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Expertise in using specific tools data science tools/languages such as R, Tableau, Python Spark, and Qlik. Expertise in using specific tools data science tools/languages such as R, Tableau, Python Spark, and Qlik.
Full-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Develop and use data processing technologies (e.g., Python, SPARK, Java, SQL, Jenkins, PyPi, Terraform, Cloudera, ElasticSearch, Pentaho, Apache NiFi, Apache Hop) to perform data processing, and to develop, validate, and use methodologies to support analytic requirements in Clustered Computing environments.
Full-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Develop and optimize data processing workflows using PySpark Unix Spark in Scala. We are seeking a highly skilled Sr. Developer with 6 to 8 years of experience specializing in Spark in Scala Amazon S3 and PySpark.
Full-timeExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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Familiarity with graph querying tools such as Apache Tinkerpop Gremlin, Apache Spark Graphframes, or graph databases. San Francisco, California (Hybrid On-Site): $174,900 - $199,700 for Senior Machine Learning Engineer.
Full-timeRemoteExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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This architecture includes Databricks, Microsoft Azure platform tools (including Data Lake and Synapse), Apache platform tools (including Hadoop, Hive, Impala, Spark, Sedona, and Airflow), and data pipeline/ETL development tools (including Streamsets, Apache NiFi, Azure Data Factory.
$141,000 a yearExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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MySQL, PostgreSQL, MongoDB, AWS (S3, Redshift, EMR, Lambda, SageMaker), Hive Apache Spark, Airflow, Hadoop, Jenkins, Tableau, Git, HuggingFace. MySQL, PostgreSQL, MongoDB, AWS (S3, Redshift, EMR, Lambda, SageMaker), Hive Apache Spark, Airflow, Hadoop, Jenkins, Tableau, Git, HuggingFace.
Full-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Experience with Data Ingestion/ streaming tooling such as ADF (Azure Data Factory), Kafka, Five Tran, Spark, or similar technologies. Advance experience with developing Data Pipeline, ETL/ELT, utilizing tooling of Big Data Platform, Datalake, Synapse, Airflow, AirByte, Snowflake.
ExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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The CLS Program, through its CLS Spark initiative, also provides beginner-level virtual instruction for Arabic, Chinese, Korean, Japanese, and Russian for competitively selected U.S. undergraduate students whose home campuses do not offer these languages.
ExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Your expertise in ETL, Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks will be essential in ensuring efficient data processing and analysis. High level of proficiency in ETL processes and demonstrated, hands-on experience with technologies such as Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks.
Full-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Databricks or Spark Experience a plus. Knowledge of AuthN and AuthZ systems, including Active Directory, Okta, and AWS IAM Policies/Roles using attribute-based access controls. Databricks or Spark Experience a plus.
Full-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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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.
Full-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Work with all levels of technology, including the Azure data platform (ADLS, ADF, Azure SQL, Databricks, Spark); Work with all levels of technology, including the Azure data platform (ADLS, ADF, Azure SQL, Databricks, Spark.
Full-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Position Description: 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.
Full-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Key Skills; Data Engineer - Scala, Python, Spark, Databricks. Unit/Integration testing for Scala/Spark applications. Pull Request (PR) reviews of Scala/Spark. Development on Scala/Spark application.
Full-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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5+ years of experience with event-based data movement, Spark, and Big Data repositories (including Snowflake, data lakes) Utilize programming languages like Java, Python, SQL, Node, Go, and Scala, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
Full-timeExpandApply NowActive JobUpdated 14 days ago
spark job in Glen Echo, MD
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