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Traditional RDBMS (Teradata, Netezza, MS SQL Server, Oracle, MySQL, PostgreSQL) At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you.
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Experience with one or more SQL-on-Hadoop technology (HIVE, Presto, Spark SQL, Databricks) and Hadoop ecosystem. Hands on experience in data engineering desired with extensive knowledge of SQL and PySpark, on Databricks Platform.
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Role will require a high level of proficiency in SQL. What you’ll do: Support our sales organization by providing valuable insights from a myriad of data sources including usage logs, analytics platforms, ad delivery reports and 3rd party research.
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ETL tools Teradata, MS SQL Server, Data Transformation Services, Oracle SQL Developer, SQL Server Integration Service (SSIS), ADF, DataStage, Azure Synapse. Reporting tools SQL Server Reporting Services (SSRS), Power BI Additional Databases: Azure SQL Database, SQL Server Analysis Service (SSAS), EDW, EDL DevOps, Azure Blob, Azure Data Lake, Synapse, AWS, S3, GCP, Azure Functions.
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Teradata/Oracle, Informatica/ AbInitio/ Datastage, Hadoop, Hive, Apache Spark, Cloud Pub/Sub, Cloud Spanner, Cloud SQL, Data Fusion. SQL, Python, PySpark, GCP, BigQuery, Cloud Dataproc, Cloud Composer, Cloud Dataflow.
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Identifying and incorporating tools and techniques using technology applications (e.g. Microsoft SQL Server, ACL, Access/Excel, Visual Basic, R, Python, SAS, Stata, Alteryx) and build reporting capabilities through data visualization (e.g. Tableau, Spotfire, Qlikview, Einstein Analytics.
$48 an hourFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Knowledge of network concepts (TCP/IP, DNS, firewall, NAT, VPN) and web servers (IIS, SQL, Apache, Nginx, Envoy). Soni is currently looking for a DevOps Manager to join our client in New York City. As a DevOps Manager you will oversee cloud infrastructure, focusing on Microsoft Azure, Kubernetes, Microservices, Microsoft 365 SaaS, and Citrix Cloud.
$180,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Expert knowledge of Azure Data Factory, Azure Databricks, Azure SQL Database, and other Azure data services. Manage data ingestion from multiple sources into Azure Blob Storage, Azure Data Lake, and Azure SQL Database, ensuring data integrity and availability.
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Knowledge of and experience with any of the following products/technologies: CCH Tagetik, OneStream, Anaplan, Host Analytics, Board, Longview, Hyperion,HFM, SAP BPC, IBM Cognos, SQL, Oracle Databases and other analytics tools (Qlik, Tableau, Smartview, SAP SAC.
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Proficient programming skills such as Python, R, SQL, C/C. Drive best practices for ML development and validation, code reviews, and documentation. Follow Agile, ML best practices and company’s processes.
$305,300 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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Expertise in two or more data estate workloads like Microsoft’s Data & AI Platform (Azure Synapse Analytics, Azure Databricks, CosmosDB, Azure SQL, HDInsight, etc.) Applies role orchestration model and navigates the Microsoft organization to bring the best impact to the customer.
$235,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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AWS, Python, SQL, Terraform, Airflow, Docker, Kafka, AI, Data Platform, Start-Up, Data Engineering, GenAI. You will build out the AWS-based cloud infrastructure using Python, Docker, Terraform, Kafka, Airflow and SQL.
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2+ years of experience using analytic SQL, working with traditional relational databases and/or distributed systems (Snowflake or Redshift), required. Familiarity with Agile Scrum principles and ceremoniesPreferred Qualifications 2+ years of work experience implementing and reporting on business key performance indicators in data warehousing environments, exposure to reliability engineering best practices a plus.
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Working knowledge or coursework in data science and knowledge of data science languages such as R, SQL, and Python. Reporting to the Senior Director, Media this role will focus on day-to-day reporting and analytics support of paid media activations to drive awareness, consideration and conversions across new and returning customers, including Paid Social, Paid Search, Affiliates, Display, CTV, OOH.
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sql best jobs Title: analytics consultant in Queens, NY
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