Data Engineer

September 26

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Coody.io

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Staffing • Software • Design • UX • Backend

11 - 50

Description

• Work on technically, intellectually challenging and fun assignments. • Design and set up well-functioning fully automated data platforms and data pipelines. • Contribute to ways of working and product strategy. • Expected to hit the ground running in new environments. • Typically work on 1-2 different assignments per year for companies in a sector you're passionate about.

Requirements

• 5+ years of experience working as a Data Engineer. • Deep understanding of one or more technical areas. • Fluency in English (verbal and written). • Experience working in an agile environment. • A doers mindset with a proven track record of getting things done. • Experience from design, develop and maintain scalable data pipelines, infrastructure and tools. • Solid understanding of cloud based environments e.g. Azure, AWS or GCP. • Technical expertise with tools such as Python, Snowflake, Airflow, DBT, Tableu, ELT/ETL, BigQuery, Looker Studio, Kafka, Hadoop, Spark, SQL. • An interest for becoming a wizard in Big data architecture. • A degree in Computer Science, Engineering or Mathematics.

Benefits

• Maximized Compensation: Typically a +44% salary increase. • Higher sense of freedom: No bosses. • All digital. • Fully remote for those who want. • Shaping the future: Work with digital game-changers like Mojang, Spotify, Tobii, Volumental, and various startups and scale-ups.