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Good knowledge and Proven practical experience in migrating relational data base from on-prem to cloud OR to build cloud-based data lake using either Big Data / Azure Synapse / Databricks / Snowflake.
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Client Corporation is currently seeking an experienced Data Engineer - Big Data individual for their Midtown office in Atlanta, GA. The successful candidate must have Big Data engineering experience and must demonstrate an affinity for working with others to create successful solutions.
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Big Data Engineer: Various levels (Principal, Lead, Senior, Intermediate, Junior) 3+ years of experience with Big Data tools/technologies like Hadoop, Spark, Spark SQL, Kafka, Sqoop, Hive, S3, HDFS, or.
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Big Data Engineer. 5+ years of experience in building data engineering solutions utilizing AWS services (S3, Kinesis, Lambda, Glue, SNS) or Data platforms like Databricks/Cloudera.
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Experience in data integration and building complex ETL pipelines using ETL tools, including Informatica, Datastage, Clover DX, AWS Glue, Knime. Maintain, support, and develop within the HR Data Mart Snowflake instance, including code build/review, auditing, performance tuning, and security.
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Familiarity with Big Data technology in cloud and on-premises environments: Hadoop, HDFS, Spark, NoSQL Databases, Hive, MongoDB, Airflow, Kafka, AWS, Azure, Dockers or Snowflake. We are a premier IT consulting firm specializing in delivering top-tier Big Data solutions to companies across various sectors such as.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Minimum 2 years of experience in development using Data warehousing, Big Data Eco System Hive (Hql) & Oozie Scheduler, ETL IBM Data Stage, Informatica IICS with Teradata 1 Year experience of deploying google cloud services using Terraform.
$45 - $50 an hourFull-timeExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
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Skills: Name Required Experience Bachelor's degree Yes CA7 mainframe Yes 6 + Years DSP (Data Streaming Platform) - Kafka Confluent Yes 6 + Years Hadoop Big Data Engineer with PySpark, HQL, Python skills Yes 6 + Years Hadoop Platform utilities - Hive,Oozie, Yarn, Impala, HDFS, Hbase- Hue, Beeline Yes 6 + Years Python and Shell Programming (PySpark) - Python 2.7, 3.0 Yes 6 + Years.
ExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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Experience with real-time data processing and streaming techniques using Spark structured streaming and Kafka. The candidate will participate in all phases of the Data Engineering life cycle and will independently and collaboratively write project requirements, architect solutions, and perform data ingestion development and support duties.
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Hadoop Big Data Engineer with PySpark, HQL, Python skills. DSP (Data Streaming Platform) - Kafka Confluent. Python used for all data engineering tasks like ingest, etl and aggregation.
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Expertise in Cloudera Big Data Technologies, including Cloudera Distribution of Hadoop (CDP), Apache Hadoop, Apache Spark, Apache Hive, Apache Impala, and Apache HBase, with hands-on experience in deploying, configuring, and optimizing these technologies for large-scale data processing and analytics.
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AT&T Services, Inc., is seeking a Professional Big Data Engineer in Dallas, TX [and various work locations throughout the U.S.; may work from home] to define data requirements, gather and mine large scale of structured and unstructured data, and validate data by running various data tools in the big data environment.
$130,270 - $210,100 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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3+ years Hands-on experience building, testing, and optimizing ‘Big Data’ data ingestion pipelines, architectures and data sets. 3+ years hands-on experience with high-velocity high-volume stream processing: Apache Kafka and Spark Streaming (A. Experience with real-time data processing and streaming techniques using Spark structured streaming and Kafka B. Deep knowledge of troubleshooting and tuning Spark applications.
ExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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Experience with in big data technologies like Hadoop, Apache Spark (Scala preferred), Apache Hive, or similar frameworks on the cloud (GCP preferred, AWS, Azure etc.) You will identify possible options to address business problems within one's discipline through analytics, big data analytics, and automation.
$117,000 - $234,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Utilize Databricks for big data processing and streaming analytics. Experience with big data technologies, such as Apache Hadoop, Spark, Kafka, and others. The ideal candidate will have a strong background in big data analytics, data engineering, and cloud computing, with a focus on building and optimizing data lakes on AWS. The Cloud Big Data Expert plays a crucial role in designing, implementing, and managing advanced data solutions using both AWS and Data Lakehouse platforms.
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big data jobs Company: Enterprise Mobility in NE, Germany
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