
Senior Data Architect
1 day ago
Data Engineering Lead
">Key Responsibilities:
- We are looking for a Data Engineering Lead to design, develop and maintain large-scale data pipelines on Databricks.
- The successful candidate will lead the architecture and implementation of scalable, secure and high-performance data solutions.
- This role requires collaboration with business stakeholders, data scientists and analysts to gather requirements and deliver actionable data solutions.
- You will be responsible for optimizing data workflows for performance, cost-efficiency and reliability.
- Experience in integrating data from multiple structured and unstructured sources into Delta Lake and cloud data warehouses is required.
- The ideal candidate will implement best practices in data governance, security and quality management.
- Mentor junior engineers and provide technical leadership in data engineering best practices.
- Troubleshoot and resolve issues in data pipelines, ensuring high data availability and integrity.
Required Skills & Experience:
- 7+ years of experience in Data Engineering.
- Proven 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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