Posted:1 day ago| Platform: Linkedin logo

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Job Type

Full Time

Job Description

3+ years of professional experience in a data engineering role.
  • Expert-level proficiency in SQL and the ability to write complex, highly-performant
queries.
  • Proficient in Python based data cleaning packages and tools. Experience in python is a
must.
  • Hands-on experience building data solutions on a major cloud provider (AWS or Azure),
utilizing core services like AWS S3/Glue/Athena or Azure ADLS/Data Factory/Synapse.
  • Proven experience building and maintaining data pipelines in Python.
  • Experience with NoSQL databases like MongoDB, including an understanding of its
data modeling, aggregation framework, and query patterns.
  • Deep understanding of data warehousing concepts, including dimensional modeling,
star/snowflake schemas, and data modeling best practices.
  • Hands-on experience with modern data transformation tools, specifically dbt.
  • Familiarity with data orchestration tools like Apache Airflow, Dagster, or Prefect.
  • Proficiency with Git and experience working with CI/CD pipelines for data projects.
Skills: data warehousing,ci/cd,data,mongodb,aggregation,sql,airflow,aws,git,apache airflow,data engineer,dbt,building,python,pipelines,modeling,data modeling,nosql,azure

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