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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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5+ years of software/data engineering experience (distributed data processing, data warehousing, data governance, Big Data, data variance, data privacy, and data quality.
$155,000 - $190,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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This role requires a deep understanding of big data technologies, particularly Apache Spark, as well as expertise in data engineering and analytics. Proven experience as a Technical Lead with a focus on Databricks and big data technologies.
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Minimum 5 Years of GCP experience working in GCP based Big Data deployments (Batch/Real-Time) leveraging Big Query, Big Table, Google Cloud Storage, PubSub, Data Fusion, Dataflow, Dataproc.
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Strong Experience with cloud-based data warehouses - e.g., Snowflake, Big Query, Synapse, RedShift, etc. Identify data needs for business and product teams, understand their specific requirements for metrics and analysis, and build efficient and scalable data pipelines to enable data-driven decisions across DICKs.
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Experience with the Big Data stack (HDFS, SPARK, MapReduce, Hadoop, Sqoop, Pig, Hive, Hbase, Flume, Kafka) as well as with the No-SQL (e.g. MongoDB, HBase, Cassandra) As a Data Engineering & Analytics practice lead you will be responsible for growth, business development and providing advisory and thought leadership on the provision of analytics environments leveraging Cloud based platforms, big data technologies, including integration with existing data and analytics platforms and tools.
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Position-Big Data Engineer. BigData -Spark,AWS-Redshift,Azure ADF,Azure-BI Developer,BI - SAP Hana,BigData -Cassandra,BigData -Flume,BigData -Hadoop,BigData -HBASE,BigData -Hive,BigData -Impala,BigData -MongoDB,BigData -Nifi,BigData -Scala,BigData -Spark,BigData -Sqoop,Cloud – DataBricks,Cloud – Snowflakes,Data-Dremio,GCP (Google Cloud Platform),BigData -Hadoop,BigData -HBASE,BigData -Hive,BigData -Pig,BigData -Sqoop,Perf testing - Apache Jmeter.
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Union County Public Schools (UCPS) is seeking a motivated and detail-oriented Remote Data Analyst to join our team. Job Title: Remote Data Analyst. Proficiency in statistical software (e.g., R, Python, SAS) and data visualization tools (e.g., Tableau, Power BI.
$148,700 - $165,800 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Knowledge of Snowflake, AWS, Kafka, Airflow, Data Dog or similar big data technologies. Leading Data Operations Team: Oversee the data operations team responsible for resolving incidents and issues in data ingestion feeds, master data management, reference data management, Cloud Data Warehouse and data products.
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NextPath Career Partners is currently seeking a Senior Data Engineer – Azure Big Data to join our client’s team. The post Senior Data Engineer – Azure Big Data (3757) appeared first on NextPath Career Partners.
$175,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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From making aircraft more electric, intelligent and integrated to building new software platforms such as Internet of Things, big data, artificial intelligence, and blockchain, there’s no better place to be right now than in digital.
$64,000 - $128,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with big data technologies (Spark, Clickhouse, Redshift, Snowflake etc.) Define data engineering standards and best practices and drive operational excellence. Proven success in communication with database users, software engineers and senior management to collect requirements, discuss data modeling decisions and define data engineering strategies.
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Hadoop/Big Data/Databricks Certifications. Performance tuning in Big Data environments, Spark, ADF, Snowflake. Understanding of Big Data technologies such as Spark, NiFi, Impala, Sqoop, Hive, and File formats like Parquet, AVRO, ORC, CSV, JSON.
$130,000 - $150,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Qualifications Has 3 or more years’ experience as a data scientist Is passionate about data and problem solving Has good communication skills and will be able to communicate with customers, product managers and colleagues Has fluent coding knowledge and experience in R, SQL, Python, C# Has deep knowledge in statistical and data mining techniques Has experience in predictive modeling methods and techniquesAdditional InformationVerisk Analytics is an equal opportunity employer.
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At least 2 years of hands-on experience with Azure, databricks and Hadoop distributed frameworks while handling large amount of big data using Spark and Hadoop Ecosystems. Strong understanding of databases and big data software technologies, specifically Azure and Databricks.
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big data remote jobs Title: data scientist Company: Cornerstone Building Brands in Phenix-city, Alabama
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