We are looking for a highly skilled
Data Engineering Lead to spearhead the development and optimization of advanced data solutions. This role requires an individual with expertise in
Informatica,
SQL, and database technologies, who can lead a dynamic team to support business intelligence and analytics initiatives. The successful candidate will be responsible for the end-to-end design, implementation, and maintenance of scalable data systems that align with business needs.
Key Responsibilities:- Design and Implementation: Lead the creation and optimization of data solutions that support business analytics, including ETL workflows, database management, and data integration using Informatica and PL/SQL.
- Team Leadership: Guide and mentor a team of engineers and developers, offering technical direction, support, and code reviews to ensure the high quality and efficiency of data systems.
- Cross-functional Collaboration: Work closely with business analysts, stakeholders, and product teams to translate business objectives into scalable and efficient data solutions.
- Hands-on Development: Play an active role in hands-on coding, debugging, and troubleshooting of data pipelines and workflows to ensure optimal system performance.
- Documentation & Reporting: Maintain clear and detailed documentation for all data solutions, including data architecture, ETL processes, and performance metrics. Ensure that technical specifications are well-defined and executed.
- Data Governance: Oversee the implementation of data quality standards and governance practices to ensure the integrity and reliability of data across pipelines.
- Incident Resolution: Proactively identify potential issues and lead troubleshooting efforts to resolve incidents related to data systems, collaborating with cross-functional teams to ensure prompt resolution.
- Continuous Improvement: Recommend and implement improvements to existing systems, applying modern tools and technologies to enhance performance, scalability, and security.
- Innovation: Explore and introduce new methodologies and technologies to continuously enhance data management processes and provide innovative solutions to business challenges.