Role

Responsibilities

• Identify valuable data sources and automate data collection processes and undertake preprocessing of structured and unstructured data.
• Setup analytical infrastructure to facilitate exploration and visualization of datasets.
• Discover opportunities for data acquisition and develop data set processes for data modeling, mining, and production.
• Drive delivery of efficient data engineering standards, templates, patterns, and best practices by effectively using agile process methodology to define work, estimate effort, and measure results.
• Develop and implement data design methods, data structures, and modeling standards which work with multiple business intelligence tools.
• Work with Business Intelligence Team, data scientists team as well as other teams and meet their requirements.

Requirements

• Demonstrated experience of driving meaningful business outcomes through data engineering (most important; we love to have a short report of that!).
• Bachelor’s degree or higher in Computer Science, Computer Engineering, Statistics, or a related field (third-year students and above are also welcome). Relevant experience or personal projects will be considered if a degree is not available (see the previous criteria).
• 2+ years of experience in the data engineering field (including education and personal projects).
• Highly Proficient in SQL and a scripting language like Python and Hands-on experience with at least one RDBMS (MySQL)
• Familiar with data processing tools such as Hadoop and Kafka
• Familiar with orchestration tools such as Airflow
• Experience designing and developing ETL and ELT pipelines with relational and non-relational data.
• Experience designing and implementing data quality checks and validation processes
• Excellent communication skills (medium+ English), with the ability to present and propose ideas and requirements without direct supervision.
• Ability to work and utilize data/code/system version control methods and proper documentation is a must.
• Agile working methods and open feedback culture (be initiativ

• Familiarity with container management and deployment tools such as Docker, and CI/CD process is a plus.
• Experience with visualization and dash boarding platforms like Grafana, Kibana, PowerBI, Quicksight is a plus.