At a Glance
- Tasks: Design and develop scalable data pipelines and optimise data solutions using cutting-edge technologies.
- Company: Join a forward-thinking company that values innovation and collaboration.
- Benefits: Enjoy competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Be part of a team that embraces Agile methodologies and fosters career advancement.
- Why this job: Make a real impact by delivering secure and scalable data solutions in a dynamic environment.
- Qualifications: Experience with Databricks, PySpark, and Azure services is essential.
The predicted salary is between 60000 - 80000 £ per year.
Key Responsibilities
- Design and develop scalable ETL/ELT pipelines using
- Databricks and
Py Spark .
- Build and optimize
- Delta Lake and
Postgre SQL data solutions.
- Develop dimensional data models and data marts.
- Implement Azure services including
- ADLS, ADF, Key Vault, Azure Monitor , and
Azure Dev Ops .
- Build dashboards using
Apache Superset and optimize SQL query performance.
- Implement data quality, validation, CDC frameworks, and CI/CD best practices.
- Collaborate with cross-functional teams to deliver secure and scalable data solutions.
- Required Skills
- Databricks
- Py Spark
- Python
- Azure
- Delta Lake
- Postgre SQL
- Advanced SQL
- ETL/ELT
- Data Modeling
- Azure Data Factory (ADF)
- ADLS
- Azure Dev Ops
- Preferred Skills
- Unity Catalog
- Delta Live Tables (DLT)
- Databricks Workflows
- Terraform/Bicep
- Apache Superset
- Power BI
- Agile
- #J-18808-Ljbffr
Senior Data and Analytics Engineer employer: 9NEXUS
As a Senior Data and Analytics Engineer at our company, you will thrive in a dynamic work culture that prioritises innovation and collaboration. We offer competitive benefits, including professional development opportunities and a commitment to employee growth, all within a vibrant location that fosters creativity and teamwork. Join us to make a meaningful impact while enjoying the unique advantages of working in a forward-thinking environment.
We think you need these skills to ace Senior Data and Analytics Engineer
Databricks
PySpark
Python
Azure
Delta Lake
PostgreSQL
Advanced SQL
