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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, Performance Tuning, SQL Individual salaries that are offered to a candidate are determined after consideration of numerous factors including but not limited to the candidate’s qualifications, experience, skills, and geography.
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Experience with data warehousing such as AWS Redshift, MySQL, or Snowflake. Experience with distributed data and computing tools such as Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka.
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Skillful with Databricks/Snowflake and strong understanding of SQL preferred. Understanding of ETL methodology and/or creating data models within Qlik and/or Databricks environment to join multiple data sources into a model for accurate and efficient rendering of outputs within Qlik. Understanding of data automation principles.
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Net, C#, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Python, Data Modeling, SQL, SSIS, SSAS, SSRS, Power Automate, Power Platform, AI Builder, Power Apps, Blue Prism, Automation Anywhere, UiPath Studio, Orchestrator, ERP, QuickBooks, SAP, NetSuite, Oracle, API, JSON, XML, Web Services, SOAP, Postman, Fiddler, Integration, Custom Activities, DLL, Insight, Automation Hub, Task Capture.
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Design dashboards, conduct data engineering/ETL utilizing tools such as Databricks, and apply agile scrum methodologies. Proficiency in Data Science and Data Visualization tools (e.g., Qlik/Tableau.
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6+ years of experience with SQL or NoSQL databases like Snowflake, Postgres, Oracle, MongoDB. Minimum 5 years of experience with ETL/ELT design and development using tools like IICS, AWS Glue, Talend, Databricks, Oracle Data Integrator (ODI) or equivalent.
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Experience with all or any of the following: McAfee SIEM, HBSS, Tenable, Redshift, PKI, IPS. Experience with all or any of the following: McAfee SIEM, HBSS, Tenable, Redshift, PKI, IPS. IAT II Compliance (Sec+, CCNA Security, GICSP, GSEC, or CYSA.
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Experience in AWS Cloud, Google Cloud Platform, or Snowflake preferred. Experience in AWS Cloud, Google Cloud Platform, or Snowflake preferred. Experience with Tidal Scheduler strongly preferred.
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Experience with a variety of mainframe databases (DB2, IMS, VSAM, Adabas, Datacom, IDMS) and familiarity with modern databases/platforms (Postgres, MySQL, Oracle, SQL Server, MariaDB, BigQuery, Snowflake, etc.
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3-5+ years Columnar MPP Cloud data warehouse using Snowflake. Design and development of data marts in Snowflake. Knowledge of: Git, Azure DevOps, Agile, Jira and Confluence. 3-5+ years Columnar MPP Cloud data warehouse using Snowflake.
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Deploying and configuring tools to monitor and report on the performance of the Snowflake system. We are looking for experienced Data Engineers with knowledge of Snowflake platform. Optimizing the performance of Snowflake databases, including designing and implementing data structures and using indexes appropriately.
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Experience working with Airflow for automation of AWS and Snowflake is a plus. Build ETL pipeline end to end from AWS S3 to Snowflake Datawarehouse for analytical. snowflake expertise good to have.
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Experience in building out Cloud Applications ( preferably in AWS) and understanding of Cloud Data Platforms such as Snowflake and/or Databricks. Expertise in building cloud based platform preferably leveraging data technologies such as databricks or snowflake.
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Experience using job orchestration tools (e.g., Airflow, Control-M, CA ESP, Snowflake tasks) Expertise in a wide variety of database technologies, preferably Snowflake. Experience using job orchestration tools (e.g., Airflow, Control-M, CA ESP, Snowflake tasks.
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AWS, RedShift (warehouse) Advanced understanding and experience with all functions of the data management lifecycle including data governance, data architecture, data integration, metadata management, data development, data quality management, data administration, security & operations, data stewardship and master data management.
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