Advance Career Solutions
Databricks Architect -Java + SparkSQL
- Compensation
- Not disclosed
- Location
- India
- Work setup
- Hybrid
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Architecture
- Posted
Skills
Nice to have
- Apache Spark
- PySpark
- Scala / Python
- Big Data Engineering
- Data Science integration
Full description
Job Description Java + Spark Developer
Experience: 5–12 Years
Location: Pune
Notice Period: Immediate to 30 Days
Mandatory Skills: Java, SparkSQL, Databricks Architect Certification (Mandatory)
Job Summary
We are looking for an experienced Java and Spark Developer with strong expertise in big data processing, SparkSQL, and the Databricks platform to develop and optimize scalable data solutions.
Key Responsibilities
- Develop and maintain Java applications using Apache Spark and SparkSQL.
- Design scalable data pipelines and workflows using Databricks.
- Optimize Spark jobs for performance and resource efficiency.
- Collaborate with data scientists and engineers to integrate PySpark-based data science models.
- Manage Databricks clusters and Spark job deployments.
- Perform code reviews, testing, debugging, and production issue resolution.
- Mentor junior developers and participate in Agile activities.
Mandatory Skills
- Java
- SparkSQL
- Databricks Architect Certification
Good to Have
- Apache Spark
- PySpark
- Scala / Python
- Big Data Engineering
- Data Science integration