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Data Engineering Analyst
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Part-time
- Bachelors or Masters degree in Computer Science, Information Systems, Data Engineering, or related field.
- Proficiency in programming languages such as Python, SQL, or Java, and experience with data manipulation and transformation frameworks (e.g., Pandas, Spark).
- Strong understanding of database technologies (e.g., SQL, NoSQL, BigQuery), data warehousing concepts, and cloud platforms (e.g., AWS, Azure, GCP).
- Experience with data integration tools (e.g., Apache NiFi, Talend, Informatica) and workflow management systems (e.g., Apache Airflow, Luigi).
- Familiarity with data visualization and BI tools (e.g., Tableau, Power BI) is a plus.
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