Data Engineer

February 22

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Logo of Birdie HR

Birdie HR

Birdie HR is a dedicated Employer of Record that streamlines the back office operations for recreation businesses. By handling payroll administration, benefits administration, insurance coverage, compliance, and HR technology support, Birdie HR alleviates the administrative burden, allowing businesses to focus on growth. With quick onboarding and comprehensive support services, Birdie HR ensures teams are paid and protected while adhering to all legal requirements.

Payroll Services β€’ Human Resources β€’ Benefits Administration β€’ Employment Insurance β€’ Workers' Compensation

πŸ“‹ Description

β€’ Develop and maintain data infrastructure and data warehouse solutions. β€’ Design, develop, and maintain scalable and efficient data pipelines and ETL processes. β€’ Develop APIs. β€’ Gather and define business requirements for data tools and analytics. β€’ Communicate and collaborate with the analytics team. β€’ Monitor and troubleshoot data pipelines and infrastructure. β€’ Implement measures to ensure data integrity, security, and performance. β€’ Assist in the implementation of data science solutions. β€’ Develop and maintain documentation for data pipelines, infrastructure, and workflows. β€’ Stay updated with the latest data engineering technologies and best practices. β€’ Automate data processes. β€’ Collect data from different sources.

🎯 Requirements

β€’ 2+ years of work experience as a Data Engineer. β€’ Experience with AWS - S3, Redshift, DMS, Glue, Lambda, Athena, QuickSight. β€’ Excellent level of SQL. β€’ Proficient in Python. β€’ Knowledge and experience with developing data warehousing and ETL pipelines. β€’ API development experience. β€’ Basic understanding of machine learning and data science. β€’ Experience with relational and non-relational databases. β€’ Good-level written and verbal communication skills. β€’ Upper-intermediate or higher English level.

πŸ–οΈ Benefits

β€’ Positive workplace atmosphere fostering collaboration and support. β€’ Competitive compensation and regular career development reviews. β€’ Flexible working hours and remote options. β€’ Generous vacation and sick leave policy. β€’ Financial assistance for professional development. β€’ Educational allowances for expanding knowledge. β€’ Monthly allowance for personal activities. β€’ Comprehensive health insurance plans. β€’ Referral program rewards for bringing top talent. β€’ Engaging team-building activities and corporate parties.

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January 18

As a Data Engineer at MeridianLink, design and build ETL pipelines for data processing. Utilize AI and machine learning tools to enhance data analysis capabilities.

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