
Lead Big Data Developer
4 days ago
We are seeking a skilled big data engineer with experience in Databricks to design, build, and optimize large-scale data pipelines and processing solutions.
- Develop and manage data pipelines using PySpark on Databricks.
- Implement ETL/ELT processes to process structured and unstructured data at scale.
- Optimize data pipelines for performance, scalability, and cost-efficiency in Databricks.
Technical Requirements:
- 4+ years of experience in data engineering or distributed systems development.
- Strong programming skills in Python and PySpark.
- Hands-on experience with Databricks and its ecosystem, including Delta Lake and Databricks SQL.
Additional Skills:
- Knowledge of Hadoop, Spark, and Kafka frameworks.
- Proficiency in setting up and managing Databricks Workspaces, Clusters, and Jobs.
- Cloud Platforms: Expertise in deploying Databricks solutions on Azure (e.g., Data Lake, Synapse).
Education Requirements: A Bachelors Degree in Computer Science, Data Engineering, or a related field is preferred.
General Qualifications: Strong analytical and problem-solving skills. Ability to manage multiple tasks in a high-intensity, deadline-driven environment. Excellent communication and organizational skills.
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