Job Summary
A company is looking for a Data Engineer to join their growing team.
Key Responsibilities:
- Design and build reliable, scalable data pipelines for ingestion, transformation, normalization, and augmentation
- Develop data transformation workflows using tools such as Pandas and Apache Spark
- Collaborate with cross-functional teams to gather data requirements and translate them into actionable data models
Required Qualifications:
- 3+ years of hands-on experience with SQL and Python in data engineering or analytics roles
- Experience with data transformation tools/frameworks such as dbt, Pandas, and Apache Spark
- Familiarity with cloud data platforms (e.g., Azure, AWS, Databricks)
- Solid understanding of ETL/ELT processes and pipeline orchestration
- Experience using version control systems like Git
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