Mid Data Engineer

New
J
JobgetherData analytics
Based in BrazilFull-TimeMiddle
Salary not disclosed
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Job Details

Experience
At least three years of experience as a Data Engineer, Analytics Engineer, or in a similar role.
Required Skills
PythonSQLETLAgile methodologiesDatabricksPySpark

Requirements

  • Hold a bachelor’s degree in Computer Science or a related field.
  • Have at least three years of experience as a Data Engineer, Analytics Engineer, or in a similar role.
  • Have advanced proficiency in SQL and Python for data transformation, processing, and automation.
  • Have practical experience with PySpark and Databricks or other data lake platforms.
  • Be familiar with medallion architecture, including bronze, silver, and gold data layers.
  • Have experience developing ETL pipelines and supporting machine learning operations.
  • Have an understanding of advanced analytics techniques and strong analytical thinking and problem-solving skills.
  • Be familiar with Agile methodologies and collaborative development practices.
  • Be able to work effectively with technical and non-technical stakeholders.
  • Familiarity with Sigma Computing, Qlik or similar data visualization platforms, AI and machine learning frameworks, or R is a plus.

Responsibilities

  • Develop, maintain, and optimize Databricks ETL pipelines for data ingestion, integration, and processing.
  • Gather requirements with technical teams and business stakeholders and design scalable data solutions.
  • Manage the data lifecycle from data lake ingestion through bronze, silver, and gold layers.
  • Prepare datasets for reporting and visualization.
  • Implement data transformation, processing, and automation logic using SQL, Python, and PySpark.
  • Support advanced analytics initiatives and machine learning operations in Databricks.
  • Build, maintain, and improve dashboards and reports.
  • Investigate data challenges and implement optimization solutions.
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