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GCP with PySpark - Lead

GCP with PySpark - Lead

UST

3 - 7 years

0 Lacs

kochi kerala

Posted:1 day ago| Platform: Shine logo

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Skills Required

gcp data processing cloud storage data engineering data cleansing data enrichment data validation data modeling data warehousing python sql scala programming languages pyspark etl workflows bigquery dataflow data storage solutions data transformations etl processes

Work Mode

On-site

Job Type

Full Time

Job Description

Role Overview: You will play a crucial role in designing and implementing efficient data solutions on the Google Cloud Platform (GCP). Your strong data engineering skills, GCP expertise, and proficiency in data processing technologies, particularly PySpark, will be essential in this role. Key Responsibilities: - Design, implement, and optimize end-to-end data pipelines on GCP with a focus on scalability and performance. - Develop and maintain ETL workflows for seamless data processing. - Utilize GCP services such as BigQuery, Cloud Storage, and Dataflow for effective data engineering. - Implement and manage data storage solutions on GCP. - Leverage PySpark for advanced data transformations, ensuring high-quality and well-structured output. - Implement data cleansing, enrichment, and validation processes using PySpark. Qualifications Required: - Proven experience as a Data Engineer, with a strong emphasis on GCP. - Proficiency in GCP services such as BigQuery, Cloud Storage, and Dataflow. - Expertise in PySpark for data processing and analytics is a must. - Experience with data modeling, ETL processes, and data warehousing. - Proficiency in programming languages such as Python, SQL, or Scala for data processing. - Relevant certifications in GCP or data engineering are a plus.,

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GCP with PySpark - Lead