Data Engineer

Outsidecapital; Johannesburg; On-site; ZAR 600,000 - 900,000; Full time

Job summary

A leading healthcare provider is seeking a Data Engineer in Johannesburg to develop and optimize data warehousing solutions. This role involves working with cloud data platforms, SQL optimization, and automation to enhance decision-making processes. Ideal candidates will have extensive experience in SQL Server and cloud technologies, contributing to impactful business decisions.

Qualifications

• 10 years of experience in SQL Server and Data Warehouse modernization.
• 5 years of experience with Cloud Data Platforms.
• Proven expertise in big data platform migration.

Responsibilities

• Develop and maintain data objects to meet business requirements.
• Design and implement Data Marts for efficient data storage.
• Lead data warehouse modernization efforts.

Skills

SQL

Data Warehousing

Automation

Cloud Data Platforms

Performance Tuning

Data Engineering

Education

Degree or diploma in Computer Science

Tools

SSIS

Power BI

SSRS

GIT

SVN

Azure Data Factory

Job description

Our client is a leading provider in the healthcare industry committed to delivering high-quality healthcare solutions through innovative technology and data-driven insights. With a strong presence in the market, they focus on transforming healthcare by leveraging cutting-edge data engineering methodologies to enhance decision-making and operational efficiency.

We are seeking a highly skilled Data Engineer to join our client's dynamic team. This is a unique opportunity to work on enterprise data solutions that drive impactful business decisions. The ideal candidate will play a key role in the development and optimization of data warehousing solutions, contributing to the modernization and efficiency of data-driven processes. If you are passionate about cloud data platforms, SQL optimization, and automation, this role offers a rewarding environment to apply your expertise.

Key Responsibilities :

1. Develop and maintain data objects to meet business requirements.
2. Design and implement Data Marts for efficient data storage and retrieval.
3. Create and manage SSIS Packages for ETL processes.
4. Develop and optimize SSAS Tabular models to enhance analytical capabilities.
5. Build and manage Azure ADF (Azure Data Factory) assets.
6. Optimize SQL Objects to ensure high performance and scalability.
7. Implement automation for deployment, upgrades, and monitoring using DevOps tools.
8. Lead data warehouse modernization efforts to align with industry best practices.
9. Collaborate with cross-functional teams to ensure smooth data integration and processing.
10. Provide expertise in performance tuning, monitoring tools, and configuration management.

Key Requirements : Must Haves :

1. A degree or diploma in Computer Science, Data Programming, or a related field.
2. 10 years of experience in SQL Server and Data Warehouse modernization.
3. 5 years of experience working with Cloud Data Platforms.
4. Proven expertise in big data platform migration and incorporating latest operational tools.
5. Experience in automation of deployments and DevOps processes.
6. Proficiency in columnar databases and performance tuning (advanced SQL operations).
7. Strong knowledge of server/computer hardware, firewalls, TCP/IP protocols, and load balancers.
8. Hands-on experience with SCM tools like GIT and SVN.
9. Experience with reporting tools such as Power BI and SSRS.
10. Excellent verbal and written communication skills, with the ability to convey technical concepts to non-technical stakeholders.

Key Skills

Apache Hive, S3, Hadoop, Redshift, Spark, AWS, Apache Pig, NoSQL, Big Data, Data Warehouse, Kafka, Scala

Employment Type : Full-Time

Experience : Years

Vacancy : 1

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Data Engineer • Johannesburg, Gauteng, South Africa