Databricks Engineer

This is an exciting opportunity for an experienced developer of largescale data solutions. You will join a team delivering a transformative cloud hosted data platform for a key Version 1 customer. 

The ideal candidate will have a proven track record as a senior/selfstarting data engineer in implementing data ingestion and transformation pipelines for large scale organisations. We are seeking someone with deep technical skills in a variety of technologies specifically SPARK performancetuningoptimisation and Databricks to play an important role in developing and delivering early proofs of concept and production implementation.

You will ideally have experience in building solutions using a variety of open source tools & Microsoft Azure services and a proven track record in delivering high quality work to tight deadlines.

Your main responsibilities will be:

• Designing and implementing highly performant metadata driven data ingestion & transformation pipelines from multiple sources using Databricks and Spark
• Streaming and Batch processes in Databricks
• SPARK performancetuningoptimisation
• Providing technical guidance for complex geospatial problems and spark dataframes
• Developing scalable and reusable frameworks for ingestion and transformation of large data sets
• Data quality system and process design and implementation.
• Integrating the end to end data pipeline to take data from source systems to target data repositories ensuring the quality and consistency of data is maintained at all times
• Working with other members of the project team to support delivery of additional project components (Reporting tools API interfaces Search)
• Evaluating the performance and applicability of multiple tools against customer requirements
• Working within an Agile delivery / DevOps methodology to deliver proof of concept and production implementation in iterative sprints.

Qualifications :

• Direct experience of building data piplines using Azure Data Factory and Databricks
• Building data integration with Python
• Databrick Engineer certification
• Microsoft Azure Data Engineer certification.
• Hands on experience designing and delivering solutions using the Azure Data Analytics platform.
• Experience building data warehouse solutions using ETL / ELT tools like Informatica Talend.
• Comprehensive understanding of data management best practices including demonstrated experience with data profiling sourcing and cleansing routines utilizing typical data quality functions involving standardization transformation rationalization linking and matching.

Nice to have

• Experience working in a Dev/Ops environment with tools such as Microsoft Visual Studio Team Services Chef Puppet or Terraform
• Experience working with structured and unstructured data including imaging & geospatial data.
• Experience with Open Source nonrelational / NoSQL data repositories (incl. MongoDB Cassandra Neo4J)
• Experience with Azure Event Hub IOT Hub Apache Kafka Nifi for use with streaming data / eventbased data

Additional Information :

At Version 1 we believe in providing our employees with a comprehensive benefits package that prioritises their wellbeing professional growth and financial stability. 

One of our standout advantages is the ability to work with a hybrid schedule along with business travel allowing our employees to strike a balance between work and life. We also offer a range of techrelated benefits including an innovative Tech Scheme to help keep our team members uptodate with the latest technology. 

We prioritise the health and safety of our employees providing private medical and life insurance coverage as well as free eye tests and contributions towards glasses. Our team members can also stay ahead of the curve with incentivized certifications and accreditations including AWS Microsoft Oracle and Red Hat. 

Our employeedesigned Profit Share scheme divides a portion of our companys profits each quarter amongst employees. We are dedicated to helping our employees reach their full potential offering Pathways Career Development Quarterly a programme designed to support professional growth. 

Remote Work :

No

Employment Type :

Fulltime