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Deep understanding of one or more of the big data computing technologies such as Databricks, snowflake. Disaster recovery strategies for Databricks environments, ensuring data resilience and minimal downtime in case of failure.
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This architecture includes an Databricks, Microsoft Azure platform tools (including Data Lake, Synapse), Apache platform tools (including Hadoop, Hive, Impala, Spark, Sedona, Airflow) and data pipeline/ETL development tools (including Streamsets, Apache NiFi, Azure Data Factory.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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5+ years working with key open source big-data projects as a contributor or committer including Delta Lake, Apache Iceberg, Apache Hudi, Apache Spark, Apache Hadoop, Apache Flink, Apache Kafka, Apache Storm and Apache Hive.
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Design and implement distributed data processing pipelines using Spark, Hive, Python, Airflow, and other tools and languages prevalent in the Hadoop ecosystem. As a Sr. Big Data Engineer, you will work with a variety of talented teammates and be a driving force in technical initiatives that will accelerate analytics at Client.
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We are currently seeking a Data Technical Lead (Apache Spark, Pyspark and Databricks) to join our team in Dallas , Texas (US-TX) , United States (US). Proven experience as a Technical Lead with a focus on Databricks and big data technologies on Azure Cloud Platform.
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Applicants should also have a demonstrated understanding and experience using software and tools including big data tools like Kafka, Spark; relational SQL databases including Big Query or equivalent; workflow management and pipeline tools such as Airflow, and object function/object-oriented scripting languages including Scala, C.
ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Architect and drive the end-end Big Data deployment automation from vision to delivering the automation of Big Data foundational modules (Cloudera CDP), prerequisite components and Applications leveraging Ansible, Puppet, Terraform, Jenkins, Docker, Kubernetes to deliver end-end deployment automation across all ServiceNow environments.
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Job Title: Sr. Big Data Developer. Job Description : 8+ years of extensive IT experience with multinational clients working in diverse fields of software development lifecycle with experience in Big Data/Hadoop Ecosystem.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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We are looking for self-motivated Big Data architect to drive innovations on technology interoperable platforms with Hadoop (MapR, Cloudera, HortonWorks, EMR, HDInsight etc.) Focus on competency development on technology areas such as Hadoop & associated frameworks, Big data appliances, in-memory, NoSQL DBs (such as HBase, MongoDB, Cassandra.
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This role will provide expertise to support the development of a Big Data / Data Lake system architecture that supports enterprise data operations for the District of Columbia government, including the Internet of Things (IoT) / Smart City projects, enterprise data warehouse, the open data portal, and data science applications.
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Experience with big data technologies such as Snowflake, Hadoop, Spark, Airflow, or Flink. Familiarity with data warehousing concepts and schema design principles (e.g., Star Schema, Snowflake Schema.
ExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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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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Experience in large scale cloud data migrations using Snowflake, Python, Spark, SQL, Databricks. Technology|Analytics - Packages|Python - Big Data, Technology|Cloud Integration|Azure Data Factory (ADF), Technology|Data on Cloud-DataStore|Snowflake.
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Exp designing and delivering data engineering solutions with Databricks Exp in Azure Databricks Experience in Data Engineer in zure Big Data Environment Expertise in ETL tools i.e. (Infomatica, Talend, SSIS, Data Stage) Expertise in Implementing Data Warehousing Solutions Exp with working in Agile (KANBAN, Scrumban) environment Exp in zure stack ( zure Data Lake, zure Data Factory) Exp in Scala or Python, T-SQL.
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Experience with Big Data platforms such as Databricks or Apache Spark. Experience with data streaming infrastructure deployment (e.g., Spark Streaming, Kafka, Azure EventHub, or EventBridge.
$66,000 - $185,000Full-timeExpandApply NowActive JobUpdated 4 days ago
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