Senior Data Engineer (Databricks)

REQUIRED SKILLS & EXPERIENCE

• Minimum of 5 years of experience as a Data Engineer or in a similar role.
• Strong hands-on experience with Databricks and Apache Spark.
• Advanced SQL and Python skills.
• Experience working in cloud environments (Azure preferred).
• Solid understanding of data modeling, ETL/ELT processes, and data architecture concepts.
• Ability to work independently while collaborating with distributed teams.

KEY RESPONSIBILITIES

• Design, develop, and maintain scalable data pipelines using Databricks and Apache Spark.
• Define data architectures that support batch and streaming processing.
• Integrate data from multiple sources, including databases, APIs, and cloud storage.
• Optimize data solutions for performance, reliability, and cost efficiency.
• Collaborate closely with data science, analytics, and business teams.
• Provide technical leadership and guidance on data engineering best practices.
• Translate complex Databricks architectures and data solutions into clear, business-friendly explanations for technical and non-technical audiences.
• Document data architectures, pipelines, and technical decisions.
• Support production systems and troubleshoot data-related issues as needed.

DESIRABLE SKILLS

• Experience designing enterprise-scale data platforms.
• Experience building, supporting, and scaling production-grade data pipelines in enterprise environments.
• Exposure to analytics, BI, or data science workloads.
• Familiarity with CI/CD practices for data engineering.
• Strong communication skills with both technical and non-technical stakeholders. Any certifications for Databricks or Apache are a plus.

BENEFITS

• Competitive salary
• Flexible work environment
• Opportunities for growth and certifications
• Inclusive and collaborative team culture
• Access to cutting-edge tools and technologies