Job Id: 23638110

Key Responsibilities:
• Provide strong hands-on in implementing data frameworks defined by the lead/architect.
• Ensure solutions implemented adhere to the appropriate architectural and data models in the systems. Utilize in-depth knowledge of technical and business domain concepts and procedures within own area and basic knowledge of other areas to resolve issues.
• Enforce industry standard SDLC best practices for effectively managing the codebase.
• Partner with other software engineers, dev-ops, and production support staff to deliver robust software solutions.

Skills:
• Extensive practical experience working with most if not all the technologies listed below
• Understanding of data structures and algorithms
• Big data development with hands-on experience with Spark programming
• Knowledge on HDFS, Impala, Sqoop, Hive, Spark, Spark Streaming and SQL engine
• Strong Knowledge in Java/Scala/Python programming languages
• Familiarity with Linux environment including scripting skills
• SDLC/Dev Ops - Git/BitBucket, CI/CD pipeline frameworks such as Jenkins, SonarQube, JIRA, Any secure coding toolkits

Knowledge & Experience:
• Proven engineering experience building robust, scalable, and maintainable applications. Ideally 8+ years of application development experience.
• 4+ years of hands-on experience in Big Data development on Java/Scala/Python using Spark, Hive on batch and real time processing.
• Expert knowledge of industry best practices and standards.

Competencies:
• Excellent oral and written English
• Ability to collaborate effectively in a large global team
• Ability to work well under pressure
• The candidate should be proactive and should be capable to research and find solutions to the problem.

Qualifications:
• BE/B.Tech or MCA
• Competencies

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Job Family Group:

Technology

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Job Family:

Applications Development

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Time Type:

Full time

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