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4+ years of enterprise data warehouse development with SQL, Python, Azure Data Factory (ADF), Azure Databricks, Kafka, and ideally Snowflake experience. Looking for a Data Engineer with SQL, Python, ADF, Databricks, Kafka and ideally Snowflake experience to work 100% remote.
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We are seeking a skilled Sr. Martech Software Engineer with expertise in marketing technology platforms (CRM or CDP) such as Adobe Experience Platform (AEP) or similar (e.g. Salesforce, Dynamics, etc), coupled with strong skills in building custom solutions on AWS, proficiency in API development using languages like Python or Java, and some experience in data engineering.
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We provide valuable support solutions on a wide range of technologies, including Data analytics, Artificial Intelligence and IoT, Business Intelligence and Power BI, SQL, Dynamics 365, and Power Platform, that elevate our customers’ trust in Microsoft and improve their business performance.
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Experience programming with SQL, PL/SQL, T-SQL, Python, PowerShell, Shell scripting, Rest API. Software Development experience in Java, Spring, Spring boot, SQL and No SQL databases, API and knowledge in Cloud technologies would be preferred.
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Must have programmatic experience of SQL, Python, Apache Spark. Google Cloud Platform, ideally with Google Big Query, Cloud Composer and Cloud Data Fusion, Cloud spanner, Cloud SQL.
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Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions with clients.
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Advanced knowledge of DAX/MDX, Azure DevOps, HTML, JSON, and SQL Server. Strong grasp of data integration, data architecture, and SQL Server database technology. Preferred experience with Python & PowerShell scripting.
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Strong proficiency in Microsoft Azure services, particularly Azure Data Factory, Azure SQL Database, Azure Databricks, Azure Cosmos DB, Azure Synapse Analytics (formerly SQL Data Warehouse), etc.
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Uses Azure services such as Azure SQL DW (Synapse), ADLS, Azure Event Hub, Cosmos, Databricks, Delta-Lake to improve and speed up delivery of our data products and services. Extensive experience working with various data sources (DB2, SQL,Oracle, flat files (csv, delimited), APIs, XML, JSON.
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Knowledge of third-party vendor software products that support DB2 for z/OS - BMC (database utilities, Catalog and Change Manager, SQL Explorer and Apptune) and CA Sysview are a plus. Troubleshooting database and SQL related problems.
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Strong working knowledge of databases, data modeling and modern cloud-based data architecturesStrong working knowledge of data and analytic tools and programing languages including but not limited to SQL, Python, Map Reduce, SAS, R, SageMaker, S3, Git etc.
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Experience in the design and implementation of the different data processes like profiling, exploration, collection, processing, cleaning, and preparation of data, ETL, ELT, ETLT data processes and data pipelines with Python, SQL, Non-SQ, MS Power BI Services and Power Query.
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Oracle, SQLServer, PostgreSQL, MySQL, Informix, Couchbase, CockroachDB, Yogabyte, ScyllaDB, MongoDB, Datastax, RDS, Aurora, Dynamo, Azure SQL, CosmoDB. The ability to code/script in any language, preferably Ansible and Python/GoLang.
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We seek a Data Engineer who brings a robust skill set and extensive experience in cloud-based data engineering experience particularly within the realm of Azure and Databricks using Python, PySpark and cloud SQL. Critical thinking and problem-solving abilities are paramount, as you will navigate evolving and complex requirements and collaborate with stakeholders across diverse technical backgrounds.
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SAS, SQL, R, Python) Database technologies (e.g. PostgreSQL, Redshift, Snowflake. Data mining/programming tools (e.g. SAS, SQL, R, Python) Mandatory Skills Advanced knowledge one of language: Java, Scala, Python, C.
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sql python jobs Company: Christus Health in Dallas, TX
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