Website Klarna
Analytics Engineer
What you’ll get to do:
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- Work with increasingly large volumes of data on resilient modern data infrastructure
- Own data products end to end
- Design and implement analytically suitable data structures from complex service data
- Advise upstream/downstream stakeholders on getting the best value out of our data, always with security, compliance, efficiency and standardization at front of mind
- Be an integral part of a team, in addition to its culture and ways of working. Common practices include agile methodologies, pair and mob programming
- Succeed, fail, and learn together with other talented people.
- We believe in an environment that provides an opportunity for growth and see education as an outcome of failure that gets us closer to the next breakthrough
To succeed in this role, we think you should have:
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- Strong working knowledge in data processing languages like SQLand Python Experience with Spark preferable
- Solid understanding of query and compute engines
- Experience in query design with consideration for platform
- Familiarity with dataset design practices and implementation strategies for multiple use cases (batch based analytics vs streaming)
- Understanding of common analytical practices & methods, and proficiency in one or more languages used by analysts (Python, R, etc.)
- Strong business acumen and product oriented thinking
- Strong communication skills, with emphasis on being able convey technical topics to differing levels of understanding and work closely on common problems with analyst and data science counterparts, in English
- A burning curiosity to learn, own, relay and leverage the stories told by our data
Some technologies you’ll get to work with
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- Data processing languages: SQL, Python, Pyspark
- Analytical tooling such as Jupyter Notebooks.AWS (Redshift, S3, Glue, EMR)
- Data ingestion and streaming tools such as Kafka, Flink, Kinesis Firehose, Apache Airflow
To apply for this job please visit jobs.lever.co.
Analytics Engineer at Klarna
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