
Databricks Expert
1 day ago
We are seeking an exceptional Data Engineer to join our team. As a key member of our data engineering group, you will be responsible for designing, developing, and maintaining large-scale data pipelines and ETL processes on Databricks.
Our ideal candidate has a strong background in data engineering with expertise in Databricks, PySpark, Spark SQL, and Scala. You will work closely with business stakeholders, data scientists, and analysts to gather requirements and deliver actionable data solutions.
We are looking for a self-motivated individual who can optimize data workflows for performance, cost-efficiency, and reliability. You will integrate data from multiple structured and unstructured sources into Delta Lake and cloud data warehouses.
Additionally, you will implement best practices in data governance, security, and quality management. Your technical leadership will help mentor junior engineers and provide guidance on data engineering best practices.
This role requires strong problem-solving skills and the ability to troubleshoot and resolve issues in data pipelines. If you are passionate about big data ecosystems, data modeling, and ETL development, we encourage you to apply.
Required Skills & Experience:- 7+ years of experience in Data Engineering
- Proven Subject Matter Expertise in Databricks (including Databricks SQL, Delta Lake, and MLflow)
- Strong experience with PySpark, Spark SQL, and Scala
- Hands-on experience with cloud platforms (Azure preferred; AWS/GCP a plus)
- Proficiency in data modeling, ETL development, and data warehousing concepts
- Solid understanding of big data ecosystems (Hadoop, Kafka, etc.)
- Strong SQL development skills with a focus on performance tuning
- Experience in implementing CI/CD pipelines for data solutions
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