Data Engineer – Associate 23O25

As a Data Engineer – Associate, you'll play a critical role in transforming data into precise, actionable insights that help drive business decisions within the organization. You will be responsible for developing, constructing, testing, and maintaining architectures, such as databases and large-scale processing systems. You will work closely with data architects, data scientists, and stakeholders to understand the business requirements and turn raw data into meaningful information. The role requires a blend of both technical expertise and interpersonal skills as you will engage with multiple teams to ensure optimal data delivery architecture. If you are a self-driven individual with a passion for data and a desire to work in a dynamic environment, this role is for you.

Responsibilities

• Design, develop, test, and maintain highly scalable data architectures.
• Integrate large, complex data sets from various sources into databases.
• Collaborate with data scientists and architects to ensure data quality.
• Create and maintain optimal data pipeline architecture and ETL processes.
• Identify, design, and implement process improvements to enhance data flow.
• Work closely with the IT and business teams to support data needs.
• Monitor and maintain existing data systems for performance and reliability.
• Translate business requirements into non-technical, lay terms for stakeholders.
• Document data processes, architecture, and maintain relevant data policies.
• Assist in the development and maintenance of the data warehouse solutions.
• Provide technical support and troubleshooting for data related issues.
• Stay abreast of the latest industry trends and technologies in data engineering.

Requirements

• Bachelor’s degree in Computer Science, Data Science, or a related field.
• Strong experience in SQL and working with relational databases.
• Proven programming experience in Python, Java, or Scala preferred.
• Experience with data pipeline tools like Apache Kafka and Apache Spark.
• Solid understanding of data warehousing design concepts and methodologies.
• Excellent problem-solving skills and a meticulous attention to detail.
• Effective communication and collaboration skills with diverse teams.