Job Summary :
We are seeking a skilled Data Engineer with a minimum of 5 years of experience to join our team.
The ideal candidate will have a strong background in SQL, ETL, and data warehousing.
You will be responsible for building and maintaining robust data pipelines, ensuring data is accurately extracted, transformed, and loaded to support our business intelligence and analytics initiatives.
This role requires a hands-on approach and a commitment to data quality and efficiency.
Key Responsibilities Engineering & ETL :
- Design, develop, and maintain ETL (Extract, Transform, Load) processes to support our data infrastructure.
- Utilize strong data warehousing experience to manage and optimize data storage solutions.
- Build and maintain data pipelines to ensure the seamless flow of data from various sources to a central Development :
- Write complex and efficient SQL queries for data extraction, manipulation, and analysis.
- Develop stored procedures, functions, and views to automate data-related tasks.
Collaboration & Support :
Collaborate with data analysts and other teams to understand data needs and provide reliable data solutions.Support and troubleshoot existing data pipelines and warehousing systems to ensure their reliability.Required Skills : Core Experience :
5+ years of professional experience in data engineering, data warehousing, and ETL.Technical Proficiency :
Strong experience in SQL development.Proven experience with ETL processes and tools.Hands-on experience with data warehousing concepts and technologies.Preferred Skills :
Knowledge of MLOps (Machine Learning Operations).Experience with data lakes and big data technologies.Experience with cloud platforms like AWS, Azure, or GCP(ref : hirist.tech)