Cloud Engineer- Data/AI Focused

We are seeking a skilled and motivated Data/AI Cloud Engineer to join our team! In this role, you will play a key part in implementing AWS data and AI/ML services, building ETL/ELT pipelines, and developing intelligent data solutions that empower our customers to derive meaningful insights from their data. You will collaborate closely with Cloud Architects and senior technical team members to design and deliver high-quality, scalable solutions — spanning data engineering, machine learning infrastructure, and AI-driven applications — aligned with customer needs. Responsibilities: · Implementing data pipelines using AWS services such as Glue, Lambda, Step Functions, and EMR · Creating and maintaining data extraction, transformation, and loading processes · Configuring and optimizing AWS database services including RDS, Aurora, Redshift, and DynamoDB · Implementing data lakes using S3 and related AWS services · Writing and testing SQL queries and stored procedures · Documenting technical solutions and providing knowledge transfer to customers · Supporting the implementation of data governance and security controls · Troubleshooting and resolving issues with data pipelines and services · Participating in code reviews and implementing feedback · Assisting with proof-of-concept implementations for customer engagements Top candidates will have the following: · Technical familiarity with AWS data services and modern data engineering practices · Hands-on experience with ETL/ELT processes and data transformation · Ability to write and optimize SQL queries across various database platforms · Knowledge of data modeling concepts and best practices · Strong analytical and problem-solving skills · Eagerness to learn new technologies and keep up with cloud innovations · Excellent communication skills with the ability to explain technical concepts clearly · Attention to detail and commitment to solution quality · Collaborative mindset with strong teamwork capabilities · Experience or interest in automation and infrastructure as code Required Experience for the Role: · Must have 1-3 years of experience with cloud technologies, preferably AWS · Must have AWS Certified Cloud Practitioner certification or ability to obtain within 3 months · Must have experience with SQL and at least one programming language (Python, Java, etc.) · Must have basic understanding of data engineering concepts and data lifecycle management · Must have familiarity with AWS data services such as S3, RDS, Glue, and Redshift · Must have understanding of data security and access control principles · Must have experience with version control systems (Git) · Must have knowledge of infrastructure as code concepts The salary range provided is a general guideline. When extending an offer, Innovative considers factors including, but not limited to, the responsibilities of the specific role, market conditions, geographic location, as well as the candidate’s professional experience, key skills, and education/training. We are seeking a skilled and motivated Data/AI Cloud Engineer to join our team! In this role, you will play a key part in implementing AWS data and AI/ML services, building ETL/ELT pipelines, and developing intelligent data solutions that empower our customers to derive meaningful insights from their data. You will collaborate closely with Cloud Architects and senior technical team members to design and deliver high-quality, scalable solutions — spanning data engineering, machine learning infrastructure, and AI-driven applications — aligned with customer needs. Responsibilities: · Implementing data pipelines using AWS services such as Glue, Lambda, Step Functions, and EMR · Creating and maintaining data extraction, transformation, and loading processes · Configuring and optimizing AWS database services including RDS, Aurora, Redshift, and DynamoDB · Implementing data lakes using S3 and related AWS services · Writing and testing SQL queries and stored procedures · Documenting technical solutions and providing knowledge transfer to customers · Supporting the implementation of data governance and security controls · Troubleshooting and resolving issues with data pipelines and services · Participating in code reviews and implementing feedback · Assisting with proof-of-concept implementations for customer engagements Top candidates will have the following: · Technical familiarity with AWS data services and modern data engineering practices · Hands-on experience with ETL/ELT processes and data transformation · Ability to write and optimize SQL queries across various database platforms · Knowledge of data modeling concepts and best practices · Strong analytical and problem-solving skills · Eagerness to learn new technologies and keep up with cloud innovations · Excellent communication skills with the ability to explain technical concepts clearly · Attention to detail and commitment to solution quality · Collaborative mindset with strong teamwork capabilities · Experience or interest in automation and infrastructure as code Required Experience for the Role: · Must have 1-3 years of experience with cloud technologies, preferably AWS · Must have AWS Certified Cloud Practitioner certification or ability to obtain within 3 months · Must have experience with SQL and at least one programming language (Python, Java, etc.) · Must have basic understanding of data engineering concepts and data lifecycle management · Must have familiarity with AWS data services such as S3, RDS, Glue, and Redshift · Must have understanding of data security and access control principles · Must have experience with version control systems (Git) · Must have knowledge of infrastructure as code concepts The salary range provided is a general guideline. When extending an offer, Innovative considers factors including, but not limited to, the responsibilities of the specific role, market conditions, geographic location, as well as the candidate’s professional experience, key skills, and education/training.