Data Engineer
The Position
The Data Engineering role
will be within the Data & Analytics Unit in Strategy Division.
Reporting to the Head of
Data and Analytics, the role holder will leverage creativity, business
intuition, excellent communication, analytics, problem solving skills, and data
management skills to manage data sourcing and processing workflows, advanced
analytics ETL processes, data profiling solutions and automation of Analytics
deployments.
Key Responsibilities
- Together
with the Data Scientist, partner with business leaders to ensure an
in-depth understanding of requirements and the data required to create
advanced analytics solutions.
- Enable
automation of advanced analytics solutions using data science algorithms
and data structures associated with advanced analytics.
- Create
and maintain data pipelines which will involve data sourcing, extraction,
transformation, profiling, storage, updating, indexing and maintenance of
the advanced analytics data platform.
- Develop
and automate metrics, dashboards and reports that consistently monitor and
show data governance initiative trends (e.g. data quality reports) through
the implementation of guidelines, standards and best practices for data
management.
- Process
raw, structured and unstructured data at scale (including writing scripts,
web scraping, calling APIs, writing SQL queries etc.) into a form suitable
for analysis then consolidate into a data platform for consumption by
advanced analytics initiatives.
- Drive
innovation through continuous re-engineering of data and advanced
analytics jobs, extensive performance tuning and optimizing the
application of data across all advanced analytics layers (acquisition,
staging, profiling, cleansing, analysis, modelling, output).
- Work
with Business customers to understand business requirements and implement
data solutions with business owners through the development of key
business questions and datasets that will be used to answer those
questions.
- Help
implement data management projects by working with key stakeholders
(Technology and Business) and provide expert input, guidance, and feedback
in such projects.
- Work
closely with product owners and business analysts to develop insights and
data solutions.
- Develop
and maintain technical documentation/manuals on configurations, setups and
deployment of various advanced analytics solutions.
The Person
For the above position,
the successful applicant should have the following:
- Bachelor’s
degree in Computer Science, Information Technology, Engineering,
Mathematics or equivalent combination of education and experience.
- 4
years in a Data Engineering (or BI Development) Role.
- Proficiency
in SQL (Oracle PL/SQL), Python, Data Modelling, Warehousing and Wrangling
Techniques.
- Experience
in use of any ETL tool e.g., Oracle ODI/Microsoft SSIS/SAP Data
services/Alteryx or any other tool.
- Experience
in use of any Data Visualization tool such as OBIEE/Power BI/Tableau/SAP
BI tools or any other tool.
- Experience
in collecting, organizing, analyzing, and storing large datasets from
various sources (relational databases, semi-structured data in text files,
logs and unstructured data in pdf files, websites etc.) with attention to
detail and accuracy.
- Must
have good understanding of software development practices, python
programming language (specifically data engineering and data science) and
database programming using Oracle PL/SQL.
- Experience
with various data modeling techniques, data warehousing concepts and data
management principles.
- Working
knowledge and exposure to Data Visualization and ETL tools.
- Ability
to multi-task, respond well to pressure and deadlines, influence others,
work well individually and in a team environment.
- Must
have a broad understanding of data governance concepts, data quality, data
protection and privacy laws.
How to Apply
The above position is
demanding; for which the Bank will provide a competitive remuneration package
to the successful candidate. If you believe you can clearly demonstrate your
abilities to meet the criteria given above, please log in to our Recruitment
portal and submit your application with a detailed CV.
To be considered your
application must be received by Wednesday 1st February 2023.
Qualified candidates with
disability are encouraged to apply.
Only short-listed
candidates will be contacted.
