Databricks Solution Developer

1 day ago

Madurai, Tamil Nadu, India beBeeDataArchitect Full time ₹ 19,23,600 - ₹ 24,14,400

Job Title: Data Architect - Databricks

Location: 100 % Remote

Job Type: Full-Time

Shift timings: Flexible IST

About the Role:

We are seeking a skilled Data Architect with expertise in data engineering to design and develop scalable, high-performance data solutions.

The ideal candidate has hands-on experience in production environments and a deep understanding of modern data architecture. You will work closely with cross-functional teams to create robust data pipelines and ensure the reliability, quality, and observability of data across platforms.

Main Responsibilities:

  • Design, develop, and maintain data pipelines and ETL processes on Databricks.
  • Lead the architecture and implementation of secure, efficient, 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:

  • 6-7 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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