Senior Data Engineer Job at National Merchant Bank
Senior Data Engineer Job at National Merchant Bank… See details on how to apply for the opportunities available at National Merchant Bank.
Descriptions;
Advertisements
NMB Bank is a commercial bank in Tanzania. It is licensed by the Bank of Tanzania, the central bank, and the national banking regulator.
Responsibilities:
- Design, implement and maintain the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and ‘big data’ technologies into a Data Warehouse based on internal process improvements, automation and optimization of data delivery.
- Identify, design and implement internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes
- Design and build solutions to empower users to perform self-serve analytics needs.
- Assemble large, complex data sets that meet functional / non-functional business requirements and design custom ETL and ELT processes.
- Implement enhancements and new features across data infrastructure systems including Data warehouse, ETL, Master Data Management & BI platform
- Maintain the overall data infrastructure systems
- Troubleshoot data issues, data platforms and perform root cause analysis
- Design and implement data products and features in collaboration with product owners, data analysts, and business partners using Agile / Scrum methodology
- Design and build an optimal organizational data infrastructure and architecture for optimal extraction, transformation, and loading of large data volumes from a wide variety of data sources using SQL and Azure, AWS big data technologies.
- Profile and analyze data for the purpose of designing scalable solutions
- Define and apply appropriate data acquisition and consumption strategies for given technical scenarios
- Work with architecture and other teams to ensure quality solutions are implemented, and engineering best practices are defined and adhered to
- Anticipate, identify and solve issues concerning data management to improve data quality.
- Work with analytics tools that utilize the data pipeline to provide actionable insights into operational efficiency and other key business performance metrics.
- Advise on the best tools/services/resources to build robust data pipelines for data ingestion, connection, transformation, and distribution
- Transform data and engineer new features for machine learning models
- Perform deep-dive analysis including the application of advanced analytical techniques to solve some of the more critical and complex business problems
- Create new methods to visualize core business metrics through reports, dashboards, and analytics tools.
Qualifications and Experience:
- BSc in Computer Science, Computer Engineering, Data Science, or relevant field.
- Strong programming experience in SQL, Python, R
- 5 years of experience in data engineering role
- 3 years of big data experience
- Experience in building and optimizing data warehouse and big data pipeline architectures
- Experience with design, development and maintenance of ETL tools
- Experience with maintenance and troubleshooting of BI platforms; SQL and NoSQL databases
- Experience in data mining & machine learning
- Extensive experience working with Hadoop and related processing frameworks such as Spark, Hive, etc.
How to Apply
Submit your CV and Application on Company Website: Click Here
Advertisements
Advertisements
Application Deadline: 10th March 2022
Advertisements
