Senior Database Admin

hace 2 semanas

Desde casa, Colombia Lean Tech A tiempo completo

**Position Title**:

- Senior Database Admin (DBA)

**Location**:

- Colombia

**What you will be doing**:
.- Build database systems of high availability and quality depending on each end user’s specialized role.- Design and implement database in accordance to end users’ information needs and views.- Assess current database schemas, identifying and implementing improvements to schema, indexes, and other optimization and/or normalization to maximize efficiency.- Lead the design and implementation of a data warehouse that consolidates data from multiple sources, acting as the central repository for integrated data.- Design and implement strategies for deduplicating data and other mechanisms to ensure data cleanliness and accuracy within source systems and a data warehouse.- Partner with development and integration teams to support and provide oversight in designing and developing integration solutions and prototypes.- Define users and enable data distribution to the right user, in appropriate format and in a timely manner.- Use high-speed transaction recovery techniques and backup data.- Minimize database downtime and manage parameters to provide fast query responses.- Provide proactive and reactive data management support and training to users.- Determine, enforce, and document database policies, procedures, and standards.- Perform tests and evaluations regularly to ensure data security, privacy, and integrity.-
- All other duties as assigned.

**Requirements & Qualifications**:
Excellent business acumen and interpersonal skills; able to work across business lines at a senior level to influence and effect change to achieve common goals.- Demonstrated leadership; proven track record of leading complex, multidisciplinary talent teams in new endeavors and delivering solutions.- Proven data literacy — The ability to describe business use cases/outcomes, data sources and management concepts, and analytical approaches/options. The ability to translate among the languages used by executive, business, IT, and quant stakeholders.- Information strategy experience — Experience in strategic technology planning and execution, and policy development and maintenance.- Analytical skills — Outstanding analytical and problem-solving abilities.- Familiarity with business information generation and analysis methods.- Ability to effectively drive business, culture, and technology change in a dynamic and complex operating environment.- Gravitas to develop a framework for information and analytics governance, as well as to sell and embed it in all levels of the business.- Excellent oral and written communication skills, including the ability to explain digital concepts and technologies to business leaders, and business concepts to technologists
- Coding knowledge and experience in several languages
- Experience with popular database programming languages including [SQL, CosmosDB, Azure Synapse] for relational databases and upcoming nonrelational databases.
- Experience with integration platforms (e.g. Boomi, MuleSoft, Workato).
- Experience with distributed data/computing tools.
- Experience with operationalizing ML workflows using specialized MLOps frameworks such as Kubeflow, MLFlow, Liminal, Seldon Core, or general task orchestration frameworks such as AirFlow, Luigi, Argo, and others. This may also include MLOps tools such as Domino Data Lab, IBM, TIBCO, Superwise.AI, Arthur.AI, Modzy, ModelOp and others.
- Experience of working across multiple deployment environments including Microsoft Azure Cloud. multiple operating systems and through containerization techniques such as [Docker, Kubernetes, Azure Functions, and others]
- Experience in one or more of the following commercial/open-source data discovery/analysis platforms: [RStudio, Spark, KNIME, RapidMiner, Alteryx, Dataiku, H2O, SAS Enterprise Miner (SAS EM) and/or SAS Visual Data Mining and Machine Learning, Microsoft AzureML,].
- Expertise in solving Azure SQL, CosmosDB, and Synapse problems is required.
- Knowledge and experience in statistical and data mining techniques: [generalized linear model (GLM)/regression, random forest, boosting, trees, text mining, hierarchical clustering, deep learning, convolutional neural network (CNN), recurrent neural network (RNN), T-distributed Stochastic Neighbor Embedding (t-SNE), graph analysis, etc.].

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