Big Data Hive Jobs

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DevOps Engineer  

JRD Systems - Bengaluru, Karnataka, India

data (Hive, Spark, Scala, HDFS), NetSuite, MicroStrategy, Talend, Power BI, Informatica, AWS, Azure, Automation etc. Responsibilities: Continuous Delivery - CI\CD with Gitlab and tools integration (eg

from: linkedin.com - 4 days ago

Machine Learning Operations Engineer  

goML - india

, Bedrock • Execution Paradigm – low latency/Streaming, batch and micro batch processing • Data platforms – Big Data (Hadoop, Spark, Hive, Kafka etc.) and Data Warehouse (Teradata, Redshift, BigQuery

from: linkedin.com - Yesterday

Vice President, Database Engineer II  

BNY Mellon - Mangalwar Peth, Pune, IN

ETL transformations and jobs using Py Spark and automating workflows using Orchestration tools like Airflow, Control-M Strong knowledge and experience of SQL, Python and Spark Experience with Big Data

from: adzuna.in (+1 source) - 4 days ago

Data Architect  

Tredence Inc. - , , India

processes ● Experience with Apache Kafka for use with streaming data / event-based data ● Experience with other Open-Source big data products Hadoop (incl. Hive, Pig, Impala) ● Experience with Open Source non

from: linkedin.com - Yesterday

Big Data Development Manager  

Mobileum - Bengaluru, Karnataka, India

+ years of experience in building and managing software engineering teams. 5+ years of hands-on programming experience in Java. Well familiar with Big Data technologies – Spark, Hadoop, Mahout, Pig, Hive

from: linkedin.com - Yesterday

Technical Lead  

Mobileum - Bengaluru, Karnataka, India

concepts, data structures, algorithms, multithreading, collections, concepts of garbage collection. • Conceptual understanding of Big Data concepts, relevant experience of minimum 2 years on Big Data

from: linkedin.com - Yesterday

Architect  

Mobileum - Bengaluru, Karnataka, India

in a product development organisation Hands-on experience in Java and Big Data tech stack – Apache Pinot/Druid/Hudi, HDFS, Hive, Presto, Flume, Storm, Kafka, Spark, NO-SQL databases is a must. Hands

from: linkedin.com - Yesterday

Senior Azure Data Engineer (3-9 years) - Navi Mumbai/Gurugram/Bangalore  

Jio Platforms Limited (JPL) - , , India

of a primary data engineering language (Scala, Python, or Java) with a strong foundation in OOPS and functional programming concepts Big Data Technologies : Hands-on experience with data processing frameworks

from: linkedin.com - Yesterday

Big Data Engineer  

TekJobs - , , India

.) · Comprehensive knowledge of the principles of software engineering and data analytics · Advanced knowledge of the Hadoop ecosystem and Big Data technologies Hands-on experience with the Hadoop eco-system (HDFS

from: linkedin.com - Yesterday

Senior Data Engineer  

Publicis Sapient - , , India

: • Overall experience of 5.5 years with Minimum 4 years of relevant experience in Big Data technologies • Hands-on experience with the Hadoop stack – HDFS, sqoop, kafka, Pulsar, NiFi, Spark, Spark Streaming

from: linkedin.com - Yesterday


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