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Senior Data Warehouse Developer

Momentum Insure Company Limited -
Centurion, Gauteng

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Job Details

Permanent

Full Job Description

Introduction

Momentum Group Limited (Momentum Group) is a significant player in South Africa's life insurance and integrated financial services sectors. We are a proud Level 1 B-BBEE South African-based group dedicated to building and protecting our clients' financial dreams. Our client-facing retail and specialist brands, including renowned names such as Momentum, Metropolitan, Guardrisk, and Eris Properties, play a pivotal role in fulfilling this purpose.

Our federated model emphasises empowerment, accountability, and continuous engagement with all our stakeholders. Designed in close consultation with leaders across the group, this operating model aims to unleash each business unit's inherent energy and commercial drive through our collaborative federated approach. Visit us at www.momentumgroupltd.co.za

Disclaimer

As an applicant, please verify the legitimacy of this job advert on our company career page.

Role Purpose

We're looking for a skilled and experienced Senior Data Warehouse Developer to join our team. In this pivotal role, the Senior Data Warehouse Developer will be instrumental in designing, developing, and maintaining our data warehouse solutions, ensuring data integrity, performance, and accessibility.

The Senior Data Warehouse Developer will also be responsible for gathering, analyzing, and interpreting data from various sources, extracting clear, precise, and actionable insights. A key part of the role will be to present these insights using easily understandable data representations for both technical and non-technical audiences.

Requirements

Proven experience (5 years) as a Data Warehouse Developer or in a similar role.

3-year degree in Mathematics, Economics, Computer Science, Information Management or Statistics

Introductory Cloud Certification - Desirable

Strong proficiency in SQL and experience with various relational and non-relational databases.

Extensive experience with ETL/ELT tools and methodologies (e.g., SSIS, Data Factory, Informatica, Talend, etc.).

Solid understanding of data warehousing concepts, including Kimball and Inmon methodologies.

Experience with data modeling (dimensional modeling, snowflake, star schemas).

Familiarity with cloud data platforms (e.g., Azure Synapse, AWS Redshift, Google BigQuery) is a plus.

Experience with data visualization tools (e.g., Power BI, Tableau) is beneficial.

Excellent problem-solving, analytical, and communication skills.

Ability to work independently and as part of a team.

Advantageous experience:

Experience with big data technologies (e.g., Spark, Hadoop).

Knowledge of scripting languages (e.g., Python, PowerShell).

Experience with version control systems (e.g., Git).

Experience in ETL and visualisation tools (e.g. SQL, Informatica, QlikView, PowerBI etc.)

Duties & Responsibilities

Internal Process

Develop Power BI solutions, working from high level technical requirements in line with business requirements.

Quality assurance checks on all new Power BI project functionality and business requirements.

Produce documentation for code written.

Configure real-time replication of data from source system to the Data Warehouse, using tools like Stelo SQDR

Partake in a roster of Operational Support, troubleshooting errors, and data queries on existing reporting.

Basic interaction and collaboration with technical stakeholders to identify data sources, find data definitions for master and meta data as well as formulate and implement solutions.

Promote the use of existing enterprise and divisional data standards to enhance data quality, ensure constant compliance and adherence to data governance principles.

Promote reusability, maintainability, reliability, and scalability in design and development of data solutions.

Process live and confidential data according to specified guidelines.

Convert Legacy Excel reports to PowerBI

Development and design of professional reports and dashboards to support various stakeholders within the company.

Testing, debugging and reconciliation of data to source data to ensure data integrity.

Ensure accuracy and integrity of data and its attribution to costs incurred by business.

Communicate progress, including easily understandable representation of the data.

Pro-active in suggesting for opportunities as well as making analytical observations on any aspect that would be beneficial to business.

Design, develop, and implement robust and scalable data warehouse solutions.

Develop, maintain, and optimize ETL/ELT processes to ensure efficient data extraction, transformation, and loading.

Collaborate with stakeholders, including business analysts and data scientists, to understand data requirements and translate them into technical specifications.

Ensure data quality, accuracy, and consistency across all data warehouse components.

Monitor and optimize data warehouse performance, troubleshooting issues as they arise.

Implement data governance and security best practices.

Provide technical guidance and mentorship to junior developers.

Stay updated with industry trends and emerging technologies in data warehousing and analytics.

Client

Provide authoritative expertise and advice to clients and stakeholders.

Continuous interaction with clients and internal stakeholders.

Deliver on service level agreements made with clients and internal and external stakeholders in order to ensure that client expectations are met.

Participate and contribute to a culture which builds rewarding relationships, facilitates feedback and provides exceptional client service.

People

Develop and maintain productive and collaborative working relationships with peers and stakeholders.

Continuously develop own expertise in terms of professional, industry and legislation knowledge.

Contribute to continuous innovation through the development, sharing and implementation of new ideas.

Take ownership for driving career development.

Competencies

Behavioural competencies required:

Examining Information

Generating Ideas

Interpreting Data

Articulating Information

Producing Quality Output

Providing Insights

Team working

Skills required:

Verbal and written communication

Interpersonal skills

Analytical skills

Report writing

Problem solving

Attention to detail

Time Management

Critical Thinking

Knowledge required:

Business acumen

Database development

Software Development Lifecycle

Intermediate SQL

Intermediate Excel

Intermediate Data visualisation

Intermediate Data analysis

Intermediate Data extraction

Data reconciliation techniques

Intermediate PowerBI

Entry level Data Replication experience, e.g. Stelo SQDR, Qlik Replicate, etc.

Intermediate SQL Server 2022

Intermediate SSIS

Intermediate SQL Developer/ Data Warehouse skills with MS T-SQL

Apply Now

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