
Senior Big Data Solutions Developer
6 days ago
Job Description
- We are seeking a skilled Data Engineer to design, develop and maintain data pipelines and ETL processes on Databricks.
- The ideal candidate will lead the architecture and implementation of scalable, secure and high-performance data solutions.
- They will collaborate with business stakeholders, data scientists and analysts to gather requirements and deliver actionable data solutions.
- The successful candidate will optimize data workflows for performance, cost-efficiency and reliability.
- They will integrate data from multiple structured and unstructured sources into Delta Lake and cloud data warehouses.
- The Data Engineer will implement best practices in data governance, security and quality management.
- They will mentor junior engineers and provide technical leadership in data engineering best practices.
- The Data Engineer will troubleshoot and resolve issues in data pipelines, ensuring high data availability and integrity.
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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