Job Purpose
We are looking for The ideal candidate will have extensive experience in building data warehouses, working with ETL tools, and leveraging cloud technologies. This role requires a deep understanding of business processes and the ability to model data schemas that meet business needs. As a Data Team Leader, driving the design and implementation of our data strategy.
Key Responsibilities:
- Data Warehousing: Design, implement, and maintain robust data warehouse solutions to support business intelligence and analytics requirements.
- ETL Processes: Develop, optimize, and manage ETL processes to ensure accurate and timely data integration from various sources.
- Cloud Technologies: Utilize cloud-based tools and platforms (e.g., AWS Redshift, Google Big Query, Azure Synapse) to build scalable and efficient data solutions.
- Data Modeling: Work closely with business stakeholders to understand requirements and model data schemas that accurately represent business processes and support analytical needs.
- Data Governance: Implement and enforce data governance policies to ensure data quality, consistency, and security.
- Collaboration: Collaborate with cross-functional teams, including product management, software development, and business operations, to deliver data-driven insights and solutions.
- Best Practices: Promote and implement best practices in data engineering, analytics, and cloud computing.
Experience: Minimum of 6 years of experience in data engineering or a related field, with at least 2 years in a leadership or managerial role.
- Technical Skills: Proficiency in data warehousing technologies, ETL tools (e.g., Informatics, Talend, Apache NiFi), and cloud platforms(AWS, Azure, Google Cloud).
-Data Modeling: Strong experience in data modeling, schema design,and database management.
- Programming Skills: Proficiency inSQLand at least one programming language (e.g., Python, Java, Scala).
- Data Visualization:Proficiency in data visualization tools (e.g., Tableau, Power BI, Looker) to create insightful dashboards and reports.
- Analytical Skills: Excellent analytical and problem-solving skills with a deep understanding of data analytics and business intelligence.
- Communication: Strong verbal and written communication skills, with the ability to effectively communicate complex technical concepts to non-technical stakeholders.
- Project Management: Experience in project management, including planning, execution, and delivery of data projects.