Senior Data Engineer

• Design, build, and maintain data infrastructure to enable efficient data access and analysis.
• Develop and customize applications using low-code platforms to support business needs.
• Design and manage data models, including schema design, security, and integrations.
• Implement backend data integration solutions to ensure seamless data flow across systems.
• Collaborate with stakeholders to gather requirements and translate them into technical solutions.
• Deploy machine learning algorithms into production environments.
• Analyze and resolve complex data and application issues.
• Work on data-centric problems requiring in-depth analysis and innovative solutions.
• Plan and execute tasks to meet project objectives and timelines.
• Communicate technical recommendations clearly to stakeholders.
• Mentor and guide junior team members.

Experience:

• Minimum of 5 years of experience in data engineering and ETL ecosystems.
• Experience working with data integration and analytics tools.
• Experience deploying machine learning models in production environments.

Responsibilities:

• Develop and maintain data pipelines and infrastructure.
• Ensure secure and efficient data integration across platforms.
• Support analytics and business intelligence initiatives.
• Troubleshoot and resolve data-related issues.
• Collaborate with cross-functional teams.

Should Have:

• Strong problem-solving and analytical skills.
• Ability to work on complex data challenges.
• Strong communication and stakeholder management skills.
• Experience mentoring team members.

Skills:

• Expertise in data engineering tools and ETL processes.
• Knowledge of data modeling, integration, and analytics platforms.
• Understanding of software engineering practices such as CI/CD and version control.
• Familiarity with machine learning deployment.

Qualification And Education:

• Bachelor s degree in Computer Science, Information Systems, or a related field, or equivalent experience.