Senior Technical Consultant – Data & Analytics

🕒 April 16

🇺🇸 United States – Remote

💵 $160k - $200k / year

⏰ Full Time

🟠 Senior

📉 Data Analyst

👻 Ghost score 41%

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Logo of AHEAD

AHEAD

1001 - 5000 employees

💼 Consulting

🤖 Artificial Intelligence

🏢 Enterprise

💰 $5.7M Venture Round - AHEAD on 2024-05

Consulting • Artificial Intelligence • Enterprise

AHEAD is a technology consulting and systems-integration firm that accelerates digital transformation by engineering integrated solutions across infrastructure, applications, data, and security. The company specializes in AI transformation and AI-enabled infrastructure, data platform and platform/workload modernization, secure and resilient architectures, operational excellence, and managed services including IT lifecycle and procurement (AHEAD Hatch) and hardware integration (AHEAD Foundry). AHEAD delivers end-to-end services from strategy and financial consulting to build and run operations, partners with major cloud and infrastructure vendors (AWS, Google Cloud, Microsoft, Cisco, Dell, VMware, NVIDIA, ServiceNow, Palo Alto Networks, Rubrik, etc. ), and serves enterprise clients across industries such as healthcare, financial services, manufacturing, retail, and public sector.

📋 Description

• Design, build, operationalize, secure, and monitor data processing systems • Create robust automated pipelines to ingest and process structured and unstructured data using batch and streaming mechanisms • Implement custom applications using Kinesis, Lambda, and other cloud-native tools for streaming use cases • Engineer and support SQL and NoSQL data structures • Engineer and maintain ELT processes for loading data lakes using Snowflake, Cloud Storage, and Hadoop • Engineer APIs for returning data to enterprise applications • Deliver testable, maintainable, and modern data solutions using appropriate tools • Respond to customer and team inquiries and troubleshoot challenges • Collaborate with scrum team members to estimate and deliver sprint work • Research data questions, identify root causes, and work with business users and technical resources • Perform strategic planning and hands-on engineering of Big Data and cloud environments • Present to leadership and lead projects • Design and implement data pipelines enabling analytics and machine learning

🎯 Requirements

• 8+ years of professional technical experience • 4+ years of hands-on Data Architecture and Data Modelling • 4+ years of experience building highly scalable data solutions using Hadoop, Spark, Databricks, and Snowflake • 4+ years of programming experience, including Python • 2+ years of experience working in cloud environments (AWS and/or Azure) • Strong client-facing communication and facilitation skills • Experience with SQL and NoSQL databases • Experience with ETL/ELT, data warehouses, data lakes, OLAP, Linux, Windows, and Git

🏖️ Benefits

• Medical, Dental, and Vision Insurance • 401(k) • Paid company holidays • Paid time off • Paid parental and caregiver leave • Professional development and cross-department training • Employer-sponsored certifications and credentials • Multi-million-dollar technology lab and access to top-notch technologies

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