Cloud Hadoop Jobs in Nagpur
WorkiFicient - Nagpur, Maharashtra, IN
, Synapse, Databricks experience a plus. - Experience in other cloud platforms like AWS a plus - Exposure with Big Data design, development and related technologies: AWS/Redshift, Hadoop, HDFS, along
from: adzuna.in - 7 days ago
WorkiFicient - Nagpur, Maharashtra, IN
/change the downstream applications as needed. - Microsoft Power BI, No SQL, Synapse, Databricks experience a plus. - Experience in other cloud platforms like AWS a plus - Exposure with Big Data design
from: adzuna.in - 11 days ago
Remote, India
Pub/Sub, Cloud Functions, DataFlow, DataProc (Hadoop, Spark, Hive), Cloud Machine Learning, Cloud Data Store and BigTable, BigQuery, DataLab, and DataStudio. Proven experience in migration databases Not Mentioned
from: Monsterindia.com - 26 days ago
Remote, India
Prefer any of the following: Production experience in core data platforms: Snowflake, AWS, Azure, GCP, Hadoop, Databricks Cloud and Distributed Data Storage: S3, ADLS, HDFS, GCS, Kudu, ElasticSearch/Solr Not Mentioned
from: Monsterindia.com - 7 days ago
Remote, India
experience in Oozie, the Apache Hadoop ecosystem, Airflow, and a solid understanding of public cloud technologies, especially GCP. This role involves working in a remote environment, requiring excellent Not Mentioned
from: Monsterindia.com - 30 days ago
Remote, India
and efficiencies and have evidence of where you have done this before. Other key skills we are looking for you to demonstrate include; Hands on experience of Python and SQL Exposure to developing in a cloud platform Not Mentioned
from: Monsterindia.com - More than 30 days ago
Remote, India
, Kafka, Kinesis, DataFlow, Flink, Hadoop, Pig, Hive, and Spark. Expertise in public cloud services, particularly in GCP. Experience with GCP managed services and understanding of cloud-based messaging Not Mentioned
from: Monsterindia.com - More than 30 days ago
Remote, India
to distributed production systems i.e Hadoop is a huge plus Knowledge and exposure to Cloud migration is a plus Willing and able to work East Coast US hours (9am-6pm EST); you can work remotely Willingness Not Mentioned
from: Monsterindia.com - More than 30 days ago
Remote, India
, Hadoop, or Databricks Production experience working with Cloud and Distributed Data Storage technologies such as S3, ADLS, HDFS, GCS, Kudu, ElasticSearch/Solr, Cassandra or other NoSQL storage systems Not Mentioned
from: Monsterindia.com - 7 days ago
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