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SQL;MQ communication protocols;Analyzing requests and making recommendations to improve processes and controls;Eclipse, PDM, SDA, RLU, DFU, Hawkeye, FTP, SQL developer and putty;Change management software;Java, Python, VB Scripts, Linux, SQL developer, Stored procedures, PL/SQL and XML;Manhattan software and Agile environment; andMark Magic Label printing application.
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Applicants should also have a demonstrated understanding and experience using software and tools including big data tools like Kafka, Spark; relational SQL databases including Big Query or equivalent; workflow management and pipeline tools such as Airflow, and object function/object-oriented scripting languages including Scala, C.
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At least 3 years of experience managing Cloud Data Warehouse database technologies, such as AWS Redshift, Snowflake, Databricks or similar. Design, configure, and manage Data Warehouse Database Systems on Cloud (AWS Redshift, EMR HBase and Snowflake.
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Leverage Azure Hyperscale SQL Server knowledge to do performance tuning to have applications running at optimal levels to meet SLAs. Should have Snowflake knowledge to Leverage Snowflake’s Data Cloud and the latest advancements in data migration and customized solutions to build POCs and prototypes that demonstrate value to clients.
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Data mining/programming tools (e.g. SAS, SQL, R, Python) SAS, SQL, R, Python) Database technologies (e.g. PostgreSQL, Redshift, Snowflake. Data visualization (e.g. Tableau, Looker, MicroStrategy.
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Must be a strong SQL Coder with Data Mining Skills (Understands complex coding processes, i.e. joins-inner & outer, aggregating data, building temp tables, formatting data, and import & export processes.
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We are currently seeking a Data Technical Lead (Apache Spark, Pyspark and Databricks) to join our team in Dallas , Texas (US-TX) , United States (US). Proven experience as a Technical Lead with a focus on Databricks and big data technologies on Azure Cloud Platform.
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Skill in connecting PowerApps with various data sources like SharePoint, SQL Server, and RESTful APIs. Knowledge of implementing secure and compliant solutions, including data governance and privacy policies.
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Experience working with large datasets, pipelines, modern warehouse technologies(Snowflake), and data processing, analytical capabilities(Databricks)at real-time and batch. Experience working with large datasets, pipelines, modern warehouse technologies, and data processing (real-time and batch) at large scale.
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Strong hands-on skills in sourcing, cleaning, manipulating, and analyzing large volumes of data using distributed computing platform and visualization tools (Python, R, SQL, Spark, Hive, Tableau etc.
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Must have 10+ Years' ExperienceMust have experience in Digital e-commerce portalMust have RPA, chatbots and AI/MLMust have Gen AI toolsSkillset:Java/Spring boot, Angular, ReactJS, Oracle DB/SQL, GIT, Jenkins, OneJira, Kibana.
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Leading the design, build, migration, and testing of OneStream for multi-dimensional data models (dimensions, hierarchies, attributes); input template and report build; Data Integration and Extract Transform and Load (ETL) concepts; understanding of calcs (allocation, top-down spreading, currencies); and, workflow, data permissions and security.
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2+ years of experience working within data warehouse tools such as RedShift and BigQuery (both will be used in this role at PMG), and the ability to work interchangeably within the two. 2+ years of experience in pulling data from tools such as Tableau or Looker Studio for reporting purposes.
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Knowledge of Azure Synapse Analytics, Azure Data Lake, CosmosDB, Azure SQL, Azure Databricks or equivalent tools and technologies. As a Sr Data Engineer, you will be responsible in designing, developing and deploying solutions required to extract, transform, clean and move data from the business systems into the enterprise data lake, data warehouse, data marts and operational data stores on Azure cloud.
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Proficiency in SQL based data discovery, data conversion and advanced reporting techniques such as dashboarding and storytelling. Areas of responsibility include enterprise reporting tools including, but not limited to Crystal Reports, Tableau Desktop and Server, Cognos Analytics, spatial analytics tools and enterprise data integration tools including, but not limited to Dell Boomi and IBM DataStage.
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pl sql data warehouse jobs in Dallas, TX
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