Our client is looking for an experienced Data engineer to drive development of information products for data and digital transformation across their group.
Master of Business Administrations or master's in quantitative fields (Computer Science, Statistics or similar) with minimum of 5 - 12 years of overall experience.
Experience programming in Python, Java, SQL, PLSQL.
Experience with traditional RDBMS based systems and more modern NoSQL technology stacks.
Expertise building ETL and data pipelines on Databricks.
Experience working with Big Data technologies such as Hadoop, Cloudera (CDH), Hortonworks (HDP), DataBricks, Spark, Delta, HDFS, HBase, Hive.
Experience in event streaming with Kafka.
Experience in ML Model Productionization, Docker.
Real Time, Batch, Unstructured Data, DW, MDM, Data Marts.
Proficient in using data visualization tool such as Tableau, Power BI, D3, AmCharts etc.
Understanding FS industry fundamentals and business problems to find new ways to leverage data.
Intellectual curiosity to solve data driven problems.
Independent thoughts and unique ideas on solving business problems.
Able to collaborate / virtually manage multi-cultural, multi-disciplined, globally dispersed teams.
Sound understanding of functional areas and analytics problems in areas of Customer, Marketing, Channel, Pricing, Digital, Operations, HR/Corporate analytics.
String communication skills to be able to explain highly technical problems in simple layman form.
Ability to articulate the impact of decisions and recommend improvements.
Relevant experience in Banking and financial institutions.
Exceptional data engineering & visualization experience & technical skills. State-of-the-art expertise across, data/information preparation and data insight & visualization using BI (or similar tools).
Be a data engineering & visualization technical expert. Lead and explain/educate to all levels people in these areas, Coding Databases, Data Integration, Frameworks, Deployment, Architectures and Visualization.
Contribute to the development of in-house data products. Use your data engineering & visualization expertise plus FS domain & functional knowledge, problem solving skills and independent thinking to create in-house data analytics and data management products.
Be a team player & an individual contributor. Work with group data office and other business function people as part of larger deliveries, as well as being able to work independently or in small teams to continuously deliver business value.
Be a trusted partner of our client. Someone that anyone in the company can reach out to for help with creating data engineering & visualization driven business transformation.
Those who are keen for the role and would like to discuss the opportunity further, please click "Apply Now" or email Alimpan at email@example.com with your updated CV.
Only shortlisted candidates will be responded to, therefore if you do not receive a response within 14 days please accept this as notification that you have not been shortlisted.