing relational databases, optimized query authoring, as well as working familiarity with a variety of databases.
- Experience building and optimizing data pipelines, architectures and data sets.
- Ability to build processes supporting data transformation and cleaning, data structures, metadata, dependency and workload management.
- A successful history of manipulating, processing and extracting value from large disconnected datasets.
- Ability to assist in documenting requirements, as well as resolve conflicts or ambiguities.
- Strong analytic skills related to working with heterogeneous datasets.
- Experience supporting and working with cross-functional teams in a dynamic environment.
- Strong project management and organizational skills.