Reporting & Analytics Developer / Data Engineer

Reporting & Analytics Developer / Data Engineer

Key Responsibilities

• Analyse business and data requirements and translate them into technical solutions.

• Design, develop, and implement data engineering jobs and reporting solutions to meet analytical requirements.

• Develop and maintain data ingestion, transformation, and processing pipelines.

• Refine data collection and consumption processes by migrating data collection to more efficient channels.

• Integrate multiple datasets to provide seamless and reliable data access.

• Build reports, dashboards, and analytical solutions based on user requirements.

• Develop test plans and test scripts for system testing and support User Acceptance Testing (UAT).

• Work closely with technical and business teams to ensure smooth deployment and adoption of solutions.

• Provide production support and troubleshoot complex application and data issues.

• Ensure smooth operations and adherence to agreed service levels.

• Participate in Agile/Waterfall project delivery and follow established development methodologies.

• Use automation to improve development, testing, build, and deployment efficiency.

• Leverage AI coding and development tools such as GitHub Copilot and Coder AI to support coding, testing, code reviews, refactoring, defect resolution, and documentation.

• Identify opportunities to adopt AI and automation tools to improve development productivity and code quality.

• Promote automation, standardisation, and development best practices.

Required Skills & Experience

Must-Have

• 4+ years of hands-on experience in Big Data Engineering, preferably within a Cloudera Data Platform environment.

• Strong hands-on experience with Cloudera Data Platform.

• Strong SQL, data modelling, and data analysis skills.

• Hands-on experience with Python and PySpark.

• Hands-on experience with Linux and ETL/data integration tools such as Informatica.

• Strong experience with reporting and data visualisation tools, particularly:

  • SAP BusinessObjects (SAP BO)

  • Tableau

• Experience developing and maintaining data engineering jobs and ETL pipelines.

• Good understanding of analytics and data warehouse implementations.

• Experience with Hive and Impala is preferred.

• Strong troubleshooting skills, including the ability to diagnose issues across system resources, data pipelines, and application stack traces.

Good to Have

• Experience with Cloudera AI / Machine Learning.

• Experience with Plotly and data engineering/AI toolsets.

• Experience with Denodo or other data virtualisation technologies.

• Experience with DevOps and deployment processes.

• Strong scripting experience using Python and Shell scripting.

• Experience implementing solutions in high-availability, high-performance, and high-security environments.

• Experience working with hybrid cloud or multi-data-centre environments.

• Previous experience implementing AI and automation solutions.

• Experience with Agile and Waterfall methodologies.