
Data Pipeline Architect
1 day ago
We are seeking a highly skilled PySpark developer to join our team in an offshore capacity. This role focuses on designing, building, and optimizing large-scale data pipelines and processing solutions on the Databricks Unified Analytics Platform.
Main Responsibilities:
- 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.
Required Skills and Qualifications:
- A minimum of 4 years of experience in data engineering or distributed systems development.
- Strong programming skills in Python and PySpark.
- Familiarity with Databricks and its ecosystem, including Delta Lake and Databricks SQL.
- Knowledge of big data frameworks like Hadoop, Spark, and Kafka.
Benefits:
- A Bachelor's Degree in Computer Science, Data Engineering, or a related field is preferred.
- Relevant certifications in Databricks, PySpark, or cloud platforms are highly desirable.
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