Azure Data Engineer Databricks
Azure Data Engineer Databricks
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Job Description
Azure Data Engineer (Databricks)
Joining Capco means joining an organisation that is committed to an inclusive working environment where youre encouraged to #BeYourselfAtWork. We celebrate individuality and recognize that diversity and inclusion in all forms is critical to success. Its 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 wed 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.
Why Join Capco
Capco is a global technology and business consultancy focused on the financial services sector. We are passionate about helping our clients succeed in an everchanging industry.
You will work on engaging projects with some of the largest banks in the world on projects that will transform the financial services industry.
We are/have:
- Experts in banking and payments capital markets and wealth and asset management
- Deep knowledge in financial services offering including e.g. Finance Risk and Compliance Financial Crime Core Banking etc.
- Committed to growing our business and hiring the best talent to help us get there
- Focused on maintaining our nimble agile and entrepreneurial culture
As a Data Engineer at Capco you will:
- Work alongside clients to interpret requirements and define industryleading solutions
- Design and develop robust well tested data pipelines
- Demonstrate and help clients adhere to best practices in engineering and SDLC
- Excellent knowledge of building eventdriven loosely coupled distributed applications
- Experience in developing both onpremise and cloudbased solutions
- Good understanding of key security technologies protocols e.g. TLS OAuth Encryption
- Support internal Capco capabilities by sharing insight experience and credentials
Why Join Capco as a Data Engineer
- You will work on engaging projects with some of the largest banks in the world on projects that will transform the financial services industry.
- Youll be part of digital engineering team that develop new and enhance existing financial and data solutions having the opportunity to work on exciting greenfield projects as well as on established Tier1 bank applications adopted by millions of users.
- Youll be involved in digital and data transformation processes through a continuous delivery model.
- You will work on automating and optimising data engineering processes develop robust and fault tolerant data solutions both on cloud and onpremise deployments.
- Youll be able to work across different data cloud and messaging technology stacks.
- Youll have an opportunity to learn and work with specialised data and cloud technologies to widen the skill set.
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 semistructured and structured data.
- Proficient in SQL & good understanding of the differences and tradeoffs 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
- 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.
We have been informed of several recruitment scams targeting the public. We strongly advise you to verify identities before engaging in recruitment related communication. All official Capco communication will be conducted via a Capco recruiter.
Employment Type
Full Time
