Senior Data Engineer building robust data systems at knok, enhancing healthcare access through digital technology. Collaborating across teams to provide valuable insights and solutions.
Responsibilities
Combine raw data from multiple sources into consistent and machine-readable formats,
Design, build and maintain data systems and ETL pipelines;
Monitor, test and optimise data flows;
Analyse large datasets and uncover meaningful trends and insights;
Evaluate business needs and translate them into data solutions;
Explore ways to improve data quality, accessibility and reliability;
Develop and maintain analytical tools and reporting frameworks;
Collaborate with analysts, product managers and other stakeholders on cross-functional projects;
Monitor the cost and efficiency of data infrastructure.
Requirements
Degree in Computer Science, IT or similar (Master’s is a plus);
Proven experience as a Data Engineer or in a similar role;
Proficiency in Python (OOP, unit testing, APIs, etc.);
Solid understanding of ETL processes and data modelling;
Experience with SQL and orchestration tools (e.g. Airflow);
Experience with columnar databases (Redshift, BigQuery, Snowflake);
Experience with version control (e.g. GitHub);
Experience with dbt and cloud services (AWS, Heroku) is a plus;
Strong analytical and problem-solving mindset;
Ability to communicate technical concepts to non-technical stakeholders;
Excellent time management and task prioritisation;
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