.Data Engineer [Apache Iceberg & Databricks]

Requirements

• 3+ years of experience in Data Engineering or a related role.


• Hands-on experience with Databricks and Apache Iceberg.


• Strong SQL and Python skills.


• Experience with Spark/PySpark and distributed data processing.


• Strong understanding of Data Lake/Lakehouse architecture.


• Experience with cloud platforms such as AWS, Azure, or GCP.


• Knowledge of ETL/ELT, data modeling, and data pipeline development.


• Experience with Delta Lake, Kafka, or other data technologies is an advantage.

Requirements

• 3+ years of experience in Data Engineering or a related role.


• Hands-on experience with Databricks and Apache Iceberg.


• Strong SQL and Python skills.


• Experience with Spark/PySpark and distributed data processing.


• Strong understanding of Data Lake/Lakehouse architecture.


• Experience with cloud platforms such as AWS, Azure, or GCP.


• Knowledge of ETL/ELT, data modeling, and data pipeline development.


• Experience with Delta Lake, Kafka, or other data technologies is an advantage.

Responsibilities

Minimum Qualifications

• Design, build, and maintain scalable data pipelines and data platforms.


• Develop and optimize data processing workflows using Databricks and Apache Iceberg.


• Build and manage batch and streaming data pipelines.


• Work with data lake/lakehouse architectures and ensure data quality, reliability, and performance.


• Integrate data from multiple sources and transform it for analytics and business use.


• Implement data governance, security, monitoring, and optimization practices.


• Collaborate with Data Architects, Analysts, and other engineering teams to deliver data solutions.