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Advanced experience with Azure using data warehouse technologies, including Azure Data Factory, Azure Synapse, Azure Synapse Analytics, Azure SQL DB, Azure Logic Apps, and Azure Analysis Services, Azure Databricks.
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Alternatively, similar experience with modern MXDR, MDR approaches or experience with Data Lake platforms (e.g., Databricks, Snowflake, or Cloudera). Experience with other key security technologies, in at least two other areas across: network security, identify security, endpoint protection, data security, incident response, firewalls, or vulnerability management tools.
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Technical Skills : Proficiency in Azure Data Factory, Azure Functions, Python programming, DBT for data modeling, and familiarity with PostgreSQL and Snowflake databases. Competency in managing PostgreSQL and Snowflake databases, focusing on data integrity, performance, and security.
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Design efficient data synchronization processes between on-premises Oracle databases and Snowflake using Kafka and CDC extraction tools. Data Integration: Experience with Kafka and CDC tools (like Debezium connector) for real-time data synchronization.
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15+ years' experience with a primary focus in an executive Data & Analytics leadership role such as, Chief Data Officer (CDO), Chief Analytics Officer (CAO), Chief Data Scientist, Data Scientist, VP/Sr. VP Business Intelligence and/or Analytics/Business Analytics within a Fortune 500 company.
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United Airlines is seeking a dedicated Senior Data Analyst – Internal Audit to provide data-driven support to project teams within the Internal Audit department. Extensive experience with data analytics and visualization tools such as Power BI, Palantir Foundry, Python (including pandas and Anaconda), and Power Query.
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We are seeking a highly experienced Senior Data Engineer with a deep understanding of PySpark using Databricks or AWS Glue or AWS EMR and cloud-based databases such as Snowflake. 5+ years of experience in data engineering, with a strong background in Apache Spark and cloud-based databases such as Snowflake.
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Must have experience with: Informatica Data Management Cloud (IDMC) or PowerCenter, or axon, or IDQ (Informatica Data Quality) You have a deep understanding of data modeling and experience with data engineering tools and platforms such as Kafka, Spark, and Hadoop.
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Proficiency with GCP data services (BigQuery; Dataflow; Data Fusion; Dataproc; Cloud Composer; Pub/Sub; Google Cloud Storage). Experience with data governance(data plex), data security, and compliance best practices on GCP.
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The Sr. Analyst works across the Data Strategy & Analytics team to propose and implement performance measurement and analytic initiatives, as well as related reporting presentations. The Sr. Analyst, Data Intelligence is responsible for developing and executing marketing analytic strategies.
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5+ years of field sales experience in the enterprise software/SaaS space, experience within data integration, analytics, and business intelligence required. Develop creative strategies in partnership with our internal & external advisors and law enforcement veterans, crafting tailored solutions that set a new standard of what’s possible in law enforcement technology.
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Bring data-led, consumer consumption-based insights to creative strategy and asset development, and measure the quality and effectiveness of content by implementing weekly, monthly and quarterly reporting operations to effectively communicate results, in partnership with Adult Care Integrated Media Specialist and Insights & Analytics.
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Various fringe benefits such as Nationwide Pet Insurance, Ventra Benefit Program (pre-tax dollars), T-Mobile Unlimited Talk, Text, and Data, phone plans for only $30 per line (up to 4 lines) and more.
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Implements special clinical procedures within one of the following specialty areas: ECMO; Asthma/COPD; Tracheostomies: Medical ICU; Coronary Care Unit and Cath Lab; Surgical ICU and PACU; Cardio-Thoracic ICU; Neuro-Spine ICU; Pulmonary Unit; Neonatal ICU; Trauma & Emergency Response; involving highly technical equipment management requiring understanding and functional knowledge of complex physiologic processes and interpretation of data.
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Certification in cloud computing (e.g., AWS Certified Solutions Architect, Azure Data Engineer Associate, Google Cloud Certified - Professional Data Engineer). Title: Data Engineer - Remote.
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data entry jobs Title: data analyst Company: Randstad Us in Chicago, IL
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