Data Engineer
3 weeks ago
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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