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Certifications such as Certified Information Systems Security Professional (CISSP), Certified Data Privacy Solutions Engineer (CDPSE), GIAC Machine Learning Engineer (GMLE) are highly desirable.
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Drive decision-making regarding RE Tech data architecture, models, tools, & processes with the intent of improving Data Analytics efficiencies, quality, and breadth of deliverables. Collaborate with RE Tech ESG project managers, practice areas and clients to identify project requirements and design cost effective, data-driven solutions.
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Google Cloud Professional Data Engineer certification. We are seeking a highly skilled GCP Data Engineer to join our team. Proven experience as a Data Engineer with a focus on GCP services.
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TRKKN is a full service provider for the Google Marketing Platform and Google Cloud with an interdisciplinary team of experts from the fields of Digital Analytics, Conversion Optimization, Ad Tech, Advanced Analytics & AI, Cloud Engineering and Tech & Data Strategy.
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As a Sr. Data Engineer, you will be part of a talented team of engineers responsible for the deployment and configuration of cloud resources to meet individual client business needs in AWS. Client engagements cover a wide variety of business requirements and require our engineers to adapt quickly and stay on top of recent cloud technology trends.
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Job Title: Azure Data Engineer. Over 7-10 years of experience as a Data Engineer. Skills: Azure, Python, Java, Scala, PySpark, SQL, Hive, Pig, Hadoop, Cloud, AWS, Databricks, Datalake, and Big data will always be there on-prem.
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Knowledge and understanding of Cloud service offerings such as Data, Analytics, AI/ML on GCP. Gather and analyze data to diagnose the root cause of Cloud issues, recommend and implement solutions to resolve issues in timely manner.
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Azure certifications (e.g., Azure Solutions Architect, Azure Data Engineer) are highly desirable. 5-6 years of hands-on experience with Azure services, specifically Azure Databricks, Azure DevOps (ADO), Azure Data Factory, Azure Data Lake Storage Gen2 (ADLS Gen2), and SQL Server.
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As the Senior System Integration Engineer, you will spearhead the design and implementation of sophisticated data integration solutions. Your role is pivotal in leading the strategic vision for data integration, incorporating advanced technologies like digital twin, Azure, MQTT, data streaming, and Snowflake to drive innovation and elevate the organizations data capabilities.
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Implement scalable and sustainable data engineering solutions using tools such as Databricks, Azure, Apache Spark, and Python. One of our direct clients is looking for Data Architect(Databricks) in Dallas, TX.
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Technical Data Analysis with experience in a variety of tools/software and the ability to manipulate large data sets. You'll be able to lean on your familiarity with Litigation Support, Forensic Accounting and Data Analysis to provide support on a wide variety of client engagements.
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Would be preferred to have executed end to end implementation/migration of a Data Warehouse and Big Data (Hadoop) project from on prem to GCP (using Google BigQuery, DataFlow, DataProc etc.
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Leading the design, build, migration, and testing of OneStream for multi-dimensional data models (dimensions, hierarchies, attributes); input template and report build; Data Integration and Extract Transform and Load (ETL) concepts; understanding of calcs (allocation, top-down spreading, currencies); and, workflow, data permissions and security.
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We operate multiple geographically disperse data centers, including two of the nation’s largest healthcare data centers – both rated among the top five percent of data centers worldwide by MIPS.
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As a Lead Data Engineer, you will work closely with the Data Architect and other stakeholders to understand their data needs and provide solutions to meet those needs. We are seeking a Lead Data Engineer to join our team of data experts.
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data job Title: senior software engineer linux in Dallas, TX
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