Data Engineer

Durban, KwaZulu-Natal
Permanent
Full-time

11 days ago

How you'll roleAs the Data Architect, you'll collaborate closely with engineering, analytics, governance, and business teams to drive best practices across both on-premise and cloud environments (AWS, Azure). The ideal candidate will align data architecture strategies with business objectives, enabling advanced analytics, AI/ML initiatives, and seamless operational data use.What you'll do

Design and implement scalable, secure, and efficient enterprise data architecture aligned with business goals

Develop and maintain comprehensive data models (conceptual, logical, physical) that support business and analytical needs

Define and enforce data governance policies, standards, lineage, and metadata management practices

Drive integration across systems via ETL/ELT pipelines, APIs, and real-time streaming solutions

Optimize data storage and retrieval for structured andunstructured data across hybrid infrastructures

Collaborate with technical and business teams to enable data-driven decisionmaking

Ensure compliance with data privacy and protection regulations (e.g., GDPR, POPIA)

Evaluate emerging technologies to enhance scalability maintainability, and performance

Monitor and improve data quality, consistency, and system performance

Oversee and guide project lifecycles from inception to completion

Collaborate with cross-functional teams to ensure seamless project execution

Align project activities with business goals and objectives

Develop and maintain project schedules and budgets

Identify potential risks and develop mitigation strategies

What you'll need

Bachelors or Masters degree in Computer Science, Data Engineering, Information Systems, or a related discipline

Minimum 5 years of experience in data architecture, data modeling, or data engineering

Proven experience with both on-premise data platforms (e.g., Oracle DWH, OLAP) and cloud platforms (AWS, Azure, GCP)

Strong understanding of ETL/ELT processes, data integration, and real-time data streaming

Familiarity with data governance frameworks (e.g.,DAMA-DMBOK)

Expertise in RDBMS (Oracle, SQL Server, PostgreSQL) and modern cloud-native solutions (e.g., Redshift, Snowflake, BigQuery, DynamoDB)

Proficient in AWS services such as S3, Glue, Redshift, and Athena

Experience with API-based integration and event-driven architectures (Kafka, Kinesis, Pub/Sub)

Hands-on experience in data cataloguing, lineage, and metadata management

Knowledge of data security best practices including encryption, IAM, and compliance frameworks

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