Delivery Lead Data Engineering - Data Platforms 20-25 Years Experience (Strong FP&A knowledge and Data Engineering experience)

AGENCIES/RECRUITERS DO NOT APPLY

Introduction:

This is a hands-on delivery lead role specialized in data engineering with a strong focus on Financial Planning & Analysis (FP&A) knowledge. The successful candidate will work closely with senior executives and have 20-25 years of experience in Information Technology services across industries.

Responsibilities:

• Design Application Architecture on Data Platforms using Machine Learning, Deep Learning, Big Data Platforms, Natural Language Processing (NLP), Time Series Analysis, Linear and Non-linear Modeling, Data Mining, Optimization and Simulation.
• Develop data conformation processes from disparate data sources for data analytics.
• Utilize Data Engineering tools such as Snowflake, Oracle, and SQL.
• Work on Cloud platforms, specifically AWS, for data processing and storage.
• Collaborate with teams to handle high volume data using ETL processes with tools like Informatica Intelligent Cloud Services.
• Utilize PowerBI for data visualization and analysis.

Requirements:

Required Skills:

• 8-10 years of experience in designing Application Architecture on Data Platforms.
• Experience with Machine Learning, Big Data Platforms, NLP, Time Series Analysis, Linear and Non-linear Modeling.
• Proficiency in Data Engineering concepts and tools such as Snowflake, Oracle, and SQL.
• 5 years of experience in designing data conformation processes for data analytics.
• 3 years of experience working on Cloud platforms, specifically AWS.

Preferred Skills:

• Experience with Informatica Intelligent Cloud Services for ETL processes.
• Hands-on experience with PowerBI for data visualization.