Senior Data Engineer ID71670

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** * Design, build, and maintain reliable, scalable ETL/ELT workflows that process batch and streaming data from diverse sources; * Design production\-ready normalized and denormalized schemas in Snowflake to optimize query performance and support enterprise analytics; * Connect and ingest data from third\-party REST APIs, event\-driven streams, and batch sources into core data storage platforms; * Maintain and expand workflow orchestration pipelines using Airflow, Prefect, or Dagster; * Implement automated data testing, validation, lineage tracking, and proactive alerting frameworks to ensure data accuracy and system uptime; * Drive CI/CD best practices, maintain codebases using Git and Docker, and adopt Infrastructure\-as\-Code patterns; * Apply modern software engineering standards, including design patterns, automated unit and integration testing, and clear documentation. **Must haves** * **4\+ years of experience as a Data Engineer**; * Strong proficiency in **Python**, including modular, maintainable, and well\-tested code; * Advanced knowledge of **SQL**, query optimization, database design principles, and normalization/denormalization patterns; * Hands\-on experience with **Snowflake**; * Production experience with workflow orchestration tools such as **Apache Airflow**, **Prefect**, or **Dagster**; * Experience working with **REST APIs**, event\-driven architectures, and batch and streaming pipelines; * Experience implementing automated data quality checks, data lineage, and alerting mechanisms; * Strong experience with **Git**, **Docker**, CI/CD automation, and Infrastructure\-as\-Code fundamentals; * Upper\-intermediate English level. **Nice to haves** * Experience with **dbt** for data transformations; * Familiarity with major cloud platforms such as **AWS**, **GCP**, or **Azure**; * Experience with message streaming technologies such as **Apache Kafka** or **AWS Kinesis**. **Perks and benefits** * **Professional growth:** Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps. * **Competitive compensation:** We match your ever\-growing skills, talent, and contributions with competitive USD\-based compensation and budgets for education, fitness, and team activities. * **A selection of exciting projects:** Join projects with modern solutions development and top\-tier clients that include Fortune 500 enterprises and leading product brands. * **Flextime:** Tailor your schedule for an optimal work\-life balance, by having the options of working from home and going to the office, whatever makes you the happiest and most productive. Job Type: Full\-time Work Location: Remote