AHT Tech is a premium global group that focuses on Digital Commerce and Experience to assist clients in re-imagining their businesses in this digital era. Through human-centric innovation, our software engineering heritage combined with digital transformation strategy consulting, design thinking, disruptive IT lifecycle solutions as well as omnichannel CX solutions, offers real business value to our clients. We diligently work towards offering personalized solutions to help their businesses reach their peak digital performance. As a true technology partner, we are committed to investing in your success by delivering seamless experiences through technological expertise. 

 

Responsibilities:

• Design, develop, and maintain Data pipelines, Data Warehouse and Data Marts
• Perform data extraction, transformation, and loading (ETL) processes.
• Ensure the accuracy and reliability of data that are ingested in the data lake and transformed in the data marts that support multiple dashboards.
• Work with data source owners to determine the most efficient methods of data collection.
• Work with the dashboard developers and analysts to make sure the data is transformed and processed in a required format and data model for dashboarding.
• Troubleshoot data-related issues and maintain the data pipelines and data warehouse infrastructure.
• Stay updated with the latest data engineering trends, features, updates, and best practices.
• Write code that is reusable, testable and efficient.

• At least 2-4 years of data engineering experience.
• Proficiency in SQL and Python would be very important.
• Experience with Airbyte would be preferred.
• Familiarity with other ETL tools like Azure Data Factory, SSIS, AWS Glue, Airflow, Pentaho, Fivetran would be an advantage.
• Familiarity with databases like MariaDB, MySQL, Azure SQL Server, PostgreSQL, Amazon Redshift, Google BigQuery would be an advantage
• Strong knowledge of relational database theory, data modelling and architecture.
• Strong understanding of data ingestion and data engineering principles.
• Excellent problem-solving skills and attention to detail.
• Strong communication skills and working well in a team.
• Keen desire to use the power of analytics to drive ESG goals for corporates.
• English - Advanced