Data Engineer
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Role details
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Job description
OverviewAs a Data Engineer at Plain Concepts, you will design and build data-driven solutions for diverse clients.You’ll work in cross-functional, agile teams on challenging projects, taking ownership from conception to deployment.You’ll apply modern data tooling to deliver scalable pipelines and robust ETL processes in cloud environments.This role offers remote or office work and opportunities to shape cutting-edge data initiatives in a collaborative, innovation-focused culture.Compensaciones / BeneficiosFlexible scheduleFully remote work (optional)Health insurance with dental co-paymentTraining budget and Microsoft certificationsEnglish lessonsBirthday day offResponsabilidadesParticipate in design and development of data solutions for challenging projectsDevelop projects from scratch with minimal supervision and strong team collaborationFoster best practices, clean and reusable codeDevelop ETLs using Spark (Python/Scala)Work on cloud-based projects (Azure/AWS)Build scalable pipelines using a variety of technologiesRequisitos principalesAt least 6 years of experience in data engineeringStrong experience with Python or Scala and Spark, processing large datasetsSolid experience in Cloud platforms (Azure or AWS)Hands-on experience building data pipelines (CI/CD)Experience with testing (unit, integration, etc.)Bonus: Databricks, Snowflake, or FabricBonus: Infrastructure as Code (IaC)Knowledge of SQL and NoSQL databasesBonus: fluent EnglishStrong team player mindsetTeam player mindsetGood communicationAdaptabilitySparkPython/ScalaAzure
Requirements
This role offers remote or office work and opportunities to shape cutting-edge data initiatives in a collaborative, innovation-focused culture.Compensaciones / BeneficiosFlexible scheduleFully remote work (optional)Health insurance with dental co-paymentTraining budget and Microsoft certificationsEnglish lessonsBirthday day offResponsabilidadesParticipate in design and development of data solutions for challenging projectsDevelop projects from scratch with minimal supervision and strong team collaborationFoster best practices, clean and reusable codeDevelop ETLs using Spark (Python/Scala)Work on cloud-based projects (Azure/AWS)Build scalable pipelines using a variety of technologiesRequisitos principalesAt least 6 years of experience in data engineeringStrong experience with Python or Scala and Spark, processing large datasetsSolid experience in Cloud platforms (Azure or AWS)Hands-on experience building data pipelines (CI/CD)Experience with testing (unit, integration, etc.)Bonus: Databricks, Snowflake, or FabricBonus: Infrastructure as Code (IaC)Knowledge of SQL and NoSQL databasesBonus: fluent EnglishStrong team player mindsetTeam player mindsetGood communicationAdaptabilitySparkPython/ScalaAzure
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