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Job Location: Bangalore/Bengaluru
• 3+ years of experience with big data processing frameworks like Hadoop, Spark, Kafka, etc.
• 3+ years of strong hands on experience in configuring and maintaining AWS cloud or GCP cloud services: EC2, EMR, RDS, Redshift, Dataproc, BigQuery
• 3+ years of experience in handling, analysing, and transforming large, disconnected datasets using Python and Pyspark.
• Experience with data pipeline and workflow management tool like Airflow
• Experience with stream-processing systems: Storm, Spark-Streaming, etc.
• Experience building and optimizing ‘big data’ data pipelines, architectures, and data sets.
• 3+ years of experience of working in data warehousing projects and must have good understanding of dimensional modelling. Prior working experience as an ETL developer is preferred.
• 5+ years of advanced SQL experience working with relational databases like Oracle and MS SQL Server.
• Strong analytic skills related to working with unstructured datasets.
• Build processes supporting data transformation, data structures, metadata, dependency, and workload management.
• Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
• Excellent knowledge of Linux, AIX, or other Unix flavors
• Deep understanding of Hadoop and Spark cluster security, networking connectivity and IO throughput along with other factors that affect distributed system performance.
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