Senior Data Engineer Century City

HR On Site

Milnerton

On-site

ZAR 650,000 - 900,000

Full time

14 days+

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Job summary

HR On Site is seeking an experienced Data Engineer to join a cross-functional agile team. The role focuses on building and maintaining data solutions, ETL processes, and reports while ensuring data availability and integrity.

You will design and deploy data pipelines, optimize data flows, and collaborate with business stakeholders to implement data architecture initiatives in a cloud environment.

Qualifications

  • Bachelor’s degree in data management or related field is required.
  • Minimum 5 years of data engineering experience with visual pipeline designers (SSIS, Talend, Informatica or Azure Data Factory).
  • At least 2 years in a commercial cloud environment like Azure.
  • Strong SQL proficiency and query optimization skills.
  • Experience with multiple DBMS systems (PostgreSQL, MySQL, MSSQL).
  • Hands-on ETL development, data loading from diverse sources, and data governance.
  • Familiarity with source control systems and master data management.
  • Experience with Bash/PowerShell scripting and cloud data technologies.
  • Certifications from Google/Azure/AWS are advantageous.
  • Interest in healthcare IT space is a plus.

Responsibilities

  • Design, develop, schedule, deploy and monitor data pipelines.
  • Optimize, improve, and validate data pipelines.
  • Design and deploy data tables, forms, reports, and queries.
  • Produce ad-hoc queries and develop reports for business needs.
  • Develop security-aware cloud data solutions.
  • Process data into formats like Parquet, JSON, Avro.
  • Apply engines for data processing including Graph, Relational, NoSQL.
  • Create and maintain technical documentation.
  • Contribute to data architecture initiatives and strategies.
  • Engage with business reps on data solution initiatives.

Skills

SQL proficiency
SQL optimization
ETL development
Data governance
Version control
Scripting (Bash/PowerShell)
Data pipelines

Education

Bachelor’s degree in data management

Tools

SSIS
Talend
Informatica
Azure Data Factory
PostgreSQL
MySQL
MSSQL
Azure data technologies

Job description

Role Overview

The role operates within a cross-functional, agile development team working across various technologies. The key responsibilities of this role will focus on creating and maintaining data solutions. This will include development activities such as the implementation of ETL processes, the creation of reports, ensuring high levels of data availability and integrity. We are therefore seeking an energetic and committed individual that is a self-starter and who works well independently as well as within a team context. Your knowledge of, and experience in this area, together with your ability to learn new technologies, will be invaluable and of the utmost importance to help ensure progress and the successful implementation of these solutions.

Duties & Responsibilities
  1. Design, develop, schedule, deploy and monitor data pipelines
  2. Optimize, improve, and validate data pipelines
  3. Design and deploy data table structures, forms, reports, and queries
  4. Produce ad-hoc queries and develop reports to support business needs
  5. Develop security aware cloud data solutions
  6. Process data into various storage formats such as Parquet, JSON, Avro
  7. Apply appropriate engines to data processing such as Graph, Relational, NoSQL
  8. Create and maintain technical documentation
  9. Help inform and drive data architecture initiatives and strategies
  10. Engage with business representatives regarding data solution initiatives
Desired Experience & Qualifications
  1. Bachelor’s degree with a focus on data management (e.g. Information Systems, Statistics, Data Engineering)
  2. A minimum of 5 years' experience working as a data engineer utilizing visual pipeline designers such as SSIS, Talend, Informatica or Azure Data Factory
  3. A minimum of 2 years data engineering in a commercial cloud environment like Azure
  4. Advanced proficiency in the SQL language
  5. SQL Query optimization skills
  6. Experience in at least two DBMS's such as Postgres, MySQL or MSSQL
  7. Experience in loading data from diverse sources
  8. Experience in the development, implementation and monitoring of ETL processes
  9. Experience in database administration, maintenance and optimization
  10. A sound understanding of data management principles including data quality assurance and data governance
  11. Experience in source code and version control systems
  12. Experience in master data management and the implementation and maintenance thereof
  13. Experience in Azure data technologies is very advantageous
  14. Database administration
  15. Bash or PowerShell scripting
  16. Data Engineering certifications from Google, Azure or AWS
  17. Demonstrated interest in the claims and healthcare IT space
Interested?

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