Data Engineer

3 weeks ago


Delhi, India Namasys Analytics Full time

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

Work Type: 100% Remote

Experience: 5–7 years

Notice Period: Immediate joiners preferred; up to 15 days acceptable


About the Role:

We are seeking a highly skilled Data Engineer to design, develop, and optimize robust data pipelines and cloud-based architectures. You will work with cutting-edge AWS services, Python, PySpark, SQL, and Redshift to deliver scalable, reliable, and high-performance data solutions.


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.


Interested candidates may share their resumes at


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