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Familiarity with data platforms and applications such as Databricks, Jupyter, Snowflake, Redshift, Airflow. Fluent in data exploration and visualization tools such as Looker and Tableau. Our team masters exploratory data analysis, advanced reporting, data modeling and visualizations that serve the dual purpose of driving business decision making and delivering fact-based actionable recommendations.
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AWS, Python, SQL, Terraform, Airflow, Docker, Kafka, AI, Data Platform, Start-Up, Data Engineering, GenAI. You will build a search engine that lets AI pull from adequate sources, build entire retrieval system with trillions of rows of data that are automated constantly with Airflow.
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Net Developer Azure Cloud Data Engineer Azure Databricks Azure Data Factory Azure logic App PowerBi Report Server Python. Azure Data Factory, Databricks, Data Lake, and Power BI.
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Strongly prefer experience building Data Lake & Data warehouse solutions using ETL,ELT pipelines on Databricks, Snowflake, Azure Data Lake etc. Provide technical expertise in the areas of design and implementation of Data Lake solution powered by Databricks on AWS cloud.
$195,800 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Working as part of the data engineering team, you are an expert on data pipelining and big data processing frameworks, have experience with working with various backend technologies and have a detailed working knowledge of core software engineering concepts, such as garbage collection, asynchronous processing, and data structures.
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Experience working with cloud based data warehouses like Google BigQuery, Redshift, or Snowflake. Create new reporting and dashboards, data infrastructure, and queries to track key marketing metrics across multiple data sources leveraging SQL, R/Python, Looker, Tableau, and other visualization tools; monitor for changes in trends, share insights and make recommendations.
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Ensure data governance principles adopted, data quality checks and data lineage implemented in each hop of the data. Strong experience programming with more than one of Java , Scala, Python, Large-scale data analytics tools.
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I worked extensively on POCs, Consulting Solutions, ETL Framework/ Clienthitecture, Big Data technologies, Talend Master Data management, Performance optimization, ETL techniques, pilot projects, SQL Views etc.
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Build robust data integration services using Java Spring Boot API and Azure cloud services and manage Collibra platform deployments and upgrades on cloud VMs. Experience in developing data integration services using Java Spring Boot API and deploying solutions on Azure cloud services.
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This video includes what you need to know as you navigate the journey in becoming a Customs and Border Protection Officer - Your Journey To Becoming A Customs & Border Protection Officer The video: Securing America's Ports of Entry emphasizes the importance of CBP Field Operations' frontline role in helping CBP accomplish its mission.
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Azure Databricks Data Engineer Professional Certificate is required. Knowledge of data cataloging, data lineage, and metadata management is also important. Azure Data Engineer: Design, implement, and maintain data solutions using Azure cloud services.
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Significant experience implementing advanced data and analytics solutions on a modern data platform (e.g., Dremio, Databricks, Snowflake) Please elaborate candidate's experience in implementing advanced data and analytics solutions on a modern data platform (e.g., Dremio, Databricks, Snowflake.
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The MAAP Social Worker is responsible for data entry in ACS and OCFS databases. Responsible for entering ongoing data in both ACS and OCFS databases. Open to learning how to use and interpret data to inform decision- making.
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Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more.
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Data modeling, pipelines, and analysis in SQL (e.g. Snowflake, BigQuery, Databricks, Redshift) Diverse experience building scalable solutions using cloud services (AWS) such as: Airflow, Kinesis, Cloudwatch, Github action, Lambda, SQS, SNS, ECS, ECR, Containerization using Docker: that support processes such as: code deployments, data collection, streaming, data transformation, workflow automation, orchestration.
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data entry jobs Company: Fresenius Medical Care in Brooklyn, NY
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