February 7, 2024
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London, England, United Kingdom, United Kingdom
February 7, 2024
Apply NowJob description
Position : AWS Data Engineer-Permanent-Hybrid
Location : London - (1/2 Days from Office)
Job Type : Permanent
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.
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 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 6-8 Yrs Of Total Experience
Atleast 4 years of Hands on Experience using The Mandatory skills - Python, Pyspark, SQL
Location : London - (1/2 Days from Office)
Job Type : Permanent
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.
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 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 6-8 Yrs Of Total Experience
Atleast 4 years of Hands on Experience using The Mandatory skills - Python, Pyspark, SQL
