
Cloud Architect
1 day ago
We are seeking a seasoned Senior Data Engineer to join our team and play a key role in designing, developing, and deploying scalable data pipelines and ETL processes using Databricks.
Key Responsibilities:
- Design, develop, and deploy efficient data processing jobs using Spark.
- Optimize data storage and ensure high availability of data pipelines.
- Maintain and troubleshoot complex data pipelines and resolve performance bottlenecks.
- Work with cloud platforms such as AWS, Azure, or Google Cloud to integrate Databricks with other services.
Requirements:
- 6+ years of experience in development and maintenance in a data engineering project.
- Collaborate with stakeholders to understand data requirements and translate them into technical solutions.
- Experienced in writing complex SQL queries and knowledge of SQL analytical functions.
- Proficient in building and optimizing data pipelines and workflows in Databricks.
- Knowledge of programming languages such as Python, Scala.
What We Offer:
- A dynamic work environment where you can grow and upskill.
- The flexibility of hybrid work models to do your best work.
- A culture that rewards great work and nurtures leaders from within.
About the Role:
This is a unique opportunity to collaborate with top minds in the industry and deliver cutting-edge solutions that solve real-world challenges.
You Will Be Part of a Team That:
- Streamlines operations and unlocks business value for leading Fortune 500 companies.
- Delivers innovative solutions that drive business growth and customer satisfaction.
- Provides opportunities for growth and development through continuous learning and skill-building.
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