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Senior Data Engineer
Matchdb Talent
Worldwide$125k–175kRemote5mo ago
- Employment
- Full-time
- Seniority
- Senior
About the role
- Build scalable data architectures – Design and implement high-performance data pipelines and cloud-native solutions.
- Optimise big data processing – Develop efficient and cost-effective data solutions using Databricks, Apache Spark™, and Delta Lake.
- Ensure data quality and governance – Implement best practices for data validation, lineage, and security.
- Drive automation and efficiency – Use Python, Scala, or SQL to automate data workflows and streamline processes.
- Collaborate with cross-functional teams – Work with data scientists, analysts, and engineers to deliver data-driven solutions.
- Stay ahead of the curve – Continuously explore new data engineering trends, AI advancements, and cloud technologies.
Qualifications
- 3+ years of experience in data engineering, big data, or cloud data solutions.
- Proficiency in Python, Scala, or SQL for building scalable data pipelines.
- Experience with Databricks, Apache Spark™, and Delta Lake.
- Familiarity with cloud platforms (AWS, Azure) and modern data architectures.
- Understanding of ETL processes, data lakes, and warehouse solutions.
- Excellent problem-solving skills – Able to tackle complex data challenges with innovative solutions.
- A passion for automation, AI, and optimising data workflows.
Preferred Qualifications
- Databricks Certification (e.g., Databricks Certified Data Engineer or ML Associate).
- Experience with real-time streaming architectures (Kafka, Kinesis, or similar).
- Knowledge of AI/ML pipelines and MLOps best practices.
- Prior experience in a consulting or client-facing role.
Benefits
- Be part of an AI-native company – We live and breathe cutting-edge AI and data solutions.
- Work on high-impact projects – We partner with industry leaders to solve some of the toughest data challenges.
- Shape the future of data engineering – Be at the forefront of AI-driven transformation.
- Competitive compensation – We offer a generous salary and performance-based bonuses.
- Flexible work culture – Hybrid and remote work options to fit your lifestyle.
- Grow with us – Access top-tier learning resources, training, and leadership development programs.
Compensation
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