
Transformative Data Specialist
4 days ago
About the Opportunity:
We're seeking a detail-driven, high-impact Data Engineer who excels at execution and delivery.
This role is ideal for someone who thrives on building robust data pipelines, leveraging Python and PySpark to drive business outcomes.
Key Responsibilities:
- Design, deploy, and manage scalable data pipelines using Python and PySpark
- Develop and optimize ETL/ELT processes to support seamless data integration across systems
- Work directly with cloud services to implement cutting-edge data solutions
- Own data workflows end-to-end — from ingestion to transformation to storage
- Continuously monitor and improve pipeline reliability, speed, and data quality
- Apply GenAI and automation tools to streamline development and reduce manual effort
- Proactively debug, troubleshoot, and resolve complex data engineering issues
- Ensure data is available and trustworthy for analytics and downstream systems
Required Skills & Qualifications:
- Strong proficiency in Python and PySpark
- Hands-on experience with cloud platforms like GCP and/or AWS
- Solid understanding of ETL/ELT, data warehouse, and data lake concepts
- Proficient in working with relational databases—preferably PostgreSQL and MySQL—as well as non-relational databases, with a focus on MongoDB
- Driven by results-oriented approach with minimal need for hand-holding
- Self-starter attitude with a passion for automating work using GenAI or scripting tools
- Familiarity with SCD, CDC, real-time streaming vs batch-processing
Benefits:
- High-impact role where execution speed is valued and recognized
- Autonomy to build, ship, and iterate without unnecessary constraints
- Opportunity to innovate with Generative AI tools and technologies
- Fast learning environment and ownership from day one
What We Offer:
A collaborative, lean, and high-performing data team that values innovation and efficiency.
Are you a detail-oriented professional who prioritizes execution and delivery? Apply now to join our team of skilled data engineers and help us build impactful data infrastructure.
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