job description
Join WalterMart Supermarket, Inc. as a Data Engineer and be part of a dynamic team driving innovation in retail technology. In this role, you will design, build, and maintain scalable data pipelines and infrastructure to support business intelligence and analytics initiatives. You will work closely with cross-functional teams to transform raw data into actionable insights, ensuring data accuracy, accessibility, and security.
This is an exciting opportunity to contribute to a leading supermarket chain's digital transformation, leveraging cutting-edge technologies to enhance customer experiences and operational efficiency. If you are passionate about data engineering and eager to make an impact in a fast-paced environment, we want to hear from you!
Responsibility
- Design, develop, and maintain scalable data pipelines and ETL processes to support business needs.
- Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver solutions.
- Ensure data integrity, accuracy, and security across all systems and platforms.
- Optimize and monitor data workflows to improve performance and reliability.
- Implement data governance and quality control measures to maintain high standards.
- Work with cloud-based data platforms (e.g., AWS, Azure, GCP) to manage and process large datasets.
- Automate data collection, transformation, and reporting processes to enhance efficiency.
- Stay updated with industry trends and emerging technologies in data engineering.
Qualifications
- Bachelor's degree in Computer Science, Engineering, or a related field.
- Proven experience as a Data Engineer or in a similar role, with a strong background in data pipeline development.
- Proficiency in programming languages such as Python, Java, or Scala.
- Experience with big data technologies (e.g., Hadoop, Spark, Kafka) and SQL/NoSQL databases.
- Familiarity with cloud platforms (AWS, Azure, GCP) and data warehousing solutions (e.g., Snowflake, Redshift).
- Strong problem-solving skills and attention to detail.
- Excellent communication and collaboration skills to work effectively with cross-functional teams.
- Certifications in data engineering or cloud technologies are a plus.