Posted 17 June, 2026
554573
ClifyX
India
Full Time
Reference: 365_594563_26-00855
| Hours per Week | 45 | ||
|---|---|---|---|
| Total Hours | 5,274.00 | ||
| Flat Adjustments | 0.00 | ||
| Description: • At least 8+ years of experience and strong knowledge in Scala programming language. • Able to write clean, maintainable and efficient Scala code following best practices. • Good knowledge on the fundamental Data Structures and their usage • At least 8+ years of experience in designing and developing large scale, distributed data processing pipelines using Apache Spark and related technologies. • Having expertise in Spark Core, Spark SQL and Spark Streaming. • Experience with Hadoop, HDFS, Hive and other BigData technologies. • Familiarity with Data warehousing and ETL concepts and techniques • Having expertise in Database concepts and SQL/NoSQL operations. • UNIX shell scripting will be an added advantage in scheduling/running application jobs. • At least 8 years of experience in Project development life cycle activities and maintenance/support projects. • Work in an Agile environment and participation in scrum daily standups, sprint planning reviews and retrospectives. • Understand project requirements and translate them into technical solutions which meets the project quality standards • Ability to work in team in diverse/multiple stakeholder environment and collaborate with upstream/downstream functional teams to identify, troubleshoot and resolve data issues. • Strong problem solving and Good Analytical skills. • Excellent verbal and written communication skills. • Experience and desire to work in a Global delivery environment. • Stay up to date with new technologies and industry trends in Development. Location: Bangalore, Chandigarh, Chennai, Hyderabad, Pune | |||
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554573 | ||
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KRNK | BANGALORE | ||
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CH | CHANDIGARH | ||
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TN | CHENNAI | ||
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TELANGANA | HYDERABAD | ||
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Samir Jain | ||
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8+ | ||
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Spark & Scala | ||
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Spark Streaming, Hadoop, Hive, SQL, Sqoop, Impala | ||
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Banking | ||
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PreOB | ||
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10+ | ||
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Client specific BGV | ||
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Client specific BGV | ||
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Face to Face | ||
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Hybrid | ||
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General | ||
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General |
