We are seeking a Senior Data Engineer with a passion for leveraging cutting-edge technologies to design, implement, and maintain robust data pipelines and platforms. In this role, you will collaborate with cross-functional teams to deliver analytics solutions and empower the organization with meaningful insights.
Key Responsibilities
Design, develop, and optimize scalable data pipelines to support business intelligence and analytics initiatives.
Build and maintain robust ETL processes, integrating data from diverse sources into our data warehouse.
Collaborate with data scientists and analysts to develop advanced models and visualizations.
Implement best practices for data governance, security, and quality assurance.
Develop and enhance dashboards using Tableau, delivering actionable insights to stakeholders.
Utilize Python and R programming to perform data wrangling, statistical analysis, and machine learning.
Work with Alteryx to streamline workflows and automate complex processes.
Optimize and manage SQL-based databases to ensure high performance and reliability.
Stay ahead of emerging data engineering trends and contribute to the team's continuous improvement.
Key Requirements
Minimum 4 years in a data engineering or similar role.
Experience in cloud platforms such as AWS, Azure, or GCP.
Proficiency in Python and R programming for data analysis and processing.
Expertise in SQL, with experience in query optimization and database design.
Hands-on experience with Alteryx for data preparation and automation.
Strong proficiency in Tableau for data visualization and dashboard development.
Experience with data warehousing, ETL development, and working with large datasets.
Ability to diagnose and resolve data-related issues efficiently.
Strong communication and collaboration skills, with the ability to convey complex technical concepts to non-technical stakeholders.