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Knowledge of ETL experience, Informatica along with Python experience and DevOps, Apache Spark/Shell Scripting. Connaissance de l'expérience ETL, Informatica avec une expérience Python et DevOps, Apache Spark/Shell Scripting.
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Sound knowledge of data flows, data architecture, data engineering /ETL and processing data. Data engineering / ETL pipeline testing and Automation. Relational and Non-Relational Databases such as MongoDB, Cassandra, CosmosDB.
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Database and Query Languages-Hortonworks Hadoop, Hive, and Pig; Solr; SQL Server; Teradata; MongoDB; ETL and data cleanup; MySQL. Experience working with noisy intelligence and operational data sets from multiple disparate sources to include unstructured, structured and sensor data in many disciplines such as all-source reporting, geographic information systems, biometrics reporting, imagery intelligence, signals intelligence, human intelligence, and open-source intelligence.
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Automate analyses and authoring ETL pipelines via SQL, Python, Airflow, Spark, Tableau, and similar and perform data quality validations. Data mining and database design experience (e.g., MySQL, ClickHouse, InfluxDB, Trino, REST API, or MongoDB, etc.
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Experience with ETL and pipeline orchestration tools such as SSIS, Azure Data Factory, Stitch, Panopoly, Talend, Kafka, Airflow etc. Proven experience as a Postgres, SQLServer, and/or MySQL Database Administrator (prefer all three) and NoSQL solutions such as MongoDB or Cassandra.
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Minimum 5 years of experience with ETL/ELT design and development using tools like IICS, AWS Glue, Talend, Databricks, Oracle Data Integrator (ODI) or equivalent. 6+ years of experience with SQL or NoSQL databases like Snowflake, Postgres, Oracle, MongoDB.
$143,500 - $179,960 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Experience must involve one (1) year of experience in the following: data pipelines, ETL (Extract, Transform, Load); data analysis; dashboard and visualization; data modeling; API; Pandas; Python; SQL; Java; MySQL; and MongoDB. Telecommuting permitted.
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ETL tools Teradata, MS SQL Server, Data Transformation Services (DTS) Export/Import, SQL Server Integration Service (SSIS), ADF, DataStage, Azure Synapse. Required Skills: MS SQL Server MariaDB SolarWinds DPA Index Tuning E-R Diagramming Data Normalization Backup and Restore Clustered Databases Query Optimization MongoDB PostgreSQL Database Tools: SQL Server Management Studio, Azure Data Studio, SQL Profiler, SQL Prompt.
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Preference for experience in one or more emerging big data technologies such as Hadoop, Cassandra, MongoDB and associated data integration tools like Kafka and Nifi. Experience with data visualization platforms like Microsoft Power BI or Tableau is also a plus.
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ODeveloping data pipelines, architecture, and data models using MySQL, MongoDB, DynamoDB (or similar database technologies), and modern data ETL platforms. oDeveloping iOS and Android mobile applications using either native development environments or multi-target frameworks (React Native, Flutter, Xamarin, Swift, Ionic, MAUI, etc.
$120,000 - $140,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience in building ELT/ETL processes using tools like dbt, AirFlow, Fivetran, CI/CD using GitHub, and reporting in Tableau. Possess advanced knowledge of SQL/NoSQL databases (such as Snowflake, Redshift, MongoDB.
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Skills: Stakeholder Management ETL Data Pipelines Effective Team Communication Product Management Data Engineering Data Management Master Data Management Agile Intelligence Community Client Engagement System One, and its subsidiaries including Joulé, ALTA IT Services, CM Access, and MOUNTAIN, LTD., are leaders in delivering outsourced services and workforce solutions across North America.
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Experience working with or general knowledge of Big Data or NoSQL database system (DynamoDB, MongoDB, Redshift, BigQuery, Azureetc) a plus. Knowledge and experience with ETL toolsets (i.e. SSIS, Talend, etc.
$70,000 - $110,000 a yearExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Experience in technologies such as Hadoop, Spark, Kafka, Redis, Cassandra, Pandas, Dask, Airflow, Apache Beam, MongoDb, Hive, Impala, Hazelcast, Athena, Presto. 3+ years of experience as a hands-on Data Engineer/Architect including ETL jobs, data pipelines, and Big Data analytics.
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Familiarity with various operating systems (e.g. Windows, UNIX) and databases (e.g. MySQL, DB2, SQL Server, Oracle, DynamoDB, MongoDB, Redshift etc. Must have experience working and building architecture/pipelines on AWS.Strong and in-depth understanding of Data Engineering Fundamentals Solid and in-depth knowledge of Cloud data management (AWS services)Good knowledge of database management and SQL, Informatica, Hadoop/Spark, and ETL tools.
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