Key Responsibilities:

Design and develop data pipelines and ETL processes to extract, transform, and load data from various sources into our data warehouse
Collaborate with cross-functional teams to understand business requirements and translate them into technical specifications
Develop data models and data structures to support data analytics and reporting needs
Implement data quality checks and ensure data integrity and accuracy
Create and maintain data visualizations and dashboards to provide actionable insights to stakeholders
Monitor and troubleshoot data pipelines to ensure efficient and reliable data processing
Continuously evaluate and improve data analytics processes and infrastructure to support scalability and performance
Stay up-to-date with industry trends and best practices in data analytics and apply them to our data solutions

Qualifications:

Bachelor's degree in Computer Science, Engineering, or a related field
Minimum of 3 years of experience in data engineering or a related role
Strong programming skills in SQL, Python, and/or other relevant languages
Experience with data warehouse design and implementation
Proficiency in data modeling and data visualization tools such as Tableau, PowerBI, or Looker
Familiarity with cloud-based data technologies such as AWS, Azure, or Google Cloud Platform
Ability to work independently and in a team environment
Excellent problem-solving and analytical skills
Strong communication and collaboration skills

Join our team as a Data Analytics Engineer and be a part of our exciting journey to leverage data to drive business growth and success.

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