High Salary: Databricks Engineer

1 day ago

India DataE2E Technologies Full time
Job Title: Databricks Engineer (Remote)

Location: 100 % Remote

Job Type: Full-Time

Shift timings: 3 pm - 11 pm IST

About the Role:

We are looking for an experienced Databricks Engineer with a strong background in data engineering to help build and optimize scalable, high-performance data solutions. The ideal candidate has hands-on experience in Databricks production environments and a deep understanding of modern data architecture. You'll work with cross-functional teams to create robust data pipelines and ensure the reliability, quality, and observability of data across platforms.

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.

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Required Skills & Experience

- 6-7 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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