Intermediate - Senior Data Engineer (Databricks)

Aica Consultancy; Gauteng; On-site; ZAR 500,000 - 800,000; Full time

Job summary

Aica Consultancy is seeking a certified Data Engineer to join their team. The ideal candidate will be responsible for designing and optimizing scalable data pipelines using Databricks, transforming raw data into analytical datasets, and implementing real-time streaming solutions. This role requires strong proficiency in Python, SQL, and data governance tools. Join us to ensure high-quality data delivery and contribute to vital data-driven decision-making processes.

Qualifications

• Proficiency in Databricks, Spark, and Delta Lake.
• Strong experience with Python, SQL, and ETL/ELT.
• Familiarity with real-time data processing.

Responsibilities

• Design and optimize data pipelines and workflows on Databricks.
• Implement real-time data streaming solutions.
• Collaborate with stakeholders and document technical solutions.

Skills

Databricks

Spark

Python

SQL

ETL/ELT development

Real-time data processing

Data Governance

Unity CatLog

Education

Databricks certification

Tools

AWS

Azure

GCP

Job description

We are looking for a Data Engineer who is certified in Databricks (required) to join our team.

In this role you will be designing, developing, and optimizing scalable data pipelines and workflows on Databricks.

The engineer will work closely with stakeholders to make certain data reliability, performance, and alignment with business requirements.Scope of WorkBuilding efficient ETL / ELT pipelines using Databricks and Delta Lake for structured, semi-structured, and unstructured data.Transforming raw data into consumable datasets for analytics and machine learning.Data Optimization : Improving performance by implementing best practices like partitioning, caching, and Delta Lake optimizations.Resolving bottlenecks and ensuring scalability.Data Integration : Integrating data from various sources such as APIs, databases, and cloud storage systems (e.g., AWS S3, Azure Data Lake).Real-Time Streaming : Designing and deploying real-time data streaming solutions using Databricks Structured Streaming.Data Quality and Governance : Implementing data validation, schema enforcement, and monitoring to ensure high-quality data delivery.Using Unity CatLog to manage metadata, access permissions, and data lineage.Collaboration and Documentation : Collaborating with data analysts, data scientists, and other stakeholders to meet business needs.Documenting pipelines, workflows, and technical solutions.ResponsibilitiesFully functional and documented data pipelines.Optimized and scalable data workflows on Databricks.Real-time streaming solutions integrated with downstream systems.Detailed documentation for implemented solutions and best practices.Skills and QualificationsProficiency in Databricks(certified), Spark, and Delta Lake.Strong experience with Python, SQL, and ETL / ELT development.Familiarity with real-time data processing and streaming.Knowledge of cloud platforms (e.g., AWS, Azure, GCP).Experience with data governance and tools like Unity CatLog.AssumptionsAccess to necessary datasets and cloud infrastructure will be provided.Timely input and feedback from stakeholders.Success MetricsData pipelines deliver accurate and consistent data.Workflows meet performance benchmarks.Real-time streaming solutions operate with minimal latency.Stakeholders are satisfied with the quality and usability of the solutions.Create a job alert for this searchSenior Data Engineer