Big Data Support Engineer at Absa Group Ltd

Company: Absa Group Ltd
Location: Mombasa, Kenya
Job Type: Full-Time
Industry: Banking / IT / Software Development / Data Engineering
Department: Big Data & Analytics
Experience Required: 2+ Years
Education Required: Bachelor’s Degree
Salary: Confidential

Job Overview

Absa Group Ltd is hiring a skilled and analytical Big Data Support Engineer to join its growing technology and data engineering team in Mombasa, Kenya. This role is ideal for professionals passionate about big data engineering, Hadoop ecosystem management, data pipeline optimization, backend development, Apache Spark, Kafka streaming, SQL databases, Python programming, and enterprise analytics solutions.

The successful candidate will support the development, enhancement, and optimization of large-scale data pipelines, big data architectures, high-speed querying systems, and cloud-ready analytics platforms. This opportunity is perfect for candidates seeking growth in software engineering, data science support, Hadoop development, data modelling, ETL processes, Linux systems, and banking technology environments.

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Key Responsibilities

Big Data Pipeline Management

• Support big data pipelines end-to-end to ensure smooth system performance and data availability.
• Build, deploy, and maintain new data pipelines and processing frameworks for enterprise-scale systems.
• Monitor and optimize big data infrastructure performance for improved reliability and scalability.
• Identify performance bottlenecks and implement data optimization solutions.

Hadoop & Data Engineering Development

• Develop and maintain Hadoop-based applications and distributed computing systems.
• Work extensively with Hadoop ecosystem tools including HDFS, MapReduce, Apache Spark, Kafka, and distributed data environments.
• Perform high-speed querying and data processing for analytics and reporting purposes.
• Write clean, efficient, and maintainable code using Java, Scala, Python, and SQL.

Testing & System Enhancement

• Test prototypes, troubleshoot issues, and oversee successful handovers to the Data Operations team.
• Improve system recovery times during production failures and ensure operational continuity.
• Build enhancements and support new feature development for big data platforms.
• Participate in code reviews, debugging, testing, and software quality assurance activities.

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Collaboration & Stakeholder Engagement

• Attend team meetings and collaborate with developers, business users, data engineers, and operations teams.
• Support cross-functional teams with technical troubleshooting and analytics system improvements.
• Document workflows, technical requirements, and system updates for improved knowledge sharing.

Education & Qualification Requirements

To qualify for this position, applicants should have:

• Bachelor’s degree in Computer Science, Information Systems, Data Science, Software Engineering, or related field.
• Professional certifications in Big Data, Hadoop, Spark, Cloud Computing, or Database Technologies are an added advantage.

Experience Requirements

Applicants should possess:

• Minimum 2+ years of experience working in a Big Data environment.
• Proven experience building and optimizing big data pipelines, architectures, and large datasets.
• Hands-on experience with:
  • Apache Hadoop
  • Apache Spark
  • Kafka
  • SQL
  • Python
  • Java or Scala
  • HDFS and MapReduce
• Experience in database design, development, data modelling, and ETL processes.

Required Technical Skills

The ideal candidate should demonstrate strong expertise in:

• Big Data Engineering & Data Architecture
• Hadoop Ecosystem and Distributed Systems
• Apache Spark & Kafka Development
• SQL Queries and Database Structures
• Python and Java Backend Programming
• Linux Environment & Command Line Operations
• Workflow Automation & Scheduling Tools
• Performance Optimization & Production Support

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Soft Skills & Competencies

The successful candidate should possess:

• Strong analytical and problem-solving skills
• Excellent communication and teamwork abilities
• Ability to write high-performance, scalable, and manageable code
• Strong attention to detail and troubleshooting expertise
• Ability to work in fast-paced enterprise environments

Salary & Benefits

Salary: Confidential and competitive based on experience and qualifications.

Additional benefits may include:

• Career development within a leading banking institution
• Professional training in Big Data technologies and analytics platforms
• Exposure to enterprise-scale data engineering projects
• Collaborative and innovation-driven work environment

Training & Career Growth

Absa Group Ltd supports employee development through:

• Advanced technical training in Hadoop, Spark, Kafka, and cloud technologies
• Exposure to enterprise data engineering and banking analytics systems
• Continuous learning in software development, backend engineering, and big data architecture
• Mentorship and professional certification opportunities

Why Join Absa Group Ltd?

Joining Absa means becoming part of a dynamic organization focused on digital transformation, big data innovation, banking technology, enterprise analytics, and software engineering excellence. This role offers strong growth opportunities for professionals passionate about data engineering, distributed systems, backend programming, and analytics solutions.

Application Process

Interested candidates should submit their applications through the official company recruitment process before the stated deadline.

Location: Mombasa, Kenya
Company: Absa Group Ltd