Location: Bangalore, India About Company Sapiens International Corporation (NASDAQ and TASE: SPNS) is a leading global provider of software solutions for the insurance industry, with a growing presence in the financial services sector. We offer integrated core software solutions, business services, and a full digital suite for property and casualty/general insurance; life, pension, and annuities; and reinsurance markets. Sapiens also services the workers' compensation and financial and compliance markets. Our portfolio includes policy administration, billing, and claims; underwriting, illustration, and electronic application; reinsurance and decision management software. Sapiens' digital platform features customer and agent portals, and a business intelligence platform. With a 40-year track record of delivering to more than 700+ organizations, Sapiens' team of over 5,400+ employees operates through our fully-owned subsidiaries in North America, the United Kingdom, EMEA, and Asia Pacific. For more information: www.sapiens.com . Job Description B.E (or equivalent). Minimum 4 + years of experience and minimum 2+ years relevant in Databricks as a primary skill. Extensive hands-on experience in Java development, including strong knowledge of core Java concepts, data structures, and algorithms. In-depth understanding of distributed data processing frameworks like Apache Spark, with specific expertise in Databricks. Familiarity with big data technologies and concepts, including Hadoop, Hive, and HDFS. Solid understanding of data modeling, database design, and data warehousing concepts. Knowledge of both SQL and NoSQL databases, and the ability to choose the right database type based on project requirements. Ability to write clean, maintainable, and efficient Java code for data processing and integration tasks. Experience with Java libraries commonly used in data engineering, such as Apache Kafka for streaming data. Extensive hands-on experience with Databricks for big data processing and analytics. Proficiency in Spark Data Frame and Spark SQL for data manipulation and querying. Familiarity with cloud-based data platforms like AWS or Azure. Excellent communication skills, both verbal and written, with the ability to convey technical concepts to non-technical stakeholders effectively. A strong inclination to stay updated with the latest advancements in data engineering, Java, and Databricks technologies.