Big Data Solutions Architect
15 hours ago
The role of a Big Data Solutions Architect is to design and build scalable data pipelines using Python and PySpark. This involves collaborating closely with business stakeholders, solution architects, and data analysts to deliver efficient, scalable, and high-quality data solutions.
Key Responsibilities- Design and build ETL pipelines using Python and PySpark
- Ensure data quality, reliability, and governance across systems and pipelines
- Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions
- Perform performance tuning and troubleshooting of big data applications
Requirements
- 3-10 years of professional experience in data engineering, preferably in utility or energy industries
- Strong proficiency in Python programming
- Hands-on experience with PySpark for big data processing
We are seeking a skilled Data Engineer who can help us drive business growth through innovative data solutions. Our ideal candidate will have expertise in designing and implementing scalable data pipelines using Python and PySpark.
About the RoleThis is a fantastic opportunity for a motivated and experienced Data Engineer to join our team and contribute to the development of our data infrastructure. The successful candidate will be responsible for designing and building ETL pipelines, ensuring data quality and reliability, and collaborating with cross-functional teams to deliver high-quality data solutions.
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