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Demonstrated experience with Microsoft Azure , SQL , Azure Data Factory , Azure Synapse , Databricks , Python , PySpark , Power BI or other cloud-based data systems. Experience with Microsoft Azure, SQL, Azure Data Factory, Azure Synapse, Databricks, Python, PySpark, Power BI.
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Empresa global de capital privado especializada en outsourcing de innovación, dedicada a la prestación de servicios de desarrollo y diseño de software, modernización de aplicaciones, RPA, machine learning y Big Data, entre otros.
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Must be proficient in SQL and understand different data modeling techniques using Big Data frameworks such as Presto/Snowflake/Databricks. The FreeWheel Data Processing and Data Warehouse team is responsible for creating and managing the frameworks for large scale ETL using modern frameworks such as DBT and Spark.
$226,655.02 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience in Data Engineering using in Python, SQL and DevOps. Works on Data Engineering using in Python, SQL and DevOps. Develops Azure stack of development using ADLS, ADF, Synapse/SQL Server, Databricks and Power BI.
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Build new data products in GCP. Experience Required: Minimum 3 Years of Experience in Java/python in-depth Minimum 2 Years of Experience in data engineering pipelines/ building data warehouse systems with ability to understand ETL principles and write complex sql queries.
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Familiarity with ETL transformations between data stored in MS SQL Server Management Studio, Azure SQL Database, Oracle databases and ServiceNow. ● Experience with scripting languages, Bash, PowerShell, Google Script and some C# and Python.
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Automate retrieval of data from various sources via API and direct database queries for intelligence analysts and data scientist using SQL and Python Support DevOps activities for deploying applications and databases using Docker, Kubernetes, and Gitlab CI/CD pipelines.
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Solid experience in big data engineering, with working knowledge of Hadoop, Apache Spark, Python, and SQL. Skilled in Unix/Shell or Python scripting, using scheduling tools like Airflow and Control-M, and maintaining OPS tools.
$234,250 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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4 years of experience in Working with SQL, Databricks, Spark and/or other Big Data technologies. 4 years of experience in Proficiency with languages such as Python, SQL, PySpark, R.
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Senior Manager, Data Engineering (Spark, Scala, SQL) Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake.
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Ability to recreate existing legacy application logic and functionality into Azure Databricks/Data Lake, SQL Database and SQL Datawarehouse environment. Ability to migrate the Data Science models written on native python language to the multi node Databricks compute.
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Support analytics team to execute data strategy and review analytic scripts (Python, Databricks, SQL, ACL). 1+ year(s) of experience in Excel, ACL, Python, SAS, Alteryx, R, SQL, or other advanced analytical programs.
$127,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Our team of data analysts and data scientists help transform the controllership and treasury organization by leveraging technologies such as artificial intelligence and machine learning to build capabilities that lead to increased efficiency and impact decision making.
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Data: Good understanding of data & data processing tools (e.g. Spark, Kafka, SQL), of relational database technologies and of analytics databases (e.g. Redshift, Vertica, Snowflake.
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Identifying and incorporating tools and techniques using technology applications (e.g. Microsoft SQL Server, Access/Excel, Visual Basic, R, Python, SAS, Stata, Alteryx) and build reporting capabilities through data visualization (e.g. Tableau, Spotfire, Qlikview.
$40.75 an hourFull-timeExpandApply NowActive JobUpdated Yesterday
big data python sql jobs Title: data manager Company: Ey in Gretna, Louisiana
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