
Cloud-Based Senior Data Engineering Position
2 days ago
About this Job:
We are seeking a senior data engineer to lead our cloud-based data pipeline and big data processing using Spark.
Key Responsibilities include working with Databricks platform, writing optimized code using PySpark, Spark SQL, and Python, developing and maintaining ETL processes, implementing and optimizing data pipelines for data transformation and integration, and debugging code when required.
Technical Requirements include 7-12 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, and Azure Data Engineer certification is a plus.
The ideal candidate should have excellent problem-solving ability with solid communication and collaboration skills, good experience with version control (Git) and ci/cd, and knowledge of one or more SQL variant, preferably PL/SQL and Spark SQL.
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