
Lead Cloud Data Engineer
3 weeks ago
About the Job :
We're hiring an cloud data engineering (preferably Azure) data pipelines and Spark.
- Work with Databricks platform using Spark for big data processing and analytics.
- Write optimized and efficient code using PySpark, Spark SQL and Python.
- Develop and maintain ETL processes using Databricks notebooks and workflows.
- Implement and optimize data pipelines for data transformation and integration.
- Knowledge of one or more SQL variant, preferably PL/SQL and Spark SQL.
- Write complex SQL queries for data retrieval, manipulation, and analysis.
- Debugging code when required and troubleshooting any Python, Pyspark or SQL related queries.
- Good Experience with version control (Git) and ci/cd.
- Excellent problem-solving ability with solid communication and collaboration skills
Key Responsibilities :
- Work with Databricks platform using Spark for big data processing and analytics.
- Write optimized and efficient code using PySpark, Spark SQL and Python.
- Develop and maintain ETL processes using Databricks notebooks and workflows.
- Implement and optimize data pipelines for data transformation and integration.
- Knowledge of one or more SQL variant, preferably PL/SQL and Spark SQL.
- Write complex SQL queries for data retrieval, manipulation, and analysis.
- Debugging code when required and troubleshooting any Python, Pyspark or SQL related queries.
- Good Experience with version control (Git) and ci/cd.
- Excellent problem-solving ability with solid communication and collaboration skills
Technical Requirements :
- 7 to 12 years of experience as a Data Engineer or related role
- Strong expertise with Databricks platform using Spark for big data processing
- Proficiency in Python programming and data manipulation libraries like Pandas, PySpark
- Strong working knowledge of SQL for data querying and transformations
- Solid understanding of ETL design patterns and data warehousing principles
- Azure Data Engineer certification is a plus
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