
Chief Data Architect
5 days ago
Job Title: Databricks Engineer
Location: 100 % Remote
Job Type: Full-Time
Shift timings: 3 pm - 11 pm IST
About the Role:
We are seeking an experienced Data Engineer to build and optimize scalable, high-performance data solutions using Databricks. 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.
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.
Bonus Benefits
- Flexible Working Hours
- Opportunity to work on diverse projects
- Career Growth Opportunities
Achieve Excellence
In this role, you will have the opportunity to design, develop, and implement scalable, secure, and high-performance data solutions using Databricks. Your expertise will be valuable in helping us achieve our goals and delivering innovative solutions to our customers. If you're passionate about data engineering and want to take your career to the next level, apply now
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