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Familiarity with other relevant technologies and tools such as SQL databases (e.g., PostgreSQL, MySQL), containerization (e.g., Docker, Kubernetes), CI/CD pipelines, and version control systems (e.g., Git, GitHub.
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5+ years of experience in data/cloud engineering, working/creating datasets for a data warehouse, and ETL development tools (Azure Data Factory, Azure container app, Flask and Docker, Databricks, SQL, and Python.
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The ideal candidate should have intermediate Python/R or relevant programming language, intermediate knowledge of SQL, effective problem-solving skills, good organizational skills, attention to detail, highly effective oral and written communication skills, and ability to interact with all management levels.
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Strong experience with Databricks and Apache Spark (especially Spark SQL) Design, build, and maintain scalable data jobs and workflows in Databricks using Spark SQL and Python. Optimize Databricks jobs and SQL queries for performance and cost-effectiveness.
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Hands-on development experience with Relational DBs (MS SQL Server, PostgreSQL, Oracle), as well as complex stored procedures and functions using SQL and optimization of SSIS packages and Redshift database queries.
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Advanced experience in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. Experience in SQL and NoSQL, such as MySQL, PostgreSQL, Cassandra, HBase, Redis, DynamoDB, Neo4j, etc.
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Databricks, Snowflake, AWS, GCP, Azure, dbt, Fivetran, Hudi, Iceberg, spark, Python, PyTorch, TensorFlow, SQL, etc.) Hands-on familiarity with data engineering and/or ML/AI coding languages and frameworks, such as SQL, python, R, java, scala, js, ts, pytorch, spark, tensorflow, ETL/ELT, LLMs, etc.
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Knowledge and Skills to comfortably work on Windows, Unix Systems, IBM Technologies like WebSphere AS and MQ and SQL Server. Hands on Unix Shell Scripting, Perl/Python, PowerShell, MS SQL programming experience.
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Experience with MongoDB; MySQL; Oracle Database Management System (DBMS); PL SQL; SQL (Programming Language) Experience with Other: IT service management tools such as Service Now, Atlassian, BMC.
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Experience with data query, visualization, dashboard and/or scorecard tools (analytics tools) a plus, such as SAP BOE (BOBIP), Tableau, QlikView, SPSS Modeler, Microsoft Power BI, Crystal Reports, Microsoft SQL Server Packages, Microsoft SSAS, etc.
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Basic knowledge of some of the following a plus: Data Analytics, PowerBI,SQL,Python, SnapLogic,Cyber Security & Security Best Practices,.net, Java, React, Cloud Infrastructure – GCP/AWS, SAP/ERP, Rest APIs, SFTP, MQTT, Web Services, JSON, ServiceNow.
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Experience/Training Desired: Experience administering enterprise environments, supporting Operations and Maintenance (O&M) of servers (physical and virtual), Operating Systems (Windows, Linux, etc), databases (SQL, Oracle), collaboration tools (SharePoint, Teams, Jabber), virtualization technology, software applications, scripting, SANs, and computer security in an enterprise.
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Experience with SQL, SAP (preferably S4/Hana) Analytics, SAC, Fiori, Power BI, Tableau, Think Cell, and other tools a plus. Experience with SQL, SAP (preferably S4/Hana) Analytics, SAC, Fiori, Power BI, Tableau, Think Cell, and other tools a plus.
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Experience with one or more of the following data analysis tools such as: Alteryx, Qlik, Google Data Studio, R Studio, Tableau, Oracle, Microsoft SQL Server, Visual Basic, Microsoft. NET framework, ACL, IDEA, Microsoft Access, SQL, Microsoft Exchange, or Hyperion applications.
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Familiarity with Elasticsearch, SQL, Neo4j, Nest.js, Kibana, Matomo, Marvel, Forever, Shibboleth/SAML, Stash, Git, BitBucket, Grunt, Selenium, Linux Admin. Familiarity with Elasticsearch, SQL, Neo4j, Nest.js, Kibana, Matomo, Marvel, Forever, Shibboleth/SAML, Stash, Git, BitBucket, Grunt, Selenium, Linux Admin.
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sql job Company: Brainstation in Hialeah, FL
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