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Strong proficiency in R, Python, SAS, Visual Studio SSIS and MS SQL Server. Build and run data queries from multiple systems and prepare data to be used as input for quantitative models and report generation using Visual Studio SSIS and MS SQL Server.
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Strong proficiency in SQL concepts, Presto SQL, Hive SQL, Python (Pandas, NumPy, SciPy, Matplotlib), Scala and Spark to handle large volumes of data. Experience in the use of various relational databases like Oracle, DB2, SQL Server and NoSQL databases like MongoDB, Cassandra.
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Develops and supports Computer Assisted Audit Techniques and Tools (CAATTs) primarily using Python, SAS, SQL, Teradata, Oracle, Hive and Tableau. 5-8 years of relevant experience with 5+ years of experience in a related role with intermediate to advanced experience in Python, SAS, SQL, Teradata, Oracle, and Tableau.
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Proficiency in SQL Server, ETL, SAS, Microsoft Excel, VBA, Visual Studio, PowerBi, Python, or similar data or analytical toolsets. Leverages programming skills (SAS, SQL, ETL) to prototype usable data marts for the reporting group.
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The DevOps DBA Engineer is responsible for hands-on installing, configuring, scaling, and monitoring SQL Server infrastructure in AWS Cloud for global commercial software platforms. Proven history of SQL Server DBA in AWS.
$70,300 - $139,800 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Expertise in Python programming, SQL Server, Snowflake, and Cloud Technology (AWS S3, Lambda, SQS, etc.) Design, develop, and implement Python services within AWS Lambdas.
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Net, C#, Qlik, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Kinesis, QuickSight, SageMaker, S3, Databricks, AWS Lake Formation, Snowflake, Python, Qlik, Athena, Data Pipeline, Glue, Star Schema, Data Modeling, SQL, SSIS, SSAS, SSRS, PySpark, Microsoft Fabric, dbt, Linux, Terraform, Bicep, Data Ops, Purview, Git, Delta, Pandas, Spark SQL.
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Experience with SQL Server – PostgreSQL. A leader in the construction industry is looking for a FullStack Python Engineer to their Richardson, TX office. In this role, you will be responsible for developing and maintaining Python-based applications and systems that streamline their construction processes and enhance their project management capabilities.
$135,000 - $150,000Full-timeExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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Proficiency in multiple modern programming, query, markup, and scripting languages, including C#, Python, TypeScript, JavaScript, HTML5, CSS3, SASS, PowerShell, and T-SQL. Data integration and processing with scheduled and event-driven triggers, using SQL Server Integration Services (SSIS) and cloud based pipelines like Azure Data Factory or Fabric Data Factory.
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4+ years with programming languages, including any of the following: Java, Python, R, Scala, ETL Tools, SQL (Teradata, SQL Server, Oracle) 4+ years with programming languages, including any of the following: Java, Python, R, Scala, ETL Tools, SQL (Teradata, SQL Server, Oracle.
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Keywords: Data Analytics, Business Intelligence, BI, Synapse, IoT, Machine Learning, Data Lake, Stream, Cube, Microsoft, SQL Server, Tableau,. Strong SQL skills including Data Definition Language (DDL), Data Manipulation Language (DML), views, functions, stored procedures, or performance tuning, required.
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Your role is pivotal in maintaining the integrity and security of our systems through diligent patching, vulnerability management, and upgrades across Windows, SQL Server, and related technologies.
$116,700 - $196,100 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Net, Python, HTML, Java script, Angular JS, Database, SQL, XML,) or Databases (Oracle, SQL Server, MySQL, MangoDB) Bachelor’s degree, preferably in Computer Sciences, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience.
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Two (2) years of experience working with Microsoft SQL Server Integration Services (SSIS) is preferred. Three (3) years of experience with working in a Microsoft SQL Server environment is preferred.
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Deep understanding of ETL development, data pipeline using Python, Airflow, tools SQL Server/SSIS/Python. The focus is on migrating data and analytical workloads from on-premise systems like SQL Server and SSIS to GCP platforms, including Big Query, IAM, GCS, Dataflow, Composer, Data Proc, etc.
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