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Proficiency in data engineering tools such as Databricks, Apache Spark, Delta Lake, MLflow, and SQL. Work with data engineering platforms and tools such as Databricks, Apache Spark, Delta Lake, MLflow, and SQL.
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Advanced knowledge of cloud computing technologies such as: Apache Spark, Azure Data Factory, Azure DevOps, Azure ML (Machine Learning), Hadoop, Microsoft Azure, Databricks, AWS, Google Cloud. Leverage a broad set of modern technologies - including Python, R, and Spark - to analyze and gain insights within large data sets.
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Demonstrates advanced functional knowledge of data visualization libraries such as matplotlib or ggplot2; knowledge of other visualization tools such as Microsoft Power BI and Tableau. ALTA is an established leader in IT Staffing and Services, for both government and commercial enterprises across the United States, specializing in Program & Project Management, Application Development, Cybersecurity, Data & Advanced Analytics, and Agile Transformation Services.
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Experience with distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka. Experience with distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka.
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Deep understanding of Apache Spark, Delta Lake, and their integration within the Databricks environment. Solid experience with SQL, Python, and Spark for data processing and transformation.
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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.
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Your expertise in ETL, DataBricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupiter Notebooks will be essential in ensuring efficient data processing and analysis. Job Responsibilities:- Design, develop, and implement end-to-end data pipelines, utilizing ETL processes and technologies such as DataBricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks.
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Familiarity with cloud-based platforms (e.g. AWS) and big data processing tools (e.g. Apache Spark) Proficiency in Python programming language, and expertise in relevant NLP and deep learning libraries and frameworks (e.g. TensorFlow, PyTorch, Spacy, langchain.
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Cloud Computing: Knowledge of cloud computing technologies such as Apache Spark, Azure Data Factory, Azure DevOps, Azure ML, Hadoop, Microsoft Azure, Databricks, AWS, and Google Cloud. Cloud Computing: Knowledge of cloud computing technologies such as Apache Spark, Azure Data Factory, Azure DevOps, Azure ML, Hadoop, Microsoft Azure, Databricks, AWS, and Google Cloud.
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Advanced knowledge of advanced techniques such as: dimension reduction techniques, natural language processing, sentiment analysis, anomaly detection, geospatial analytics, etc. Understanding of data models, large datasets, business/technical requirements, BI tools, statistical programming languages and libraries.
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Experience in Digital Design Tools, including Sketch, Figma, InVision, Visio, HTML, CSS (SCSS), iOS, Android, Design Systems, or Adobe Creative Suite Knowledge of Designing UI Elements for Transformation Products 2x a week in office , Desired Skills Experience in Visual Journalism or Studio Art Experience as a team lead or in building a team UI/UX Certifications , About Metronome, LLC Metronome is a spark that ignites passion for our customers and each other.
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Experience with scaling data across distributed data engineering and computing, including Apache Nifi, Airflow, Spark, Dask, or Luigi. Experience with SQL and database te chn ologies, including Elasticsearch, Solr, Impala, Kafka, HBase, Accumulo, Cassandra, Impala, Neo4j, ArangoDB, OrientDB, AWS DynamoDB, Redshift, PostgreSQL, MySQL, MariaDB, MongoDB, Oracle, or MSSQL.
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This position requires an active TS/SCI Clearance and will be an onsite role reporting to the Pentagon in Arlington, VA. What you will do Design, develop, and implement end-to-end data pipelines, utilizing ETL processes and technologies such as Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks.
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Minimum of 5 years of hands-on skills in Python, Apache Spark, Hive, Cassandra, Snowflake, Elastic, Lucene, DataBricks, Hadoop, Redshift, Scala, Java, or other relevant technologies in data engineering.
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Big Data Technologies:Distributed Computing: Tools like Apache Spark, Hadoop. Familiarity or experience with developing solutions for proposal within any of U.S. Government Agencies, to include but not limited to the following: Department of Transportation (e.g., FAA), NASA (including JPL), Department of Commerce (e.g., NOAA), or Department of Energy (e.g., HQ, NNSA.
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spark job Title: assistant in Springfield, VA
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