Data Warehouse Engineer

Parvana; Johannesburg; Hybrid; ZAR 900,000 - 1,300,000; Full time

Job summary

Parvana, a data and analytics specialist, is hiring a Data Warehouse Engineer in Johannesburg. You will design, implement, and maintain scalable data warehouse architectures (Star/Snowflake), optimize ETL/ELT pipelines, and lead SDLC activities within an Agile/Scrum environment.

The role requires strong SQL (SQL Server, PostgreSQL), Python, and BI tooling (Power BI, Yellowfin). You will collaborate with stakeholders, develop dashboards, document data flows, and contribute to performance tuning

Qualifications

• A relevant tertiary qualification is beneficial.
• Strong knowledge of analytical and dimensional data warehouse modelling, design, and data structures.
• Experience in developing ETL/ELT processes and performance tuning.

Responsibilities

• Design, implement, and maintain scalable data warehouse architectures (Star/Snowflake).
• Write and tune complex SQL and use Python for data manipulation and analytics.
• Own the full SDLC: requirements, design, testing, deployment, and estimation.
• Collaborate with stakeholders to translate business data needs into technical structures.
• Identify and resolve performance bottlenecks through normalisation, indexing, and query optimisation.
• Develop and maintain dashboards/reports using Power BI or Yellowfin.

Skills

SQL

Python

ETL/ELT

Data warehouse modelling

SDLC

Agile

Power BI

Yellowfin

Data visualization

Communication

Education

Bachelor's degree in Computer Science/IT/Data Science

Tools

SQL Server

PostgreSQL

Power BI

Yellowfin

Job description

Location: Johannesburg | Work Type: Hybrid / Remote | Job ID: J107172

About our client:

Our client offers financial service solutions helping their clients achieve their dreams. With an emphasis on culture fit, they boast a dedicated team of over 600 employees, many with over a decade of tenure. They have built their culture on a feeling of togetherness, trust and respect and are always looking to support employees' continuous learning. Using Agile, they provide diverse services with a focus on research, innovation and improvement.

What you will be doing:

• Design, implement, and maintain scalable data warehouse architectures (Star/Snowflake) and optimize ETL/ELT pipelines for data quality.
• Write and tune complex SQL (T-SQL/ANSI) and use Python for data manipulation and advanced analytics.
• Own the full SDLC: requirements, design, testing, deployment, and solution estimation.
• Collaborate with stakeholders to translate business data needs into technical structures.
• Identify and resolve performance bottlenecks through normalisation, indexing, and query optimisation.
• Develop and maintain dashboards/reports using tools like Power BI or Yellowfin for data-led decision-making.
• Create and maintain high-quality technical documentation (data flow diagrams, specifications, metadata).
• Actively participate in the Agile/Scrum framework and sprint ceremonies.
• Research and evaluate emerging data technologies to continuously improve the data warehouse.

What our client is looking for:

• A relevant tertiary qualification would be beneficial (Computer Science, IT, Data Science, etc.)
• Strong knowledge of analytical & dimensional data warehouse modelling, design, architecture, data structures, and fundamental design principles.
• Experience in developing and modifying ETL processes (Extract, Transform, Load) using various data sources, and understanding concepts like data normalisation and performance tuning.
• Proficiency in relational databases (SQL Server, PostgreSQL), SQL (TSQL/ANSI), and programming languages like Python.
• Capability in the full Software Development Life Cycle, including solution estimation, requirements gathering, analysis (modifying data structures to meet client needs), technical design, unit testing, debugging, and documentation.
• Ability to consult with clients to gather requirements, analyse business needs, propose technical alternatives, and provide necessary documentation (e.g., technical specifications, data flow diagrams).
• Understanding of Big Data Visualization Tools and specific industry BI Visualisation tools (e.g., Yellowfin or Power BI).
• Essential skills include communication (verbal & written, internal & external), problem-solving, and being a team player.

For a more comprehensive list of opportunities that we have on offer, do visit our website - https://www.parvana.co.uk/careers

Requirements

Data Warehouse, ETL, ELT, SQL, Python, Dimensional Modeling, Star Schema, Snowflake Schema, SDLC, Agile, Power BI, Yellowfin, Performance Tuning