Data Engineer

October 31

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Hakkoda

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Snowflake Cloud Data Platform • Data Science • Data Engineering • Data, Analytics and ML Strategy • dbt

51 - 200

💰 $5.6M Seed Round on 2021-11

Description

• Please note that at this time, we are not accepting resumes from external agencies or recruiters. Any unsolicited resumes will not be considered and will not obligate Hakkoda to any referral fees. • Hakkoda is a modern data consultancy that empowers data driven organizations to realize the full value of the Snowflake Data Cloud. • We provide consulting and managed services in data architecture, data engineering, analytics and data science. • We are looking for curious and creative individuals who want to be part of a fast-paced, dynamic environment, where everyone’s input and efforts are valued. • We hire outstanding individuals and give them the opportunity to thrive in a collaborative atmosphere that values learning, growth, and hard work. • We are seeking a talented Data Engineer to join our growing team of experts. • In this role, you will build and optimize data pipelines and architectures within the cloud (AWS, Azure, GCP). • You will collaborate with data experts, analysts, architects, and data scientists to create cutting-edge solutions. • The ideal candidate has experience in building data warehouses and analytics systems. • The Data Engineer will focus on designing and maintaining data pipeline architectures. • Your responsibilities include assembling complex data sets, building and optimizing ETL/ELT infrastructure. • You will also ensure robust data governance and security practices are applied consistently.

Requirements

• 2+ years of experience as a Data Engineer or in a related technical role. • Bachelor’s Degree in Computer Science, Information Systems, Mathematics, MIS, or a related field. • Experience developing data warehouses and building ETL/ELT ingestion pipelines. • Strong experience in optimizing ‘big data‘ pipelines, architectures, and data sets. • Proficiency in SQL scripting and working with relational databases. • Experience with business intelligence and analytics, particularly working with unstructured data. • Cloud experience with AWS (experience with Azure and GCP is a plus) • Proficiency in Python scripting. • Strong consulting skills. • Fluency in English, both written and spoken.

Benefits

• Comprehensive health insurance • Competitive meal allowance • Annual bonus opportunities • 22 days of paid time off, plus 2 additional days (your birthday and Christmas Eve) • Initial home office budget • Work-from-home allowance • Technical training and certification programs