We’re looking for a Data Engineer with experience in Databricks to help build and optimize data pipelines that power analytics and machine learning across the organization. You’ll work closely with data teams to ensure our data infrastructure is scalable, efficient, and reliable.
Key Responsibilities:
Build and maintain ETL/ELT pipelines using Databricks and Apache Spark.
Develop and optimize data workflows for large-scale data processing.
Monitor and improve data quality, reliability, and performance.
Requirements:
3+ years of experience in data engineering.
Hands-on experience with Databricks and Spark.
Strong SQL skills and experience working with cloud data infrastructure.
Knowledge of data modeling and big data processing.
Nice to Have:
Experience with Azure cloud services.
Familiarity with Java and data orchestration tools.
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