Lead Data Engineer

UST is looking for a talented GCP Data Engineer with 6 to 10 years of experience to join our team and play a crucial role in designing and implementing efficient data solutions on the Google Cloud Platform (GCP). The ideal candidate should possess strong data engineering skills, expertise in GCP services, and proficiency in data processing technologies, particularly PySpark.

Responsibilitie

s:Data Pipeline Developmen

t:Design, implement, and optimize end-to-end data pipelines on GCP, focusing on scalability and performanc

e.Develop and maintain ETL workflows for seamless data processin

g.GCP Cloud Expertis

e:Utilize GCP services such as BigQuery, Cloud Storage, and Dataflow for effective data engineerin

g.Implement and manage data storage solutions on GC

P.Data Transformation with PySpar

k:Leverage PySpark for advanced data transformations, ensuring high-quality and well-structured outpu

t.Implement data cleansing, enrichment, and validation processes using PySpar

k.


Requirem

• ents:Proven experience as a Data Engineer, with a strong emphasis on
• GCP.Proficiency in GCP services such as BigQuery, Cloud Storage, and Data
• flow.Expertise in PySpark for data processing and analytics is a
• must.Experience with data modeling, ETL processes, and data warehou
• sing.Proficiency in programming languages such as Python, SQL, or Scala for data proces
• sing.Relevant certifications in GCP or data engineering are

plus.

Skills
GCP,