Data Engineer I
PDI Technologies
- Hyderabad, Telangana
- Permanent
- Full-time
For nearly 40 years, PDI has helped convenience retailers and petroleum wholesalers adapt to changes in the industry by leveraging the latest technologies. Simplifying the complexity in your world is our main focus. That's why we're delivering an integrated portfolio of global, cloud-based solutions and services to meet our customers needs today and well into the future. From the back office to fuel logistics, and the latest wave of consumer demands and digital commerce, PDI solutions and services are designed to give you a competitive edge. Our deep domain knowledge is backed by our industry-specific software offerings and a people-first approach. Serving the entire supply chain means that we’ve had to solve a wide range of industry challenges and deliver measurable value. To address the increasingly dynamic convenience retail and petroleum wholesale industry, PDI leads the way with converged digital, cloud-optimized, secure, and scalable solutions including ERP, Loyalty, Fuel Pricing, Point-of-Sale and Logistics to create a broader industry ecosystem. The result is unparalleled insights, simplified operations, and higher profitability for your employees and business. We’re dedicated to helping our more than 1,500 customers in over 50 countries, providing solutions and services to over 200,000 sites.The Opportunity
Data engineer with experience building and maintaining data pipelines and knowledge of cloud data platforms.Primary Responsibilities
- Engineering cloud-based data lake solutions to connect and leverage organisational and external data
- Capture, process and store large volumes of data for multiple data science use cases
- Support and evolve existing ETL and data pipeline solutions
- Contribute to comprehensive technical documentation that supports the deployment and administration of the solutions we build
- Help to diagnose and fix issues in complex technical environments
- Experience building and managing robust and scalable data pipelines
- Experience with ETL and ELT
- Knowledge of processes and solutions for data distribution and data archiving
- Good knowledge of Python
- Knowledge of SQL
- Knowledge of R - desirable
- Experience working in a cloud environment, particularly AWS
- Exposure to data science and machine learning models and solutions - desirable
- Experience working within an SDLC
- Experience of Agile Methodologies
- Excellent oral and written communication.