Senior Data Engineer_London_Hybrid
Posted 14 days ago
- Lambeth, Greater London
- Permanent
- £60,000 to £70,000 /Yr
- Sponsored
- Expires In 15 days
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 - Senior Data Engineer
Experience - 6+ yrs
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 6+ years of Total experience.
* At least 4 years of Hands on Experience using The Mandatory skills - Python, Pyspark, SQL
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 - Senior Data Engineer
Experience - 6+ yrs
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 6+ years of Total experience.
* At least 4 years of Hands on Experience using The Mandatory skills - Python, Pyspark, SQL