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5 days ago
This senior data engineer role involves designing, building, and configuring large-scale data systems to meet business process requirements.
About the Role:We are seeking a highly skilled data engineer to join our team. As a senior data engineer, you will be responsible for architecting and implementing complex data pipelines using PySpark and Databricks.
Key Responsibilities include:
- Designing and developing scalable data pipelines using PySpark and SQL in Databricks to handle large-scale data transformations and batch/streaming workloads.
- Implementing ETL processes by leveraging Databricks notebooks, Delta Lake, and Python-based custom scripts for data ingestion and curation.
- Collaborating with data analysts and stakeholders to understand data needs and deliver accurate, performant, and reusable data solutions.
- Maintaining and monitoring job performance, identifying bottlenecks, and applying tuning techniques to improve pipeline efficiency on the Databricks platform.
To be successful in this role, you should have:
- Minimum 5 years of experience in Microsoft Azure Analytics Services.
- A deep understanding of DataFrame APIs.
- Expertise in Spark optimization techniques.
As a senior data engineer, you will enjoy a range of benefits including:
- Opportunities for career growth and professional development.
- A competitive salary and benefits package.
- The chance to work with a talented team of data engineers and analysts.
We are committed to creating an inclusive and diverse workplace culture that values equality, respect, and open communication.
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