MDM Data Platform Lead

Nityo Infotech Corporation

Charlotte, NC, United States

15 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Working hours

Regular working hours

Job source

www.thejobnetwork.com

Tech stack

Microsoft Windows Adobe InDesign Airflow Software Applications Systems Engineering Microsoft Azure Bash Shell Cloud Computing Configuration Management Cyber Security Continuous Integration Data Cleansing

+30 more

Data Infrastructure Extract Transform Load (ETL) Data Normalization DevOps Monitoring of Systems Python (Programming Language) Key Management Meta-Data Management OAuth Windows PowerShell Systems Development Life Cycle Red Hat Enterprise Linux Reference Data Ansible Software Engineering Systems Integration Data Logging Scripting Azure Data Factory Snowflake Containerization Kubernetes Information Technology Data Management Dataiku Puppet Data Pipelines Docker Databricks Vulnerability Analysis

Requirements

Strong Devops experience using Jenkins, Azure Devops, Nexxus

Implementing various development, testing, automation tools, and IT infrastructure

Identifying and deploying cyber security fixes, continuously performing vulnerability assessment and risk management

Documenting CI/CD processes, We are looking for a lead to manage the offshore team and ensure the reliability of software applications needed to support our data needs. The candidate should have an excellent track record of supporting Azure cloud-based services and applications. The individual should have an understanding of the present IT landscape, and how current trends can affect business. The ideal candidate should also have a strong understanding of automating systems engineering tasks and systems integration. Required:

Should be expert in at least one MDM tool

Prefer knowledge in Reference Data, Master Data management, Snowflake, Python, ETL/ELT processing

Should be able to help customer on MDM tool selection Strong understanding of Windows systems and Azure Cloud Services, especially Azure Data Factory (ADF) and Azure Key Vault (AKV). Strong understanding of DevOps and complete SDLC of an application. Experienced in design and implementation of infrastructure and onboarding of new applications. Experienced working on Databricks workspaces, workload optimisation, troubleshooting and support. Experienced in logging and monitoring tools and incident management. Proven history of automating tasks through scripting (Bash, Python, Powershell). Experience with configuration management (e.g. Puppet, Chef, Ansible). Experience working with security protocols (i.e. OAuth, SCIM, Key Vaults, TLS, IDM). Familiarity with various software development processes and methodologies, especially related to ETL. Familiarity with container technologies (ie: Docker, Kubernetes). Experience with Red Hat Linux.

Nice to have: Desire to continuously discover, experiment with, and evaluate new technologies. Experience with data aggregation tools (Cube Cloud), data cataloging (Alation), self-service analytics tools (Dataiku), data linage tools (Solidatus), or with data quality tools (Anamolo) is a plus. Experience with data orchestration platforms like Apache Airflow.