PRINCIPAL AZURE DATA ENGINEER (DATABRICKS)

Joining Capco means joining an organisation that is committed to an inclusive working environment where you’re encouraged to #BeYourselfAtWork. We celebrate individuality and recognize that diversity and inclusion, in all forms, is critical to success. It’s important to us that we recruit and develop as diverse a range of talent as we can and we believe that everyone brings something different to the table – so we’d love to know what makes you different. Such differences may mean we need to make changes to our process to allow you the best possible platform to succeed, and we are happy to cater to any reasonable adjustments you may require. You will find the section to let us know of these at the bottom of your application form or you can mention it directly to your recruiter at any stage and they will be happy to help.

SKILLS & EXPERTISE:

You will have experience working with some of the following Methodologies/Technologies;

REQUIRED SKILLS

• Hands on working experience of the Databricks platform. Must have experience of delivering projects which use DeltaLake, Orchestration, Unity Catalog, Spark Structured Streaming on Databricks.
• Extensive experience using Python, PySpark and the Python Ecosystem with good exposure to python libraries.
• Experience with Big Data technologies and Distributed Systems such as Hadoop, HDFS, HIVE, Spark, Databricks, Cloudera.
• Experience developing near real time event streaming pipelines with tools such as – Kafka, Spark Streaming, Azure Event Hubs.
• Excellent experience in the Data Engineering Lifecycle, you will have created data pipelines which take data through all layers from generation, ingestion, transformation and serving.
• Experience of modern Software Engineering principles and experience of creating well tested, clean and applications.
• Experience with Data Lakehouse architecture and data warehousing principles, experience with Data Modelling, Schema design and using semi-structured and structured data.
• Proficient in SQL & good understanding of the differences and trade-offs between SQL and NoSQL, ETL and ELT.
• Proven experience DevOps and using building robust production data pipelines, CI/CD Pipelines on e.g. Azure DevOps, Jenkins, CircleCI, GitHub Actions etc.

DESIRABLE SKILLS

• Having a strong commercial focus and the ability to develop client relationships, spearhead sales opportunities and Data Engineering propositions.
• An appetite to contribute to the wider Capco business outside of project assignments. This can be achieved through various means including thought leadership activities, supporting RFP’s and the coaching/mentoring of more junior engineering team members.
• Experience Developing in other languages e.g. Scala/Java.
• Enthusiasm and ability to pick up new technologies as needed to solve problems.
• Exposure to working with PII, Sensitive Data and understands data regulations such as GDPR.

Please refer the Job description for details