Senior Data Engineer ID71671

Description

**About the role** We are looking for a **Senior Data Engineer**to architect, build, and scale a modern data platform — designing production\-grade ETL/ELT pipelines, optimizing Snowflake data warehouse schemas, and establishing robust DataOps practices. You will orchestrate workflows using Airflow, Prefect, or Dagster, implement data quality and lineage frameworks, integrate third\-party REST APIs and event\-driven sources, and apply software engineering standards including CI/CD, Docker, and automated testing to data repositories. The role prioritizes clean, well\-tested Python code and a deep commitment to data reliability and accessibility. **What you will do** * **Data Pipeline Development:** Design, build, and maintain reliable, scalable ETL/ELT workflows that process batch and streaming data from diverse sources. * **Data Warehousing \& Modeling:** Design efficient, production\-ready schemas (normalized and denormalized) in **Snowflake** to optimize query performance and enable enterprise analytics. * **API \& Event Integration:** Connect and ingest data from third\-party REST APIs, event\-driven streams, and batch sources into core data storage platforms. * **Orchestration:** Maintain and expand workflow orchestration pipelines using modern tools (Airflow, Prefect, or Dagster). * **Data Quality \& Observability:** Implement automated testing, validation, lineage tracking, and proactive alerting frameworks to guarantee data accuracy and system uptime. * **DataOps \& Engineering Standards:** Drive CI/CD best practices, maintain code bases using Git and Docker, and adopt basic Infrastructure\-as\-Code (IaC) patterns. * **Code Excellence:** Apply modern software engineering standards—including design patterns, automated unit/integration testing, and clear documentation—to data repositories. **Must haves** * **4\+ years of experience** as a Data Engineer. * **Core Python Fundamentals:** Demonstrable expertise writing modular, maintainable, and well\-tested **Python** code (OOP/functional patterns, package management, standard testing frameworks). * **Advanced SQL \& Modeling:** Deep knowledge of complex **SQL** queries, query optimization, database design principles, and normalization/denormalization patterns. * **Data Warehousing:** Solid, hands\-on experience building, managing, and optimizing data architectures within **Snowflake**. * **Workflow Orchestration:** Production experience using workflow orchestration engines like **Apache Airflow, Prefect, or Dagster**. * **Integrations \& Ingestion:** Hands\-on experience working with REST APIs, event\-driven architectures, and both batch and streaming pipelines. * **Data Quality \& Lineage:** Experience building automated data quality checks, data lineage, and alerting mechanisms (e.g., using tools like dbt test, Great Expectations, or similar). * **DevOps / DataOps Practices:** Strong skills in version control (**Git**), containerization (**Docker**), **CI/CD** automation, and familiarity with Infrastructure\-as\-Code basics. * Upper\-intermediate English level. **Nice to haves** * Experience with **dbt** (data build tool) for data transformations. * Familiarity with major cloud providers (**AWS, GCP, or Azure**). * Exposure to message streaming tech like **Apache Kafka** or AWS Kinesis. **Perks and benefits** * **Growth without limits:** build your skills through mentorship, internal TechTalks, challenging projects, and a dedicated annual learning budget * **Competitive compensation:** get recognition that reflects your skills and impact, with regular performance and compensation reviews * **Flexibility:** work 100% remotely with flexible hours that support focus, autonomy, and a healthy work rhythm * **Meaningful, modern projects:** build impactful products using modern technologies alongside global teams and leading brands * **Collaborative culture:** join a supportive environment with zero micromanagement where ideas are welcomed and contributions are recognized * **Well\-being \& support:** access local well\-being programs and people\-focused support tailored to your location Job Type: Full\-time Work Location: Remote