Data Engineer

Responsibilities:

• Collaborate with business analysts and other stakeholders to gather data requirements and provide data solutions that drive decision-making.
• Build and maintain automated ETL/ELT pipelines that facilitate data extraction, transformation, and loading from multiple sources.
• Troubleshoot, monitor, and resolve data-related issues across the pipeline.
• Create and optimize dashboards using tools like Sisense to provide actionable insights to end-users.
• Ensure data governance, quality, and security policies are followed throughout the data pipeline.
• Provide guidance on best practices for data modeling, database design, and performance optimization.

 Qualifications:

• 3+ years experience working directly with relational databases, SQL, and data transformation techniques.
• Strong experience with dashboarding tools like Sisense, Power BI, or Tableau for visualization and reporting.
• Must be a self-starter with the ability to work independently, manage their own projects, and meet deadlines effectively.
• Strong analytical and problem-solving skills with the ability to manage large datasets and complex data structures.

Key Skills:

• Machine learning.
• SQL.
• Big data.
• Data pipelines.
• Data warehousing.
• Cloud computing.
• ETL.
• Data modeling.
• Data visualization.