Sr. Analytics Engineer

120 - 140 PLN/ godz./ godz.

SeniorZdalnieFull-time

#461163·Dodano 3 dni temu·0

Źródło: LinkGroup

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Tech Stack / Keywords

BigQuerydbtSQLLookerPower BIGitGreat ExpectationsPython GitHub Actions IoT

Podsumowanie oferty

Transform mobile app events and IoT device data into reliable data models and a trusted source for business reporting. Build and maintain scalable models with BigQuery and dbt, along with semantic layers and dashboards in Looker and/or Power BI.

Wymagania

Must-have skills & experience:

Advanced SQL and BigQuery expertise, including query optimization, partitioning, clustering, table design, and cost-performance trade-offs.
Hands-on experience with dbt, building modular, tested, and documented data models, including the use of macros and packages.
Proven experience working with mobile application event data and event-driven analytics ecosystems.
Experience connecting application events with device telemetry and modeling complex event-driven data flows.
Experience developing and maintaining semantic layers, metrics, and business dashboards using Looker and/or Power BI.
Proficiency with Git, including version control, branching strategies, pull requests, and code review workflows.
Experience implementing automated data quality checks using dbt tests, Great Expectations, or similar tools.

Nice to have:

Basic Python scripting, API integrations, and data orchestration.
Experience with CI/CD tools such as GitHub Actions or similar deployment automation tools.
Familiarity with data pipelines that transfer events and telemetry from connected devices into BigQuery.

Obowiązki

Key Responsibilities:

Design, build, and maintain scalable data models using BigQuery and dbt.
Transform raw mobile app events and IoT telemetry into clean, reliable, business-ready datasets.
Develop and maintain a consistent semantic layer and business dashboards using Looker and/or Power BI.
Optimize BigQuery queries, data structures, and processing costs.
Implement automated data quality checks and testing frameworks to ensure data accuracy and consistency.
Collaborate with stakeholders to translate business requirements into robust analytics solutions.
Apply software engineering best practices, including version control, code reviews, and automated deployments.

Inne informacje

The engagement is to start as soon as possible.

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