Job Description
Design and architect scalable data platforms using Databricks and Apache Spark.
Lead end-to-end implementation of data lakes, lakehouse, and analytics solutions.
Define data engineering, security, and governance best practices.
Collaborate with data engineers, data scientists, and business stakeholders.
Optimize performance, cost, and reliability of Databricks workloads.
Requirements
Strong hands-on experience with Databricks, Spark, and Delta Lake.
Proficiency in Python/Scala and SQL for big data processing.
Experience with cloud platforms (AWS, Azure, or GCP).
Solid understanding of data architecture, ETL/ELT, and data modeling.
Excellent communication and solution-design skills
Requirements
Strong hands-on experience with Databricks, Spark, and Delta Lake.
Proficiency in Python/Scala and SQL for big data processing.
Experience with cloud platforms (AWS, Azure, or GCP).
Solid understanding of data architecture, ETL/ELT, and da...
Lead end-to-end implementation of data lakes, lakehouse, and analytics solutions.
Define data engineering, security, and governance best practices.
Collaborate with data engineers, data scientists, and business stakeholders.
Optimize performance, cost, and reliability of Databricks workloads.
Requirements
Strong hands-on experience with Databricks, Spark, and Delta Lake.
Proficiency in Python/Scala and SQL for big data processing.
Experience with cloud platforms (AWS, Azure, or GCP).
Solid understanding of data architecture, ETL/ELT, and data modeling.
Excellent communication and solution-design skills
Requirements
Strong hands-on experience with Databricks, Spark, and Delta Lake.
Proficiency in Python/Scala and SQL for big data processing.
Experience with cloud platforms (AWS, Azure, or GCP).
Solid understanding of data architecture, ETL/ELT, and da...
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