Description

You will perform the technical implementation of customer data platforms and manage data lifecycle processes.

Responsibilities

• Interface with clients to gather requirements, map solutions, and provide technical recommendations.
• Design and develop custom solutions through the full development lifecycle from specification to production deployment.
• Maintain and support existing solutions, frameworks, and technical specifications.
• Coordinate testing, SIT, and UAT activities according to project scope.
• Collaborate with sales, engagement managers, and domain SMEs to communicate project status and risks.

Required Skills

• 3+ years of experience in ETL development using Big Data technologies.
• 3+ years of experience building large-scale data processing projects using cloud technologies.
• 3+ years of experience with data modeling and tuning of relational and NoSQL datastores.
• Proficiency in programming and scripting languages including .NET, Python, Powershell, Java, Batch, and Bash.
• Experience building and operating highly scalable, fault-tolerant, distributed systems for data extraction, ingestion, and processing.
• Knowledge of software engineering best practices, including version control, CI/CD, and automated unit testing.
• Experience using cloud-native tools and design patterns.
• Understanding of the full SDLC process.
• Degree in computer science, engineering, or equivalent industry experience.

Preferred Skills

• Experience with AWS services including Lambda, Glue, Data Pipeline, Redshift, Aurora, and S3.
• Knowledge of marketing cloud solutions, web analytics, or digital marketing.

Key Skills

Education

Any Graduate