Job Description:
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We are seeking a highly skilled Data Engineer to join our team. As a Data Engineer, you will be responsible for designing, creating, and developing report/dashboard visualization and data element standards across multiple product offerings.
You will work closely with key stakeholders to drive the development of our company's data, reporting, and analytics platforms. Your primary focus will be on building, maintaining, and improving data models, dashboards, and data pipelines.
The ideal candidate will have extensive experience creating dashboards/visualizations using Data Studio, Looker, Tableau (or similar) and perform data profiling on large, complex data sets. They should also have advanced proficiency with SQL, with experience in writing complex queries, optimizing for performance, and using SQL in large-scale data processing workflows.
Required Skills and Qualifications:
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* Create clean, reliable, and scalable 'single-source-of-truth' data sets by partnering with business owners and engineering teams to address data issues in upstream systems.
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* Build, maintain, and improve data models, dashboards, and data pipelines.
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* Extensive experience creating dashboards/visualizations using Data Studio, Looker, Tableau (or similar).
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* Perform data profiling on large, complex data sets and provide insights into data quality challenges.
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* Advanced proficiency with SQL, with experience in writing complex queries, optimizing for performance, and using SQL in large-scale data processing workflows.
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* Proficiency in programming languages such as Python, Java, or Scala, with practical experience building data pipelines, automating data workflows, and integrating APIs for data ingestion.
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* Work with business and engineering teams to drive the development of the company's data, reporting, and analytics platforms.
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* Skill at writing optimized ETL jobs to feed data into BigData systems (i.e., BigQuery, DOMO, Hadoop).
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* Expert in data analysis, visualization, and communication.
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* Bachelor's degree in Computer Science, Data Engineering, Data Science, or a related quantitative field (e.g. Mathematics, Statistics, Engineering).
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* 2+ years of experience using GCP Data Lake and Storage Services. Certifications in GCP are preferred (e.g. Professional Cloud Developer, Professional Cloud Database Engineer).
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* Familiarity with a variety of data visualization techniques and libraries (Telerik, FusionCharts, ECharts, Webix, D3, etc.).
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* Experience working in a fast-paced agile environment.
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* Experience working with enterprise systems and understanding of data design pattern differences between transactional systems and analytical data warehouses.
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* Experience with data analytics tools and languages (R, Python).
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* Experience with database migration tools (e.g., Flyway) and source control using GitLab or similar Git-based source code management tools is a plus.
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Benefits:
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We offer a competitive compensation package and opportunities for professional growth and development.
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Others:
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Decskill is committed to equality and non-discrimination with all our talents. We recruit and promote talent, based on diversity and inclusion, regardless of age, gender, ethnicity, race, nationality or any other form of discrimination incompatible with the dignity of the human being.
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