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Job Description:

Job Descrition:
Equinox IT Solutions is actively searching for a Data Engineer/Senior Data Engineer to join their team. This position will support activities and will act as a highly productive member of our agile teams to serve as a technical expert in analysis, design, coding and testing innovative data solutions.
Candidates will be considered at the Data Engineer/Senior Data Engineer level based on experience.

Responsibilities:
Designs and develops programs and tools to support ingestion, curation and provisioning of complex enterprise data to achieve analytics, reporting, and enhanced cybersecurity visibility and action.
Identifies process improvements that address complex technology gaps within a single process. Builds strong knowledge of technology enablers.
Analyzes and prepares complex technology-enabled recommendations to address process gaps.
Provides successful deployment and provisioning of data solutions to required environments.
Designs and builds data extracts, integrations and transformations. Designs and builds data architecture and applications that enable reporting, analytics, data science, and data management to improve security visibility, efficiency, compliance and overall security posture.
Develops effective, defect free code to automate security processes; creates dashboards and auto-ticketing using code and APIs.
Applies machine learning to work as applicable.
Interacts with cross-functional customers and development team to gather and define requirements.
Reviews defects or discrepancies in requirements and resolves with stakeholders.
Mentor team members as needed
Identify and recommend appropriate continuous improvement opportunities.

Qualifications:
Bachelor or Master's degree in technical or business discipline or equivalent experience.
Generally, 3-5+ years of professional experience.
Proficient in data visualization design and development, ensuring accuracy & ease of consumption
Proficient in data engineering languages and tools, and strong proficiency in general programming languages and frameworks;
Ability to develop on multiple platforms
Knowledge of a variety of data platforms such as MS SQL, AWS RDS, AWS Redshift, Splunk.
Knowledge and ability to write, test, and debug application programming interfaces (APIs)
Experience with software and data engineering technologies such as Python, JSON, PowerShell, Power BI, Azure DevOps, AWS EC2, AWS Lambda and other AWS and LM Cloud Technologies.
Strong negotiation, facilitation and consensus building skills. Strong oral and written communication skills; presentation skills
Extensive knowledge of the following: IT concepts, strategies, methodologies & cybersecurity concepts, architectures and frameworks
Versed in diverse technologies and new technical architecture principles and concepts.
Experience working with agile methodologies and cross-functional teams
Must be proactive, demonstrate initiative and be a logical thinker.
Strong consultative skills, including the ability to understand and apply customer requirements, including drawing out unforeseen implications and making design recommendations.