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As a member of the Data Quality (DQ) Audit team, the candidate will be accountable for managing and executing audit programs designed to measure and report on data risk across the enterprise.
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10+ years hands-on experience working with large scale data solutions; covering strategy, data preparation, data quality, ETL, data visualization. 10+ years of designing solutions utilizing key data providers and hyperscalers (e.g., Snowflake, Databricks, AWS Sagemaker/Bedrock, GCP AI Platform/Vertex AI, and Azure.
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Conducts data quality checks and ensured data integrity across multiple data pipelines. Success in designing and implementing scalable cloud solutions, data pipelines, optimizing data architectures, and delivering high-quality analytics solutions.
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Explore and implement ways to enhance data quality and reliability. Be and expert in Python, SQL, machine learning algorithms, and know about data integration, modeling and be well-versed in versed in good UI design.
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Data Management Ensure data integrity and security within Salesforce, including data migration, data quality, and data governance. Strong understanding of Salesforce architecture, data modeling, security, and best practices.
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Certifications or exposure in data management (using tools like databricks, starburst and other tools. Good understanding of prime networking vendors in the areas above including Nokia, Ericsson, Samsung, Cisco, Palo Alto, Fortinet, Juniper and others.
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Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity.
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Strong knowledge of data analysis tools including skills to develop analysis queries and procedures in SQL, SAS, or other business intelligence and analysis software applications for data segmentation, aggregation, and statistics (E.g., SPSS, Python, R or Visual Basic.
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An Coding Quality Analyst serves as a resource to others while performing peer-to-peer overreads on a daily basis. Experience with Microsoft Word (create correspondence and work within templates), Microsoft Excel (data entry, sort / filter, and work within tables) and Microsoft Outlook (email and calendar management.
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Proficient knowledge of consumer, business banking and commercial banking strategy and operations including KYC and onboarding, fraud mgmt, data, performance marketing, account payable and receivable solutions, treasury management and cash management.
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RCDD, BICSI DCDC, CDCDP or PMP or related Data Center Facilities Design certifications are a plus. - 3 to 7 years of relevant data center facilities design and build project management experience.
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Reporting to the DevOps Engineering Manager, you will be responsible for handling the implementation and maintenance of a multi-tenant and global Snowflake platform for the data pipeline, ELTs and Analytics.
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Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake. 4+ years of data warehousing experience (Redshift or Snowflake.
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The ideal candidate will have deep expertise in building and deploying Python microservices using FastAPI, along with strong experience in Azure, SQL, Kafka, Databricks, and GCP (Google Cloud Platform) data engineering technologies.
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Deep understanding of cloud computing principles, including virtualization, containerization, microservices, and serverless computing; Risk Management, RHCOS security, container security, Kubernetes security, IAM security, network security, auditing, encryption, secrets management and data protection, securing CI/CD.
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data quality jobs Company: Cognizant in Allen, TX
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