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O Hands on expertise in developing data architecture for applications utilizing one or more database management systems (e.g. DB2 zOS, Cassandra, Couch, Oracle, MS SQL Server, PostgreSQL, Netezza, Hadoop, MapR) as appropriate.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Mandatory Skill Set: Apache Spark, Hive, Hadoop, BigQuery, BigTable, Cloud Composure, Dataflow, Google Cloud Storage, Python, SQL, Shell Scripting, Git. Data Processing: Design, develop, and maintain scalable and efficient data processing pipelines using technologies such as Apache Spark, Hive, and Hadoop.
Full-timeExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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Utilize data cleansing, data transformation, data preparation and statistical analysis techniques on Zelle Network's payment data, customer demographic data and customer behavior data using various components and structures of pySpark, Python, bash, SQL, and Hadoop programming in a time efficient manner.
InternExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Getting your hands-on modern technologies and big data tools, including Hadoop, Kafka, Cassandra, MongoDB, Hive, HBase, Impala, Sqoop, Flume, Oozie, Zookeeper, Pig, Cloud Computing, Spark, Scala.
ExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Lead ETL/ELT processes which include the development, refinement, and implementation of data loading and processing tools, including Snowflake, Airflow, Python, SQL, dbt, and shell scripts. Advanced proficiency with cloud analytical tools: Snowflake, Redshift, Hadoop, Spark, Kafka, etc.
RemoteExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
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Data Engineer: Big Data; ETL - Big Data / Data Warehousing; GCP; Hadoop / HDFS; Hive; PySpark; Python. Hands-on experience with programming using Python/Scala. Expert on Hadoop and Spark Architecture and its working principle.
ExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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GCP Java 1.6+, Spring Boot, Spring MVC, Hadoop , Hive, HDFS, Map Reduce, Spark Batch & Spark Streaming, Scala, Kafka. Hands on experience working on Hadoop ecosystem (Hadoop , Hive , HBase , PIg.
ExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Minimum 6 years of experience in creating robust enterprise-grade data engineering pipelines using SQL, Python, Apache Spark, ETL, ELT, Databricks Technology Stack, Azure Cloud Services, Cloud-based Data and Analytics platforms required.
Full-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Builds cloud data solutions using multiple technologies, such as SQL, Python, Data Lake (Databricks Delta Lake/or other), Cloud Data Warehouse (Azure Synapse), RDBMS, NoSQL databases. Experience in distributed data (structured, semi-structured, unstructured, streaming) processing techniques using Apache Spark, Hadoop, Hive, Kafka, and big data ecosystem technologies preferred.
ExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Mandatory Skill Set: Apache Spark, Hive, Hadoop, BigQuery, BigTable, Cloud Composure, Dataflow, Google Cloud Storage, Python, SQL, Shell Scripting, Git. Good to have Skill Set: CI/CD, Jenkins, Security and Networking, Scala, GCP Identity and Access Management (IAM.
Full-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Python, Spark, Hadoop, and Docker, with an emphasis on good coding practices in a continuous integration context. Python 3.6, Git for version control, deep learning (RNN, LSTM, Encoders, Embedders.
ExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
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Knowledge of the Financial reporting ecosystem will be a plus.5+ years of experience within Data Engineering/ Data Warehousing using Big Data technologies will be an add-on Expert on Distributed ecosystems Hands-on experience with programming using Core Java or Python/Scala.
ExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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1+ years of hands-on experience in building data science solutions and production-ready systems on big data platforms such as Snowflake, Spark, Hadoop Strong teamwork and communication skill Ability to write production-level code in Python Experience with Snowflake, Azure Databricks is a strong plus What is it like at Albertsons.
$109,700 - $142,580Full-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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This team is responsible for Global Customer Personalization products which including batch/real-time analytical, machine learning and modeling solutions using technologies such as Hadoop, Spark, HDFS, MapReduce, Hive, HBase, Python & Java. This young team has delivered industry leading products with many firsts in the organization.
ExpandApply NowActive JobUpdated 13 days ago
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