Job Overview :
We are seeking a highly skilled Data Platform Engineer to join our organization. The ideal candidate will be responsible for building additional platform capabilities, optimizing, and maintaining robust data pipelines and platforms that empower data-driven decision-making across the organization.
Key Responsibilities :
- Collaborate with stakeholders during requirements clarification and sprint planning sessions to ensure alignment with business objectives.
- Design and implement technical solutions, including ETL pipelines, leveraging PySpark to extract, transform, and load data efficiently.
- Build solutions to integrate the two main data platforms.
- Integrate the data platforms with other platforms, incident & monitoring tools, identity management, data observability.
- Optimize existing ETL processes for improved performance, scalability, and reliability.
- Develop and maintain unit and integration tests to ensure quality and resilience.
- Provide support to QA teammates during the acceptance process.
- Resolve production incidents as a third-line engineer, ensuring system stability and uptime.
Required Skills and Qualifications :
Education : Bachelor's degree in IT or a related field.Experience : Minimum 8 years in IT / Data-related roles.Technical Expertise :
Proficient in PySpark for distributed computing and Python for ETL development.Advanced SQL skills for writing and optimizing complex queries.Familiarity with ETL tools, processes, and data warehousing platforms.Solid understanding of data modelling, including dimensional modelling, normalization, and schema design.Experienced with version control tools such as Git.Knowledge of monitoring tools to track and optimize pipeline performance.Knowledge of scheduling tools.Proficiency in data freshness & quality frameworks.Agile Methodologies : Comfortable with Agile practices.Collaboration Tools : Skilled in using Azure DevOps for team collaboration and project management.Problem-Solving : Strong debugging and troubleshooting abilities for complex data engineering issues.Communication : Exceptional written and verbal communication skills.