Search and apply on Mapreduce open jobs posted on Toogit. Apply for more than 7 curated remote Mapreduce jobs. Work from home or remote places around the world.
Posted at 6 days ago
Strong technical exposure such as Hadoop, Unix, Unix Scripting, SQL, Hive, Impala, Python, AWS Solid programming knowledge on Python
Apply On This JobPosted at one month ago
Data engineer* Hands on installation and configuration experience with Apache Kafka, Spark, EMR, Apache airflow * Hands on python skills related to data engineering, ETL, workflow management * Experience with Streaming Technology (Flink)* Familiar with AWS Kinesis, Elasticsearch, Spark, Hadoop, Hive, Presto, Athena, Glue, Spect...read more
Apply On This JobPosted at one month ago
We are looking for a freelancer who has proven experience in Data Engineering projects.The requirements we are looking for:- Experience with Python- Experience creating ETL workflows- Experience with Big Data tools (eg: Hadoop, Cassandra, Kafka)- Experience with Data Warehousing solutions for data volumes in the millionsThe chal...read more
Apply On This JobPosted at 2 months ago
1. Sourcing data from multiple system into different file formats.2. Ingesting the extracted data into hadoop cluster (csv, xml, json, fixed width etc)3. Using mapreduce, pig to transform the data and load it into mpp.4. Stitch all above into one process using schedulers.
Apply On This JobPosted at 4 months ago
We're looking for an experienced and reliable engineer who possesses a solid mixture of DevOps and back-end skills to join our remote team and help build high quality products and tools. You should have plenty of experience in setting up secure application servers, developing back-end systems, administering cloud based platforms...read more
Apply On This JobPosted at 5 months ago
Help me writing a simple Map Reduce Job with custom partitioner and Secondary sort. I will provide the data.
Apply On This JobPosted at 9 months ago
1. Sourcing data from multiple system into different file formats.2. Ingesting the extracted data into hadoop cluster (csv, xml, json, fixed width etc)3. Using mapreduce, pig to transform the data and load it into mpp.4. Stitch all above into one process using schedulers.
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