Big Data Architect for Leading Telecom Company @ Live Connections

Job Description

• Proficiency in programming languages like Java/Scala is desired, along with a solid understanding of Big Data technologies such as Apache Pinot/Druid/Hudi, HDFS, Hive, Presto, Flume, Storm, Kafka, Spark, and NO-SQL databases.
• Experience in crafting and managing high-throughput, low-latency data platforms tailored for real-time analytics is highly valued.
• Familiarity with cutting-edge concepts including Parallel computing, In-memory computing, cache management, and resource optimization techniques is essential.
• Prior exposure to the telecommunications domain, encompassing GSM, 4G networks, and signaling systems, would be advantageous.
• Proficient in SQL programming, with expertise spanning predicate pushdown, Partitioning, Broadcast join, hash-join, indexing, data caching, and query persistence.
• Demonstrated ability to develop SQL applications capable of handling vast volumes of data at scale.
• Exposure to any MPP query engine like Athena or Presto would be a significant asset.
• Proven software engineering expertise, including a disciplined approach to design, testing, source code management, and CI/CD practices, is a must.

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Keyskills:   big data hdfs hive