Data Engineer (AWS | Python | PySpark | SQL)

We’re Hiring: Data Engineer (AWS | Python | PySpark | SQL)

Work Type:

Experience:

Notice Period:

About the Role:

We are seeking a highly skilled Data Engineer

Key Responsibilities:

• Design and implement scalable data pipelines using AWS services and PySpark.
• Develop data workflows and ETL processes using Python and SQL.
• Optimize and manage Redshift databases for performance, scalability, and data integrity.
• Monitor, troubleshoot, and optimize data systems for cost-effectiveness and efficiency.

Must-Have Skills:

• Redshift

  – Expertise in advanced querying, optimization, and database management.

• AWS

  – Hands-on experience with Glue, S3, EMR, Lambda.

• Python

  – Strong scripting, automation, and data transformation skills.

• PySpark

  – Proven experience handling large datasets and distributed data processing.

Nice-to-Have Skills:

• Familiarity with data warehousing concepts and big data architecture.

Why Join Us?

• 100% remote work flexibility.
• Opportunity to work on cutting-edge data engineering projects.
• Collaborative and innovative work culture.

• Compensation:

  Competitive and commensurate with skills and experience — no limits for exceptional talent.
• 📩

  Apply now

  and be part of a team that’s redefining data-driven solutions.

hr@namasys.ai.