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Implement and deliver high quality DevOps solutions for our new state of the art AI model deployment and execution platform using technologies like Gitlab, ADO, Terraform to deliver services such as Databricks, Kubernetes, Postgres, Azure Data Factory, Azure Cognitive Search.
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Experience working with cloud or on-prem Big Data/MPP analytics platform (i.e. SnowFlake,Netezza, Teradata, AWS Redshift, Google BigQuery, Azure Data Warehouse, or similar). 3+ years' of experience with workflow management engines (i.e. Airflow, Luigi, Prefect, Dagster, digdag.io, Google Cloud Composer, AWS Step Functions, Azure Data Factory, UC4, Control-M.
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Collaborate with other Technologists within Teledyne FLIR on application of AI/ML to system level data fusion, e.g. combining CBRNE sensor outputs with other information in Augmented Reality/Virtual Reality (AR/VR) or other situational awareness modalities.
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Data Processing: Develop and implement data processing pipelines using Apache Beam, Apache Spark, or other suitable frameworks to transform and cleanse data for analysis. Data Integration: Integrate data from various sources into GCP using services like Cloud Storage, Cloud Pub/Sub, Dataflow, and BigQuery.
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Micro-batch streaming and continuous streaming process in Databricks for high latency, low latency and ultra-low latency of data accordingly by using inbuilt Apache spark modules. Strong hands-on expertise in building Data engineering solutions using Java, Apache Spark and Scala.
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This position will utilize various system tools to derive information from available data sources, such as Smart Meter systems (Neptune, Sensus, Clevest, Aclara, Metron water scope etc.) The Data Analyst will also assist the NJ Meter Shop planning team with developing daily / weekly job plans for the NJ Meter Shop. The role is to improve workforce productivity/efficiency by anticipating and eliminating potential delays through planning and coordination of manpower, scheduling and rescheduling of work, GPS monitoring and WorkForce Management (WFM) review.
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Familiarity with CI/CD tools (GitHub,Jenkins, UCD) and data storage solutions (PostgreSQL, MS SQL, AmazonRDS/Aurora, Databricks, Snowflake). As a AWS Data Architect,you will beresponsible for leading a team of data engineers in the development andmaintenance of scalable data pipelines and implementing solutions in graphdatabases and machine learning.
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5+ years of experience with Microsoft Big Data solutions with experience in SQL Server (2017 or higher), Azure SQL technologies (Azure Data Lake Gen2, Azure Databricks, Azure Databricks Unity Catalog, Databricks API, Databricks Row-level security, Databricks error logging, Azure SQL Server, and Azure Analysis Services), and a broad experience with related tools (CDC, Columnstore Index, In-memory Table, SSAS Tabular, DAX, T-SQL, SSIS.
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Experience with Azure products and services including Azure Data Lake Gen2, Azure Databricks, Azure Databricks Unity Catalog, Databricks API, Databricks Row-level security, Databricks error logging, Azure SQL Server, and Azure Analysis Services.
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Experience with more than one data cataloguing, data governance, data quality, data privacy and master data management (Informatica, Ataccama, Collibra, Alation, Global Ids, Big Id, etc.
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Responsible to analyze the trade / transaction monitoring alert from a trading platform and apply modern data science modeling techniques to predict future disputes & anomalies to proactively manage the risk.
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Work with large data sets and build metrics to provide meaningful insights to leadership around Clinical Outcomes, Revenue Cycle Management, Finance, Business Development, and Marketing. Proficient in Excel (data manipulation, vlookup, index match.
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Experience with cloud-based data solutions (e.g., Azure, AWS, or GCP), programming (e.g., Python, R), Linux systems, and big data technologies (e.g., Hadoop, Spark). Lead the transformative integration of modern data engineering practices with health informatics to define the next era of timely and effective public health strategies.
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Experience in Data Migration from RDBMS to Redshift/Snowflake cloud data warehouse. Design, build & deploy the data pipelines using EMR, EMR studio, Databricks, Spark, Pyspark and Shell Scripting.
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You are very skilled at using one or more BI tools (e.g. Tableau, Sigma, Looker), cloud data warehouses (e.g. Snowflake, Redshift, Big Query), data transformation frameworks (e.g. dbt), and data science tools (e.g. Python/Jupyter, Julia, R.
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data job in Secaucus, NJ
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