Major Responsibilities

Delivery Management & Prioritization

- Design, build, and maintain scalable ETL/ELT pipelines using Azure Data Factory, Databricks, Delta Lake, and related Azure services.

- Architect data models and storage patterns optimized for analytics, reporting, and machine learning workloads.

- Establish and enforce engineering standards for code quality, version control, CI/CD, testing, and documentation.

- Optimize data pipelines for performance, reliability, and cost efficiency across cloud environments.

Platform Partnership & Operational Excellence

- Collaborate with cloud platform, security, and infrastructure teams to ensure data solutions meet enterprise standards for security, compliance, and reliability.

- Implement monitoring, alerting, and automated recovery processes for critical data pipelines and datasets

- Partner with analytics and business teams to understand requirements and translate them into scalable technical solutions.

- Provide technical leadership, code reviews, and mentorship to data engineers and contractors.

Minimum Job Requirements

Education

- Bachelor’s degree in Computer Science, Information Systems, Engineering, Data Science, or related field (or equivalent practical experience).

Certification / License

- Azure Data Engineer or equivalent cloud certification preferred.

Work Experience

- 7 years of experience in data engineering, cloud data platforms, or large‑scale data architecture.

- Hands‑on experience designing and delivering data pipelines using Azure and Databricks.





- Robust experience with SQL, Python, Spark, Delta Lake, and distributed data processing.

- Experience supporting production data systems, including monitoring, troubleshooting, and performance tuning.

Knowledge / Skills / Abilities

- Deep understanding of data modeling, ETL/ELT patterns, orchestration, and data quality frameworks.

- Strong knowledge of Azure services (ADF, ADLS, Databricks, Azure SQL, Synapse, Key Vault, DevOps).

- Ability to translate business requirements into scalable technical designs

- Excellent written and verbal communication skills, including the ability to communicate complex topics to non-technical audiences.

Preferred Job Requirements

Education

- Master’s degree in Data Engineering, Computer Science, Analytics, or a related field.

Certification / License

- Preferred certifications: Microsoft Certified Azure Data Engineer, Databricks Data Engineer Professional, Agile project management.

Work Experience

- Experience leading technical design for large‑scale data engineering initiatives.

- Experience implementing Lakehouse architectures and supporting advanced analytics or ML workloads.

- Experience with CI/CD pipelines, infrastructure‑as‑code, and DevOps practices.

- Vendor and contractor oversight experience.

Knowledge / Skills / Abilities

- Strong understanding of data governance, metadata management, and enterprise data cataloging.

- Ability to drive adoption of engineering best practices and standardized ways of working across teams.

📌 Senior Data Engineer (Ramban)
🏢 Generac
📍 Ramban