Data Pipeline Engineer

About the Company

Company Profile : ProductSquads was founded with a bold mission : to engineer capital efficiency through autonomous AI agents, exceptional engineering, and real-time decision intelligence. We’re building an AI-native platform that redefines how software teams deliver value—whether through code written by humans, agents, or both. Our stack combines agentic AI systems, ML pipelines, and high-performance engineering workflows. This is your chance to build not just models, but systems that think, decide, and act. We’re developing AI fabric tools, domain-intelligent agents, and real-time decision systems to power the next generation of product delivery

Job Summary :

We are seeking a skilled and detail-oriented Data Engineer to join our growing team. The ideal candidate will be responsible for designing, building, and maintaining scalable data pipelines and architectures Experience with big data technologies, cloud platforms, and ETL processes is essential us to play a key role in driving data-driven decision-making across the organization.

Responsibilities

• Design, develop, and maintain scalable ETL / ELT pipelines on AWS cloud infrastructure.
• Build and manage data lakes, data warehouses, using AWS services (e.G., S3, DMS, Glue, Athena, Redshift, EMR, Lambda).
• Implement data quality checks, monitoring, logging, and alerting for pipelines.
• Optimize data workflows for performance, scalability, and cost-efficiency.
• Collaborate with cross-functional teams including Data Science, Operations, and Product teams to integrate and deliver data-driven solutions.
• Ensure compliance with data governance, security, and privacy standards.
• Write clear, maintainable documentation and contribute to data engineering best practices.
• Carrying out POCs on new and emerging technologies to meet business requirements.
• Experience with AWS Bedrock as well as integrating LLMs into data workflow and applications.
• Engineer and optimize LLM prompts for tasks such as data classification, summarization, enrichment, and semantic search.
• Create API services allowing applications to access the data using Python and AWS technologies (Lambda, API Gateway, etc).

Qualifications

Required Skills

Preferred Skills