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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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5+ years of experience with Distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka. 5+ years of experience with data warehousing, including DataBricks Lakehouse or Snowflake.
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We are seeking an experienced Data Scientist/Data Analytics candidate to become part of Peraton's Department of State (DoS) Diplomatic Security Cyber Mission (DSCM) program providing leading cyber and technology security experience to enable innovative, effective and secure business processes.
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Strong expertise in Apache Spark, Delta Lake, and other Databricks components for data processing and analytics. Work closely with our data engineering team to ensure that our Databricks platform is optimized for performance, scalability, and reliability.
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Familiarity/experience with various data formats including database specific (Oracle, SQL Server, DB2, Quickbase), text formats(CSV, XML) and Binary(Parquet, AVRO) Strong knowledge of Extraction, Transformation and Loading (ETL) processes using frameworks like Azure Data Factory, Synapse, Databricks, Informatica by gathering requirements from the stake holders or analyzing the existing code and perform enhancements or new development.
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Conduct interviews with client stakeholders to assess current metadata management and data governance capabilities and refine use cases associated with metadata management, taxonomy, and ontology development.
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Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake. 4+ years of data warehousing experience (Redshift or Snowflake.
$7 - $11ExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Experience with Informatica Tools Suite (EDC, Axon, IDQ) Data Management, and/or Data Governance Solution Architecture. Experience with data management, data lakes, data warehouses and specifically DataBricks.
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Rating: Your application will be evaluated in the following areas: Data Analysis and Interpretation Financial and Economic Analysis Communicating Technical Information Your application will be rated and ranked among others, based on your responses to the online questions regarding your experience, education, training, performance appraisals and awards relevant to the duties of this position.
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They also use and advise on such tools as machine learning, natural language processing, web scraping, big data platforms, and data visualization techniques and their application to relevant public policy issues.
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Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Oversee the application of AI and data science techniques from disciplines, such as computer science, computational science and methods, statistics, econometrics, data optimization, and data visualization.
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1+ year of experience in data engineering using open-source technology stack along with cloud computing (AWS, Microsoft Azure, Google Cloud) 1+ year Experience working with Cloud Data Warehouse solutions (i.e., Snowflake, Synapse, Redshift.
$72,000 - $185,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Familiarity with Data visualization tools such as Tableau, and Power BI. Knowledge and experience working with data frameworks (e.g. Apache Spark). Experience with data pipeline tools (e.g. Glue, Apache Airflow, Lambda.
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5+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) The team tackles problems of massive scale, with a critical data footprint that has bottomline business impact, resiliency & availability requiring the best techniques within Big Data Analytics and Machine Learning, all while providing a superior analyst experience on our tools.
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3+ years of data engineering experience with modern big data analytics architectures (Hadoop, SQL, HIVE, Spark, Snowflake, etc.) Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms.
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apptio data jobs Title: financial in Mclean, VA
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