Deputy Manager Data Engineer

Relevant Expereince:

• 1-3 years of experience in data extraction, transformation, and loading (ETL) processes using SQL and Python, with exposure to cloud platforms and data warehousing concepts.
• Basic Project Management experience, PMP or other advanced certification preferred.
• Familiarity with project management tools (e.g. JIRA, Timesheet Systems) and office tools (e.g. Word, Excel, and PowerPoint).
• Experience in working with stakeholders in global geographies
• Basic understanding of visualization tools like Power BI or Qlik
• Understanding of data warehousing concepts and tools for structured storage and analytics
• Understanding of data warehousing concepts and tools for structured storage and analytics
• Strong command over SQL for querying and Python for scripting and automation
• Exposure to cloud services like Google Cloud Platform (GCP), AWS, or Azure.
• Experience in building and maintaining ETL pipelines to extract, transform, and load data from various sources

Key Responsibilities:

• Design, develop and deploy software solutions using different tools, design principles and conventions.
• Understand existing processes and facilitate change requirements as part of a structured change control process.
• Solve day to day issues arising and provide timely resolutions
• Unit testing & debugging of production software
• Play an active role in product deployment & roll-outs
• Synergize and leverage external business partnership for technology
• Create synergies for technology within all the businesses of the group.
• Autonomous in development, design and resolving the critical software issues.
• Working with the business teams to effectively understand and implement the solutions independently.
• Develop a new software product from the ground up, staying true to our company's core values and needs while lending your own creativity to the mix.
• Focus on creating fault-tolerant programming.
• Create scaleable, automated solutions for our customer base.
• Establish multi-platform versions of the software package.
• Write tests for existing and created code to ensure compatibility and stability.
• Design build, and maintain efficient, reusable, and reliable codes.
• Design and implement software platform with Microservices Architecture, based on Docker's Ecosystem.
• Ecosystem Identify bottlenecks and bugs, and devise solutions to these problems.
• Help maintain code quality, organization and automatization.