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| NMB Bank Plc |
Jobs in Tanzania 2022: Job Vacancies at NMB Bank Plc 2022
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AJIRA MPYA TANZANIA 2022 | NAFASI MPYA ZA KAZI 2022
Job Purpose:
To build and maintain optimized and highly available data pipelines that facilitate deeper analysis and reporting.
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Main 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.
- Work with different stakeholders to assist with data-related technical issues and support their data infrastructure needs.
- Work with business users to understand the domain knowledge and troubleshooting of product issues
Knowledge and Skills:
- Understanding of ETL framework and tools
- Understanding of reporting & data visualization tools
- Excellent analytical, creative and problem-solving skills.
- Excellent verbal and written communication skills with the ability to interact effectively with people at all levels.
- Ability to work effectively within a team.
- Ability to prioritize, meet deadlines and work under pressure
- Ability to work independently with minimal supervision
- Attention to detail
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CHECK SCHOLARSHIPS OPPORTUNITIES TO STUDY ABROAD CLICK HERE!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
- Successful history of manipulating processing and extracting value from large disconnected datasets
- Extensive experience working with Hadoop and related processing frameworks such as Spark, Hive, etc.
- 5.0 Year(s)
Job closing date : 10-Mar-2022
Senior Data Scientist (1 Position(s))
Job Purpose:
Support relevant stakeholders through analytics, and the application of appropriate advanced analytics for the business' key initiatives.
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Main Responsibilities:
- Mine, analyze large amounts of data, find hidden patterns and forecast trends and provide reports with recommendations
- Implement advanced analytics use case scenarios for the bank
- Build predictive models and machine-learning algorithms
- Use Data Science techniques/tools to improve processes; Aggregate data from disparate sources
- Translate analytic insights into concrete, actionable recommendations for business or product improvement.
- Identify new opportunities to apply machine learning to business processes
- Design and implement reporting dashboards that can track key business metrics and provide actionable insights;
- Process, cleanse, and validate the integrity of data; Automate data collection and management process
- Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions
- Innovate new modeling techniques and procedures to existing business problems.
Knowledge and Skills:
- Strong mathematical & numeracy skills
- Understanding of reporting & data visualizations tools
- Understanding of ETL framework and tools
- Excellent analytical, creative and problem-solving skills.
- Excellent verbal and written communication skills with the ability to interact effectively with people at all levels.
- Ability to work effectively within a team
- Ability to work independently with minimal supervision
- Ability to prioritize, meet deadlines and work under pressure.
- Attention to detail; Strong data analysis skills
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NEW TANZANIAN JOBS, INTERNSHIPS AND VOLUNTEERING OPPORTUNITIES 2022 (1,253 POSTS)Qualifications and Experience:
- BSc in Computer Science, Data Science, Mathematics or relevant field.
- 5 years of experience in manipulating data sets and building statistical models
- Strong coding skills, such as R, Python or Scala
- Advanced level proficiency in Structured Query Language (SQL).
- Experience with big data platforms and tools including Hadoop, Pig, Hive, Spark and MapReduce
- Experience with SQL and NoSQL databases
- Familiarity with database management, data warehousing, data modeling and data visualization tools.
- Experience in data mining & machine learning algorithms and their implementations
- Experience with manipulating large data sets
- Experience in financial services especially in banking is a bonus
- 5.0 Year(s)
Job closing date : 10-Mar-2022
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