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Required 10 Years Hands-on experience with Azure services such as Azure Data Factory, Azure Databricks, Azure Data Lake Storage, Azure SQL, Azure Synapse Required 5 Years Hands-on experience in SQL Server (SSIS, SSRS, SSAS), ORACLE, T-SQL Required 10 Years Hands-on experience in Azure SQL Database, Azure SQL Datawarehouse Required 7 Years Hands-on experience in deploying and maintaining large-scale data processing pipelines.
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Expertise with Google Cloud Platform’s distributed Machine Learning, Data Science and Data Engineering tools (e.g. BigQuery ML, VertexAI, AutoML, Docker, Kubernetes, Kubeflow, Dataproc) Strong analytical mindset with expert knowledge of SQL and BigQuery, as well as BI tools such DataStudio and Looker (LookML) to implement business reports and BI solutions.
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Deep understanding and experience with advanced analytics, Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP) or Computer Vision (at least 3 of these areas) As a Data Scientist, reporting into the Head of Data & Strategy at TRKKN North America (NA), you’ll focus on building scalable machine learning and AI products to help evaluate and optimize the business impact of our clients’ marketing investment.
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Python ecosystem preferred, R will be acceptable, machine learning libraries & frameworks (e.g. TensorFlow, PyTorch, scikit-learn) and familiar with data processing and visualization tools (e.g., SQL, Tableau, Power BI.
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Job Title: ETL Ab Initio Data Validation Engineer (SDET) Primary skills: Ab Initio, Pyspark, Hive Iceberg on Azure Datalake (ADLS) or Iceberg on Snowflake Database and OS: Oracle, DB2, SQL, Data Warehousing, Linux About the job We are seeking a highly skilled ETL Ab Initio Validation Engineer with expertise in Ab Initio and Snowflake or Azure Datalake to join our dynamic team within our organization.
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Should possess ability to work with a variety of software to include but not limited to SQL Server Integration Services Azure Data Factory Microsoft SQL Server Reporting Services Data studio Databricks and can work with a variety of languages and data formats such as parquet and json.
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KEY QUALIFICATIONS: Python, SQL Data processing, ML experience Data Warehouse knowledge ETL pipeline knowledge Data Engineering Data Science Data Analytics, Data Mining PLEASE HAVE KNOWLEDGE OF ONE OR MORE OF THE FOLLOWING TECHNICAL SKILLS: Kubernetes, Tableau, PowerBi MongoDB Microsoft Cloud Services like Azure and AKS Snowflake SQL Server data platform Software development (including design, implementation, testing, and change management.
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Technical Proficie ncy: Proficient in Allen Bradley (Rockwell Automation) PLC/HMI/SCADA, Fanuc Robot Arms, MES, Historian Server, and SQL Database solutio. Remote and Flexible Wo rk: Be available to work on PLC/HMI/SCADA/Server/Electrical applications at any time, including nights, weekends, or holidays, aligned with production downtim.
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Skilled in developing complex SQL Server PL/SQL, Stored Procedures, and ETL frameworks, with a strong grasp of data warehousing and cloud computing concepts. Hands-on experience with database programming, Azure DevOps, Azure SQL, SQL performance tuning, data modeling, and ETL job scheduling.
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Experience in ETL, SQL, Informatica, Power exchange, Databases like SQL server, DB2, Oracle. Design and build robust, scalable solutions and data pipelines to automate the ingestion, processing and delivery of all types of data: structured and unstructured, batch, and real-time streaming data.
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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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You have experience with or are well aware of technologies such as: AWS Cloud Capabilities such as VPC, Lambda, S3, IAM, Subnets, Cloud formation, Docker, etc., Kubernetes, Micro Services, React, Kafka, Java, C#, Relational Databases: SQL Server, Oracle, PostgreSQL, No-SQL / MongoDB; Tomcat, IIS, Spring MVC.
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DC Water is seeking a contract or contract-to-hire IT professional to assist with Power BI and SQL Server reports execution, data validation and performance improvement. Experience in developing programs related to data transfer across multiple systems using SQL Server procedures, functions, and related development tools.
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Top Skills & Years of Experience: Resource must have a high level of SQL query writing skills to write complex queries to pull data from a Sybase and MS SQL Server database - 10 years.
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We are seeking a highly skilled Data Architect with extensive experience in Snowflake, Data Build Tool (dbt), Snaplogic, SQL Server, PostgreSQL, Azure Data Factory, and other ETL tools.
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sql server data processing jobs Title: data engineer Company: Dice in Pelham, New Hampshire
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