Data Engineering Specialist
3 weeks ago
About Neudesic
We are a leading technology consulting firm, and we're seeking skilled professionals to join our Data and AI Practice.
Our team is passionate about leveraging big data technologies to drive business value for our clients. As a Databricks Engineer, you will play a critical role in designing, building, and maintaining scalable data pipelines using Apache Spark and Databricks.
Key Responsibilities:
- Design and implement ETL/ELT workflows using Azure Databricks and Apache Spark
- Integrate data from various sources, including Azure Data Lake, SQL databases, API services, and cloud storage
- Automate data ingestion, cleansing, transformation, and validation processes
- Leverage Databricks for large-scale data processing and distributed computing
- Optimize and tune Apache Spark jobs for efficient data handling
- Collaborate with cross-functional teams to develop advanced analytics and machine learning workflows
Skills and Qualifications:
- 3+ years of experience with Databricks and Apache Spark for big data processing
- Experience with Azure services, particularly Azure Data Lake Storage, Azure Synapse, and Azure Blob Storage
- Strong proficiency in Python, SQL, and Scala for data engineering tasks
- Excellent communication skills and ability to collaborate with cross-functional teams
Salary Range: $120,000 - $180,000 per year
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