Join Teradata as an Analytics Data Engineer to architect and optimize data pipelines that power advanced analytics and machine learning initiatives. Collaborate with data scientists and stakeholders to deliver scalable solutions that drive business intelligence and decision-making.

Teradata is a leading provider of analytics and data management solutions, empowering organizations worldwide to unlock the value of their data. As an Analytics Data Engineer, you will play a pivotal role in designing, building, and maintaining robust data infrastructures that support our clients' analytics needs.

In this position, you will work closely with data architects, scientists, and business analysts to ingest, process, and analyze large datasets from diverse sources. Your responsibilities will include developing efficient data pipelines using modern tools and frameworks, optimizing queries for performance, and implementing data governance best practices to ensure compliance and security.

You will contribute to innovative projects that leverage Teradata's cloud-native platforms, enabling real-time analytics and AI-driven insights. This role offers the opportunity to work on high-impact initiatives that influence strategic decisions across industries, while fostering continuous learning in an environment that values creativity and technical excellence.

If you are passionate about transforming raw data into actionable intelligence and thrive in a dynamic, results-oriented team, we encourage you to apply and help shape the future of data analytics at Teradata.

• Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field
• 3+ years of experience in data engineering roles, with expertise in ETL processes and data warehousing
• Proficiency in SQL, Python, and tools like Apache Spark or Hadoop for big data processing
• Strong knowledge of cloud platforms such as AWS, Azure, or Google Cloud, particularly in data services like S3, Redshift, or BigQuery
• Experience with data modeling, schema design, and ensuring data quality and integrity
• Familiarity with analytics tools like Tableau or Power BI for visualization and reporting
• Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment
• Strong communication skills to convey complex technical concepts to non-technical audiences

• Competitive salary and performance-based bonuses
• Comprehensive health, dental, and vision insurance coverage
• Flexible remote work options with opportunities for professional development
• Generous paid time off, including vacation and holidays
• Access to cutting-edge technologies and ongoing training programs
• Employee stock purchase plan and retirement savings matching
• Collaborative and inclusive company culture with global impact
• Wellness programs and mental health support resources