Our Full Recruiting Process
DataEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Data Engineer at Our Full Recruiting Process. Skills: Data Engineering, Python, PySpark, Databricks. Design, develop, and implement data platforms. Assemble large complex data sets”
What They're Looking For.
Must Have
Bachelor's degree in Computer Science or related field, Experience in data engineering, data science, or related field, Proficiency with data architecture and data processing tools, Proficiency in Python and PySpark, Demonstrated experience in using Databricks, Familiarity with version control systems, Hands-on experience in implementing CI/CD processes
Nice to Have
Azure Associate Data Engineer (DP-203), Databricks Professional Data Engineer, Apache Spark Developer Associate, Professional Data Engineer, Power BI, DAX, and Tabular models (TMDL - nice to know), Experience developing big Power BI Tabular models, Knowledge of DAX
What You'll Do.
and implement data platforms
Assemble large complex data sets
Partner with data asset managers
Contribute to coding standards
and implement improvements
How You'll Work.
Team & Collaboration
Partner with data asset managers; Partner with architects; Partner with development leads
Full Job Description
**Job Location** WARSAW DOWNTOWN OFFICE **Job Description** The Data Engineer is responsible for designing, developing, and implementing data and analytics cloud-based analytics platforms (DAP) and pipelines that acquire, cleanse, transform, and publish data from a wide variety of sources. **Key Responsibilities:** * Assemble large complex data sets which meet functional and non-functional business requirements. * Partner with data asset managers, architects, and development leads to ensure a technical solution provides data which is fit for use and in line with architecture blueprints. * Contribute to and leverage coding standards and best practices to ensure services and components are efficient and reusable. * Identify, design, and implement internal process improvements. **Job Qualifications** * Bachelor's degree in Computer Science or related field. * Experience in data engineering, data science, or related field. * Proficiency with data architecture and data processing tools. * Certifications: Azure Associate Data Engineer (DP-203), Databricks Professional Data Engineer, Apache Spark Developer Associate, Professional Data Engineer. * Experience with Power BI, DAX, and Tabular models (TMDL - nice to know). * Proven track record of designing and implementing ETL/ELT processes in a cloud environment, specifically Azure using Databricks * Experience developing big Power BI Tabular models. * Knowledge of DAX. * Familiarity with version control systems, particularly Git, and the GitFlow branching model for collaborative development. * Hands-on experience in implementing Continuous Integration and Continuous Deployment processes for data pipelines and applications. * Proficiency in Python and PySpark for data processing, transformation, and analysis. * Demonstrated experience in using Databricks for data engineering tasks, including working with Delta Lake and Spark SQL. **We offer** * P&G-sized projects and access to world leading IT partners and technologies from D
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