Data Engineer – Python
Location: Remote
- Job Summary
- We are looking for an experienced Data Engineer with strong Python skills to design, build, and maintain reliable data pipelines and data processing solutions. The ideal candidate should have hands-on experience working with large datasets, databases, ETL processes, and cloud-based data platforms.
- Key Responsibilities
- Design and develop scalable data pipelines and ETL/ELT processes using Python.
- Develop data processing solutions using Python, SQL, and PySpark.
- Work with relational and cloud databases to support data integration and analytics.
- Build and optimize data workflows for performance and reliability.
- Work with cloud platforms such as AWS, Azure, or GCP.
- Perform data validation, troubleshooting, and pipeline monitoring.
- Collaborate with data analysts, engineers, and other technical teams.
- Required Skills
- 5+ years of experience in Data Engineering.
- Strong hands-on experience with Python and SQL.
- Experience with ETL/ELT and data pipeline development.
- Experience with PySpark or Spark.
- Strong knowledge of databases such as SQL Server, PostgreSQL, MySQL, or Oracle.
- Experience with at least one cloud platform: AWS, Azure, or GCP.
- Good understanding of data warehousing and data modeling.
- Experience with tools such as Airflow, Databricks, Snowflake, or similar is a plus.
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Data Engineer-Python
Appzlogic
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