Senior Cloud Data Engineer – Remote Full Time

Requirements: 

Data Engineering & Cloud Solutions
• Architect, build, and optimize scalable and cloud-agnostic data solutions
using Azure, Databricks, Spark, Lakehouse, and Delta Lake tables.
• Develop, implement, and maintain big data pipelines for ingesting, processing, and
storing large volumes of structured and unstructured data.
• Manage and optimize data lake and data warehouse architectures for performance,
cost, and scalability

Cloud & DevOps
• Work within Azure environments (Azure Synapse, Data Factory, ADLS, etc.) to
develop and maintain cloud-based data solutions.
• Implement best DevOps practices for CI/CD pipelines, infrastructure-as-code, and
automation.
• Utilize Azure DevOps and Git for managing code repositories, version control, and
continuous integration/deployment.
Ensure high levels of security, compliance, and data governance across data
engineering processes.

Big Data Processing & Development
• Utilize Spark, Databricks, and distributed computing to process and analyse large
datasets efficiently.
• Write advanced Python and T-SQL scripts for data transformations, ETL/ELT
processes, and real-time data processing.
• Optimize performance for data pipelines and SQL queries for efficiency and costeffectiveness.
• Experience with Graph databases is a big advantage

Collaboration & Leadership
• Work closely with data scientists, analysts, and business stakeholders to understand
data requirements and develop solutions that meet business objectives.
• Lead initiatives to enhance data engineering capabilities, introduce new
technologies, and drive best practices.
• Mentor junior engineers, conduct code reviews, and contribute to building a culture
of technical excellence.
• Communicate effectively with technical and non-technical stakeholders, translating
complex data concepts into actionable insights.

Requirements: 

• 6+ years of extensive experience.
• Education / Degrees: Computer science degree or comparable data engineering certification
in one of the cloud platforms.

Minimum required skills and experience:
• Extensive experience in cloud-based data engineering, with expertise in Azure (Azure
Synapse, Azure Data Factory, ADLS, etc.).
• Strong expertise in cloud-agnostic data tools such as Databricks, Spark, Delta Lake, and
Lakehouse architectures.
• Advanced proficiency in T-SQL and Python for developing complex data pipelines,
transformations, and optimizations.
• Hands-on experience in big data processing, ETL/ELT, and data pipeline orchestration.
• Solid understanding of data modelling, warehouse design, and data lakehouse architecture.
• Experience in setting up, managing, and processing with Azure DevOps (or similar DevOps
tools).
Strong knowledge of DevOps, CI/CD, Git, and infrastructure-as-code for automated
deployments.
• Excellent verbal and written communication skills, with the ability to collaborate across
teams and explain complex data concepts clearly.
• Ability to work independently on high-impact projects while maintaining a team-oriented
approach.

Interested applicants should submit their CV to Gaby Turner at gaby.turner@hireresolve.us or you may forward your CV directly to the IT Department at itcareers@hireresolve.za.com