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Jr Data Engineer_London_Hybrid

Posted on May 7, 2025 by Databuzz Ltd
London, United Kingdom
IT
Immediate Start
Annual Salary
Full-Time

About Role:

As a Data Engineer, you will play a crucial role in designing, developing, and maintaining data architecture and infrastructure. The successful candidate should possess a strong foundation in Python, Pyspark, SQL, and ETL processes, with a demonstrated ability to implement solutions in a cloud environment.

Position - Jr Data Engineer
Location - London
Job Type - Hybrid, Permanent

Mandatory Skills:

  • Design, build, maintain data pipelines using Python, Pyspark and SQL
  • Develop and maintain ETL processes to move data from various data sources to our data warehouse on AWS/AZURE/GCP.
  • Collaborate with data scientists, business analysts to understand their data needs & develop solutions that meet their requirements.
  • Develop & maintain data models and data dictionaries for our data warehouse.
  • Develop & maintain documentation for our data pipelines and data warehouse.
  • Continuously improve the performance and scalability of our data solutions.

Qualifications:

  • Minimum 4+ years of Total experience
  • At least 2+ years of Hands on Experience using The Mandatory skills - Python, Pyspark, SQL

Reference: 2944772768

https://jobs.careeraddict.com/post/103267094

This Job Vacancy has Expired!

Jr Data Engineer_London_Hybrid

Posted on May 7, 2025 by Databuzz Ltd

London, United Kingdom
IT
Immediate Start
Annual Salary
Full-Time

About Role:

As a Data Engineer, you will play a crucial role in designing, developing, and maintaining data architecture and infrastructure. The successful candidate should possess a strong foundation in Python, Pyspark, SQL, and ETL processes, with a demonstrated ability to implement solutions in a cloud environment.

Position - Jr Data Engineer
Location - London
Job Type - Hybrid, Permanent

Mandatory Skills:

  • Design, build, maintain data pipelines using Python, Pyspark and SQL
  • Develop and maintain ETL processes to move data from various data sources to our data warehouse on AWS/AZURE/GCP.
  • Collaborate with data scientists, business analysts to understand their data needs & develop solutions that meet their requirements.
  • Develop & maintain data models and data dictionaries for our data warehouse.
  • Develop & maintain documentation for our data pipelines and data warehouse.
  • Continuously improve the performance and scalability of our data solutions.

Qualifications:

  • Minimum 4+ years of Total experience
  • At least 2+ years of Hands on Experience using The Mandatory skills - Python, Pyspark, SQL

Reference: 2944772768

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