Posted:19 hours ago|
Platform:
Hybrid
Full Time
This is a hands-on leadership role requiring both technical expertise and people management skills to guide a growing team and ensure delivery of high-impact data solutions.
3+ years of Big data development experience with working proficiency in Java/Scala
Python to write data pipelines and data processing layers.
Strong in Data Structures & Algorithms, Analytical, and problem-solving skills. Proficiency in Python with exposure to any web frameworks. Proficiency with Spark, Hadoop v2, MapReduce, HDFS. Experience with building stream-processing systems, using solutions such as Storm, orSpark-Streaming. Experience with the integration of data from multiple data sources. Experience with SQL, NoSQL databases. Experience with various messaging systems, such as Kafka, or RabbitMQ. Experience with confluent packages like Kafka connect, schema registry. Experience with Cloudera/MapR/Hortonworks. Experience with AWS big data solutions like GLUE,Redshift,Lakeformation. Experience in Data Lake platforms like Hudi,Iceberg or Delta. Good knowledge of Big Data querying tools, such as Pig, Hive or Impala Knowledge of various ETL techniques and frameworks, such as Flume.
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