Job category: Hardware Design and Engineering
Location: Centurion
Contract: Permanent
Remuneration: Market Related
EE position: Yes
Introduction
Tracker requires the services of a Lead Data Engineer, a technical leadership role in the effective and high-quality delivery of analysis, design, development, and maintenance of large-scale products and services in the areas of Data Engineering, Data Warehousing, MSSQL, SSAS, SSRS and Reporting, PowerBI and Business Intelligence, ETL, Azure data processing and relevant non-SQL data environments.
KEY DUTIES AND RESPONSIBILITIES:
Leadership - Provide technical leadership in delivery of Data Engineering products and solutions, within team and across teams.
- Provide effective technical management and guidance of staff in Data Engineering teams.
- Continuously align delivery to the Tracker and Data Science team strategy and planning.
- When relevant, provide input into the annual salary review process as and when required.
Delivery of Data Engineering projects - Deliver Data Engineering & related projects on time, in budget, with the desired functionality, at the defined quality level in a sustainable way.
- Assist in definition and design of technical implementation related to area of responsibility, while collaborating with managers, team leads, other technical leads and architects.
Best practice quality and testing - Meet best practice criteria in the evaluation and testing of all data code e.g., SQL, reporting software, data products.
- When relevant, assure that team members adhere to and follow these practices.
System maintenance and support - Complete and ensure team completion of work orders in appropriate timescales.
- Maintain systems, SQL & related code bases and data products without introducing new defects.
- Enhance systems, SQL & related code bases and data products to support and transition to new technologies.
Knowledge transfer - Share knowledge with Data Engineering and other teams.
- Proper documentation of designs, systems architecture, enhancements, etc. to facilitate knowledge sharing.
- Mentor and coach Data Engineering members.
Engineering processes and environment - Ensure that best practice development processes and standards, as adapted to Data Engineering and Data Science are followed.
- Effective use of Data Engineering and related development toolsets.
- Follow department development standards as adapted to Data Science and Data Engineering.
Knowledge and Skill - Keep abreast of industry and technology knowledge, trends and best practices.
Business Acumen - Demonstrate strong customer orientation.
- Demonstrate cross-functional expertise and the ability to thrive in highly complex environments.
Leadership Acumen - Demonstrate strong technical leadership attributes.
QUALIFICATIONS AND TRAINING
- Degree / Diploma/ Equivalent with 4 years of relevant work experience or 6 years of relevant work experience in data engineering; other relevant fields will be considered such as data science, data analytics, machine learning or BI development.
- Training in related areas and skills would be advantageous.
- At least 2 years in lead data engineering role advantageous.
- Certifications in Azure environment would be advantageous.
Working knowledge and understanding of the following:
- Deep understanding of Microsoft SQL Server Technologies (MSSQL, SSRS, SSIS, SSAS).
- Strong hands-on experience with SQL, ETL processes and data warehousing methodologies.
- Experience working with large data warehouses, including building and maintaining tabular/cube models in SSAS.
- Excellent problem-solving skills, with the ability to easily determine best solution on large and different datasets.
- Ability to translate business needs into data-driven SSRS reports, and then to present it with the relevant business acumen to internal and external stakeholders.
- Effective communication and collaboration abilities to work closely with cross-functional teams.
- Detail-oriented mindset with a commitment to delivering high-quality and robust processes.
- Experience in the telematics or automotive industry is a plus.
Technologies - Working experience in a cross-section of the following technologies (recent 4 years) is required:
- Project Participation: Agile frameworks like Scrum or Kanban.
- Programming: Excel, SQL, DAX, Power-M Query, Python (advantageous).
- Geospatial: QGIS is advantageous.
- MS SQL: SQL, SSRS, SSIS and SSAS.
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