Job description

Data Engineers implement methods to improve data reliability and quality. They combine raw information from different sources to create consistent and machine-readable formats. They also develop and test architectures that enable data extraction and transformation for predictive or prescriptive modeling, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies. 

They put architecture models into production and build the infrastructure required for optimal extraction, and transformation. Choosing optimal solutions to use for collection, storing, processing, and analyzing huge sets of data, then maintaining, implementing, and monitoring them. The DD is also responsible for integrating them with the architecture used across the company.

Key responsibilities

• Work with stakeholder teams to assist with data-related technical issues and support their data infrastructure needs
• Evaluate business needs and objectives
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Recommend ways to improve data reliability, efficiency and quality
• Remaining up to date with industry standards and technological advancements that will improve the quality of your outputs

Requirements

• University degree in Computer Engineering, Informatics or a related field
• AWS solutions development and implementation experience
• Experience with big data tools: Hadoop, Spark, Kafka, etc. is a plus
• Advanced working SQL knowledge and experience working with relational or analytical databases, query authoring (SQL) as well as working familiarity with a variety of databases
• Knowledge of stored procedure writing, query optimization, and indexes
• Knowledge of query troubleshooting and query execution optimization
• Investigating data sources, understanding and documenting data behavior
• Modeling and designing DWH/Data Lake
• Designing and developing a different kinds of reports such as analysis reports, ad hoc and standard reports

What we offer

• Full-time employment
• Working from home possibility
• Private health insurance
• Monthly Gym membership
• Access to education and professional improvement
• Working with great people in a culture that supports both autonomy and collaboration
• Office perks: great location, modern equipment unlimited coffee & tea, fruits, spacious lounge area
• Team building activities
• Competitive compensation package