Senior Data Engineer

at  XTEL

We are seeking a highly skilled Senior Data Engineer to join our Forward Engineering team to enable delivery of advanced data and AI solutions. The ideal candidate will have strong programming skills in Python with expertise in Azure cloud services, Databricks, and Snowflake, AWS or GCP.
This role is pivotal in contributing to our research and development of new tools and technologies to enable our implementation teams to deliver value to our customers.

Key Responsibilities:

• Data Architecture Design: Develop, maintain, and optimize scalable and robust data architectures leveraging Azure, Databricks, and Snowflake technologies.
• Productivity: Design and streamline the function of our project delivery team through the research and development of internal tools.
• Solution Implementation: Lead the design, implementation, and integration of data pipelines, ETL processes, and data storage systems to meet business requirements.
• Programming: Build and maintain custom solutions in Python; optional experience in C# for specific integrations and workflows is a plus.
• Collaboration: Work closely with stakeholders across business units to understand data needs and provide innovative solutions.
• Performance Tuning: Optimize performance of data systems, queries, and processes to ensure efficiency.

Required Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field.
• Expertise in Azure, Databricks, Snowflake or AWS.
• Proficiency in Python and Pandas for data processing and scripting.

• Strong understanding of data modeling, data warehousing, and ETL/ELT processes. • Experience with SQL and relational databases.

• Strong analytical, problem-solving, and communication skills. Preferred Qualifications:
• Knowledge of CI/CD practices and tools (e.g., Azure DevOps, Jenkins).
• Experience with big data technologies and distributed systems.
• Certifications in Azure or relevant data technologies.

What We Offer:

• Competitive salary and benefits package.
• Opportunities for professional growth and skill development.
• Collaborative and inclusive work environment.
• Exposure to cutting-edge technologies and challenging projects. If you are passionate about designing innovative data architectures and leading teams to success, we encourage you to apply and join our forward-thinking organization!

• Data Architecture Design: Develop, maintain, and optimize scalable and robust data architectures leveraging Azure, Databricks, and Snowflake technologies.
• Productivity: Design and streamline the function of our project delivery team through the research and development of internal tools.
• Solution Implementation: Lead the design, implementation, and integration of data pipelines, ETL processes, and data storage systems to meet business requirements.
• Programming: Build and maintain custom solutions in Python; optional experience in C# for specific integrations and workflows is a plus.
• Collaboration: Work closely with stakeholders across business units to understand data needs and provide innovative solutions.
• Performance Tuning: Optimize performance of data systems, queries, and processes to ensure efficiency