Data Engineer

Posted 23 hours ago

This is a fully remote position, open to applicants in Kazakhstan, +1 more country.

πŸ“‹ Description

β€’ Design and sustain dependable, scalable data models, transformations, and pipelines utilizing BigQuery and dbt.

β€’ Combine data from various sources including databases, APIs, file feeds, and external providers.

β€’ Convert reporting requirements into precise, thoroughly tested, and well-documented datasets.

β€’ Establish validation processes, checks, and monitoring systems to detect data issues proactively.

β€’ Guarantee that daily data is accurately delivered and adheres to the scheduled timeline.

β€’ Propel development efforts within the GCP, dbt, and Power BI ecosystem.

β€’ Directly report to the Head of Data Warehouse.


⛳️ Requirements

β€’ Extensive proficiency in SQL with the ability to write and debug complex queries and comprehend the underlying data.

β€’ Significant experience in a production environment working with ELT pipelines, data integration, and data modeling.

β€’ Profound understanding of data quality assurance principles and data warehouse architecture.

β€’ Dependability and autonomy in addressing data-related challenges and completing tasks.

β€’ Experience in designing and creating data models using dbt (preferred).

β€’ Proficiency in Python for data movement and integration across GCP services (preferred).

β€’ Practical knowledge in querying and operating within BigQuery or a similar cloud warehouse (preferred).

β€’ Strong understanding of star-schema design and semantic modeling for Power BI (preferred).

β€’ Familiarity with version control and CI/CD workflows; experience with GitLab is a plus (preferred).

β€’ Background in brokerage, banking, asset management, payments, or fintech data (preferred).


🏝️ Benefits

β€’ Competitive salary that reflects your experience and the value you contribute.

β€’ Flexibility that accommodates your lifestyle β€” work remotely, from our office, or a combination of both. You choose what suits you best.

β€’ Flexible benefits package β€” select the options that align with your life, rather than a one-size-fits-all approach.

β€’ A truly enjoyable workplace β€” an informal, collaborative culture where your ideas are valued, and bureaucracy is minimized.

β€’ Ongoing learning opportunities β€” continuous training, educational programs, and support to enhance your expertise in a rapidly evolving industry.

β€’ Connections beyond your desk β€” events designed to foster networking and celebration among our teams.

β€’ Global exposure β€” collaborate alongside talented colleagues from around the globe, within a business serving clients in over 100 countries.

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