Lead System Engineer - (ETL + Azure Databricks)

Job description

**Role & responsibilities** - Prepare Weekly Status Reports (WSRs) by tracking SLAs, KPIs, and service delivery metrics. - Participate in due diligence and prepare questionnaires to capture volumetrics and scope of client support requirements. - Analyze support requirements, prepare effort estimations, and review with SDMs & leadership. - We are looking for a Lead System Engineer with + years of IT experience, strong ITIL-based service delivery expertise, and proven ability in production support and cloud data platforms. The role involves managing shifts, incidents, and changes while leading teams, driving client engagement, and leveraging Databricks, ADF, and Data Engineering practices. - Act as a mentor, offering coaching, training, and oversight to support engineers. - Lead **incident management** processes, ensuring timely resolution and root cause analysis. - Drive **change management** activities, coordinating with stakeholders to minimize risk and downtime. - Handle **team management** responsibilities, including mentoring and coaching. - Ensure ITIL-based service delivery processes are followed and continuously improved. **Preferred candidate profile** - Strong communication and stakeholder management skills. - Hands-on experience with **DevOps tools, monitoring tools, and automation suites**. - Solid knowledge of **ETL/Data Engineering batch ecosystems** and cloud platforms (**AWS, Azure, GCP**). - Proficiency in scripting languages (**Shell, Python, PySpark**). - Familiarity with **Agile methodologies** and collaborative practices. - Expertise in **Databricks, Azure Data Factory (ADF), Apache Spark, Delta Lake**. - Strong understanding of **cloud data systems/platforms** and modern data architectures.