We are looking for an experienced Data Engineer to design, build, and optimize scalable data pipelines and analytics solutions. The ideal candidate will have strong hands-on experience with cloud-based data platforms, big data processing, and analytics engineering best practices.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines using AWS EMR, PySpark, and Python
• Work closely with analytics and business teams to build reliable and high-performance data models
• Optimize data processing workflows for performance, reliability, and cost
• Ensure data quality, integrity, and consistency across data platforms
• Implement CI/CD practices for data pipelines using modern DevOps tools
• Collaborate using version control and follow best engineering practices

Must-Have Skills

• Strong experience with AWS (especially EMR)
• Hands-on experience in Python and PySpark
• Strong SQL and analytical skills
• Experience with data pipeline orchestration and tooling
• Working knowledge of GitHub for version control
• Experience with Jenkins or similar CI/CD tools
• Familiarity with dbt

Good-to-Have Skills

• Experience with Terraform or other Infrastructure-as-Code tools
• Deeper hands-on expertise with dbt
• Exposure to cloud cost optimization and data governance

Nice to Have

• Experience working in Agile environments
• Strong communication and stakeholder collaboration skills

What We Offer

• Opportunity to work on large-scale, modern data platforms
• Collaborative and engineering-driven culture
• Competitive compensation and benefits