
Highly Skilled Data Engineering Professional Wanted
5 days ago
We are seeking a highly skilled Data Engineering Lead to join our team.
The ideal candidate will have extensive experience in designing, building and optimizing large-scale data pipelines on Databricks Unified Analytics Platform.
Main Responsibilities:
- Develop and manage scalable ETL/ELT pipelines using PySpark on Databricks.
- Optimize data pipelines for performance, scalability and cost.
- Deploy and manage Databricks on Azure (ADF, Delta Lake, SQL).
- Build CI/CD pipelines (Azure DevOps / GitHub Actions / Jenkins).
Required Skills and Qualifications:
- Technical Skills:
- Python, PySpark, Databricks (Lakehouse, Delta Lake, Databricks SQL).
- Azure Cloud (Data Lake, Synapse), Hadoop, Spark, Kafka.
- SQL & NoSQL databases (PostgreSQL, SQL Server, MongoDB, Cosmos DB).
- Familiarity with MLflow, Kubernetes.
- General Skills:
- Strong problem-solving & analytical mindset.
- Excellent communication & organizational skills.
Benefits:
Join a dynamic team of experts and take advantage of opportunities for professional growth and development.
Candidates should be experienced professionals with strong technical skills and the ability to work effectively in a team environment.
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