Description

You will design and deliver data platforms, leading architecture decisions for ML and analytics workloads. You own the end-to-end data engineering lifecycle, from disparate source integration to cloud deployment.

Responsibilities

• Design application architecture on data platforms using Machine Learning, Deep Learning, and Big Data frameworks.
• Build data pipelines and ETL processes to handle high-volume data for PowerBI and analytics.
• Engineer data conformation from disparate sources using Snowflake, Oracle, and SQL.
• Deploy and manage cloud infrastructure on AWS.

Required Skills

• 8-10 years of experience in designing Application Architecture on Data Platforms.
• Strong expertise in Data Engineering, including Snowflake, Oracle, and SQL.
• Hands-on experience with ETL processes and PowerBI.
• Proficiency in Cloud platforms, specifically AWS.
• Experience with Machine Learning, Deep Learning, and Natural Language Processing.
• Knowledge of Time Series Analysis, Linear/Non-linear Modeling, Data Mining, and Optimization.
• Minimum 10 years of total IT services experience.

Preferred Skills

• Experience with Informatica Intelligent Cloud Services.

Key Skills

Education

Bachelor's degree