Job Description

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: .

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• 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.

Sapiens International