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Databricks SME
DataE2E TechnologiesKanpur, IN5 days ago
Job description7+ 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.
Salary - Upto 25 LPA
Key Responsibilities
- Design, develop, and maintain data pipelines and ETL processes on Databricks .
- Lead the architecture and implementation of scalable, secure, and high-performance data solutions.
- Collaborate with business stakeholders, data scientists, and analysts to gather requirements and deliver actionable data solutions.
- Optimize data workflows for performance, cost-efficiency, and reliability .
- Integrate data from multiple structured and unstructured sources into Delta Lake and cloud data warehouses.
- 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
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Sme • Kanpur, IN
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