Data Engineer - Synpulse

Are you excited about transforming the way we bank by using the latest technology? We are too!

About the job:

• Develop processes of the ingestion of data using various programming languages, techniques and tools from systems implemented using Oracle, Teradata, SAP, and Hadoop technology stack.
• Evaluate and make decisions around dataset implementations designed and proposed by peer engineers.
• Build large consumer database models for financial planning & analytics including Balance Sheet, PnL, Cost Analytics and Related Ratios
• Develop ETL, real time and batch data processes feeding into in-memory data infrastructure.
• Perform and document data analysis, data validation, and data mapping/design.
• Work with clients to solve business problems in fraud, compliance and financial crime and present project results.
• Use emerging and open-source technologies such as Spark, Hadoop, and Scala.
• Collaborate on scalability issues involving access to massive amounts of data and information.
• You should be comfortable with working with high profile clients on their sites.

You:

• Bachelor's Degree in Computer Science, Physics, Mathematics, or similar degree or equivalent.
• Experience with open source big-data tools, such as Spark, Hadoop, and specially Scala.
• Quantexa Certification preferred.
• 2-6 years of experience working in the Financial Services sector on big data project implementations.
• Client facing experience, good communication and presentation skills.
• Enthusiasm to learn and develop emerging technologies and techniques.
• Strong technical communication skills with demonstrable experience of working in rapidly changing client environments.
• Demonstrate strong analytical and problem-solving skills and the ability to debug and solve technical challenges with sometimes unfamiliar technologies.

We:

• Want to transform what banking means with you!
• Are inclusive and diverse
• Will guide you
• Are committed to creating a flexible, supportive work environment that helps you effectively manage your work and family commitments
• Embrace innovate-thinking and entrepreneurship in everything we do
• Are award winning and known for our commitment to outcomes
• Apply the latest tech and new ways of working
• Support your personal growth

Your documents to start the process:

• Your link to your git/code repo
• A short summary of you
• Resume or CV

• Develop processes of the ingestion of data using various programming languages, techniques and tools from systems implemented using Oracle, Teradata, SAP, and Hadoop technology stack.
• Evaluate and make decisions around dataset implementations designed and proposed by peer engineers.
• Build large consumer database models for financial planning & analytics including Balance Sheet, PnL, Cost Analytics and Related Ratios
• Develop ETL, real time and batch data processes feeding into in-memory data infrastructure.
• Perform and document data analysis, data validation, and data mapping/design.
• Work with clients to solve business problems in fraud, compliance and financial crime and present project results.
• Use emerging and open-source technologies such as Spark, Hadoop, and Scala.
• Collaborate on scalability issues involving access to massive amounts of data and information.
• You should be comfortable with working with high profile clients on their sites.
• Bachelor's Degree in Computer Science, Physics, Mathematics, or similar degree or equivalent.

Full-time