On behalf of MarketplaceTech Client #1, SD Solutions is looking for a talented Data Engineer.
This role is for someone who takes real ownership, delivers reliably, and can independently drive projects from design through production.
We care as much about execution and accountability as technical ability. The right candidate is proactive, highly available, responsive under pressure, and committed to delivering high-quality systems on time.
SD Solutions is a staffing company operating globally. Contact us to get more details about the benefits we offer.
Responsibilities:
- Design, build, and maintain scalable data pipelines and ETL workflows
- Own data infrastructure and ensure reliability, monitoring, and performance
- Develop and maintain orchestration workflows using Airflow
- Write clean, efficient, production-grade Python code
- Design and optimize PostgreSQL databases, queries, and schemas
- Improve data quality, observability, and operational stability
- Work closely with product, analytics, and engineering teams
- Troubleshoot production issues and take responsibility for end-to-end resolution
- Continuously improve architecture, scalability, and deployment processes
Requirements:
- At least 5+ years of experience as a Data Engineer or similar role
- Strong ownership mentality and high sense of responsibility
- Proven ability to deliver reliably and meet deadlines
- High-level proficiency in Python
- Strong SQL expertise, preferably PostgreSQL
- Deep understanding of:
- Database design
- Query optimization
- Performance tuning
- Data modeling
- Strong debugging and problem-solving skills
- Ability to work independently with minimal supervision
Advantages:
- Experience with Apache Airflow
- Experience with cloud platforms (AWS/GCP/Azure)
- Experience building and maintaining production data pipelines
About the company:
A global provider of market intelligence, trading platforms, and professional services for a specialized luxury commodities sector. Operating through an international network of subsidiaries, the company serves over 10,000 professionals across 70 countries — dedicated to fostering transparent, efficient, and competitive market conditions.
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Skills Required
- At least 5+ years of experience as a Data Engineer or similar role
- Strong ownership mentality and high sense of responsibility
- Proven ability to deliver reliably and meet deadlines
- High-level proficiency in Python
- Strong SQL expertise, preferably PostgreSQL
- Deep understanding of database design
- Deep understanding of query optimization
- Deep understanding of performance tuning
- Deep understanding of data modeling
- Strong debugging and problem-solving skills
- Ability to work independently with minimal supervision
- Experience with Apache Airflow
- Experience with cloud platforms (AWS/GCP/Azure)
- Experience building and maintaining production data pipelines
