Analysis Skills, Apache Hadoop, Apache Hive, Apache Spark, Architectural Services, Artificial Intelligence (AI), Automation, Big Data, Cloud Computing, Consulting, Data Processing, Data Quality, Database Extract Transform and Load (ETL), Demand Forecasting/Planning, Ecosystems, Entrepreneurship, Fortune 1000 Customers, GCP (Good Clinical Practices), High Level Architecture (HLA), Industrial Engineering, Informatica, Information/Data Security (InfoSec), Internet of Things, Leadership, Manufacturing, Manufacturing Execution Systems (MES), Mentoring, Microsoft Windows Azure, Predictive Modeling, Python Programming/Scripting Language, Quality Metrics, SQL (Structured Query Language), Software Development Lifecycle (SDLC), Software Engineering, Supply Chain, Tableau
Tiger Analytics is a global leader in AI and advanced analytics consulting, empowering Fortune 1000 companies to solve their toughest business challenges. We are on a mission to push the boundaries of what AI can do, providing data-driven certainty for a better tomorrow. Our diverse team of over 6,000 technologists and consultants operates across five continents, building cutting-edge ML and data solutions at scale. Join us to do great work and shape the future of enterprise AI.
Key Responsibilities
- Architectural Leadership: Lead the design of high-level data architectures in Multi-Cloud environments (Azure and GCP) specifically for IIoT (Industrial Internet of Things) and manufacturing execution systems.
- Industrial Data Modernization: Oversee the migration of legacy factory data systems to unified storage platforms like Hadoop and Databricks.
- Smart Manufacturing Insights: Build visualization frameworks in Tableau to track OEE (Overall Equipment Effectiveness), supply chain bottlenecks, and production quality metrics.
- Predictive Analytics: Utilize Spark, PySpark, and Python to develop models for predictive maintenance and demand forecasting.
- End-to-End Delivery: Manage the full SDLC for high-impact projects, ensuring data integrity and security across global manufacturing sites.
- Strategic Mentorship: Guide technical teams across onshore and offshore models, fostering excellence in data engineering and industrial AI.
Requirements
- Manufacturing Domain Expertise: Proven experience applying data solutions to manufacturing challenges, such as inventory optimization, shop-floor automation, or digital twins.
- Extensive IT Background: Over 18+ years of experience with a strong focus on Big Data ecosystems including Hadoop, Hive, and Spark.
- Cloud Mastery: Deep expertise in Azure and GCP , supported by certifications in Data Engineering and Architecture.
- Technical Depth: Hands-on proficiency with Informatica , Kubernetes , and advanced SQL for complex data exploration.
- Education: A Master’s Degree in Software Engineering.
- Analytical Skills: Strong data processing and ETL experience using Python (NumPy/Pandas).
Benefits
Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.