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Perform analytics on structured and semi-structured data using PySpark, Spark SQL queries, operations, Joins, tuning queries and UDF. Integrate cloud data lakes with downstream cloud provider visualization and analytics tools: Power-BI. Implement several design patterns, make code robust and highly scalable, and use high performance data structures to make applications to perform quickly and efficiently.
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1 years of working knowledge with various architectural design patterns (UDF, MVVM, MVC). The Android Developer will contribute to the design, development, documentation, and troubleshooting of Client Honor Android Application and related components in collaboration with other engineers and business stakeholders using Java / Kotlin.
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Experience/ working knowledge with various architectural design patterns (UDF, MVVM, MVC) Experience/ working knowledge with various architectural design patterns (UDF, MVVM, MVC) Comments for Suppliers: Jetpack compose, Kotlin Junior Android Dev.
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Must have experience with NoSql Databases like HBASEMust have experience with developing Pig scripts/Hive QL, SQOOP, UDF for analyzing all semi-structured/unstructured/structured data flows. Must demonstrate expertise in data migration best practices from on-prem to Cloud with technologies like Hadoop and Azure cloud with Databricks platform.
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