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At least one data integration/ETL/ELT technology (e.g., Qlik/Attunity Replicate , Qlik Compose, Streamsets, Nifi, Informatica, AbInitio , Talend or similar). Any one data warehouse or data lake platform (e.g., Snowflake , Teradata, Hadoop.
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Big Data Platforms : Experience with Databricks for big data processing and analytics. Certifications : AWS Certified Solutions Architect or AWS Certified Big Data – Specialty.
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Tredence focuses on last-mile delivery of powerful insights into profitable actions by uniting its strengths in business analytics, data science and software engineering. Identifies what methods (for example, analytics, big data analytics, automation) would provide a solution for the problem using tools and technologies like cloud technology (Snowflake, Azure), Big Data Technologies (Oracle, MySQL, Spark, Hive) etc.
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Expertise in a subset of the following: machine learning, object detection, image segmentation, computer vision, image processing, remote sensing, spectral science, neural models for autonomous vehicles/robotics, structure from motion (SfM), natural language processing (NLP), large language models, data fusion, change detection, and pattern of life analysis.
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Experience with cloud and modern data science tools and platforms such as Databricks MLFlow, GCP BigQuery, AWS SageMaker, Kubeflow, and Azure ML. Experience using data visualization tools such as Tableau, Qlik, or Power BI.
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In this role as a software engineer on our data team, you will play a key role in shaping how we collect, process, and utilize data from our drones, driving deeper insights into drone performance and customer usage.
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Design, develop, test, and maintain big data ETL's. Highly proficient in implementing and building practices around unit/integrating testing frameworks such as pytest, cucumber, etc on big data platforms.
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Manage, architect, and analyze big data in order to build data-driven insights and high-impact data models. Advanced knowledge of cloud computing technologies such as Apache Spark, Azure Data Factory, Azure DevOps, Azure Client (Machine Learning), Hadoop, Microsoft Azure, Databricks, AWS, Google Cloud.
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In business for more than 53 years, we excel in full-spectrum cyber, data collection & analytics, enterprise IT, systems engineering and software application development solutions that support national and homeland security.
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Fluid understanding of and working ability with data management software, geographic information systems (GIS) (e.g., CARTO or ArcGIS / ESRI), and relational database systems (SQL, Oracle Business Intelligence) or other data management, reporting and query tools.
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Tech Stack Optimization: You'll manage and optimize our tech stack, including Redshift, dbt, and BI tools, to keep our data accurate and accessible. Data Expertise: Strong skills in data modeling and ETL processes, particularly with DBT.
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Experience with Big Data ingest and processing technologies (e.g. ETL, Hadoop, Elasticsearch for Hadoop, SQL schemas and queries, Kafka, Spark) Software Engineer - Geospatial Data Management.
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Currently, we are looking for entry-level software programmers, Java Full Stack developers, Python/Java developers, Data Analysts/Data Scientists, Data Engineers, and Machine Learning Engineers for full-time positions with clients.
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The successful Data Engineer will work alongside the Data Architect, as well as a wider Agile team of Data Engineers, Software Developers, Network Engineers and Designers, to collaborate in the development of cutting edge cloud warehouse, that is sold exclusively within the financial sector.
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The Data Capture team for the Data organization within the DE&ET organization is in search of a Lead Software Engineer. The Data Capture team is seeking to grow their team of world class Software Engineers that share their charisma and enthusiasm for making a positive impact.
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data job Title: big data software Company: Apex Systems
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