Freelance Data Engineer
Summary
Freelance data engineer who designs, builds, and maintains ELT pipelines in a cloud environment using Snowflake, Airflow, PySpark, AWS, Fivetran, and dbt. Day to day involves monitoring data quality and reliability, supporting legacy-to-cloud migration, and collaborating with BI and architecture teams.
Deliverables
Develop, implement, and maintain robust ELT pipelines using Snowflake, Airflow, Pyspark, AWS, Fivetran, and dbt Manage and support both legacy and modern data systems, ensuring seamless data integration and migration Monitor and enhance data quality, observability, and reliability across all data workflows Automate data integration processes and support migration from legacy environments to modern cloud platforms Maintain comprehensive documentation for data pipelines, workflows, and system architecture Collaborate with BI and architecture teams to address business requirements and solve complex data challenges
Requirements
Proven experience in data engineering, with a strong focus on ELT pipeline development and maintenance Advanced proficiency in SQL and experience with pipeline orchestration tools such as Airflow Hands-on expertise with Snowflake, Pyspark, AWS, Fivetran, and dbt Solid understanding of data quality, observability, and governance best practices Experience supporting both legacy and modern data systems in a cloud environment Familiarity with business intelligence tools and data warehouse management Strong problem-solving skills and ability to work collaboratively in cross-functional teams Excellent written and verbal communication skills Availability for a full-time contract position
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