Data Warehouse Engineer

Parvana; Johannesburg; Hybrid; ZAR 420,000 - 740,000; Full time

Job summary

Parvana is seeking a Data Warehouse Engineer in Johannesburg to design, implement, and optimize scalable data warehouse architectures (Star/Snowflake) and ETL/ELT pipelines. You will write SQL, use Python for data manipulation, and own the full SDLC from requirements through deployment.

You'll collaborate with stakeholders, tune performance, and develop dashboards with Power BI or Yellowfin while documenting data flows and metadata; participate in Agile/Scrum ceremonies and stay ahead with new

Qualifications

• Experience in designing data warehouses (Star/Snowflake) and ETL/ELT pipelines.
• Strong SQL (T-SQL/ANSI) and Python skills.
• Experience with Power BI or Yellowfin for dashboards.
• Familiarity with SDLC and Agile/Scrum.
• Ability to translate business needs into technical specifications.

Responsibilities

• Design, implement, and maintain scalable data warehouse architectures.
• Write and tune complex SQL and use Python for data manipulation.
• Own the full SDLC from requirements to deployment.
• Collaborate with stakeholders to translate data needs into structures.
• Identify performance bottlenecks and optimize queries.
• Develop dashboards/reports using Power BI or Yellowfin.
• Create technical documentation of data flows and metadata.
• Participate in Agile/Scrum sprint ceremonies.
• Research emerging data technologies to improve warehouse.

Skills

SQL

Python

ETL/ELT

Data warehousing

Dimensional modeling

SDLC

Agile

Power BI

Yellowfin

Performance tuning

Star/Snowflake schemas

SQL Server

PostgreSQL

Education

Bachelor's degree in Computer Science or related field

Tools

SQL Server

PostgreSQL

Power BI

Yellowfin

Job description

Johannesburg, South Africa

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 optimization.
• 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.

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