About the Role: Join LTM as a Senior Specialist - Data Engineering to architect robust data ecosystems. You will drive enterprise-level data transformation initiatives, enabling intelligent systems and empowering global organizations to outcreate through advanced data strategies.
Role and Responsibilities (What You'll Do):
- Architect, design, and implement scalable data pipelines to process high-volume datasets efficiently across distributed environments.
- Direct cross-functional data initiatives by collaborating closely with software architects, data scientists, and business stakeholders to align data infrastructure with organizational objectives.
- Optimize data retrieval performance and storage efficiency by conducting comprehensive performance tuning and system audits.
- Establish rigorous data governance frameworks, data quality standards, and security protocols to ensure compliance and integrity across all enterprise platforms.
- Mentor junior and mid-level engineering personnel,
fostering technical excellence and adherence to industry best practices in data engineering.
- Evaluate emerging data technologies and integration frameworks to continuously enhance our enterprise data architecture capabilities.
Qualifications (What You'll Bring):
Must-Have:
- Demonstrated expertise in architecting and managing cloud storage repositories utilizing Azure BLOB for large-scale enterprise applications.
- Advanced proficiency in designing, scheduling, and monitoring complex data orchestration workflows using Azure Data Factory.
- Proven experience in developing, optimizing, and deploying large-scale data processing pipelines and analytics workloads using Databricks.
Preferred:
- Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related quantitative discipline.
- Deep domain expertise in enterprise technology services with a solid aptitude for cross-functional leadership, stakeholder management, and strategic problem-solving.
Mandatory Skills : Azure BLOB, Azure Data Factory, Databricks