Lead cutting-edge data engineering initiatives at LTIMindtree, where you'll architect scalable data pipelines and drive innovation in big data technologies for global clients. Collaborate with cross-functional teams to deliver transformative solutions that power business growth and efficiency.

As a Principal Data Engineer at LTIMindtree, you will play a pivotal role in shaping the data architecture for our enterprise clients across various industries. Your responsibilities will include leading the design and development of robust, scalable data infrastructure that supports advanced analytics, machine learning, and real-time data processing.

You will collaborate closely with data scientists, architects, and business stakeholders to translate complex business requirements into efficient data solutions. This involves overseeing the implementation of data ingestion frameworks, ensuring data quality and governance, and optimizing performance for high-volume data environments.

LTIMindtree values innovation and excellence, providing you with the opportunity to work on transformative projects that leverage the latest in cloud-native technologies and open-source tools. You will also mentor junior engineers, foster a culture of knowledge sharing, and contribute to strategic decisions that align data engineering practices with organizational goals.

If you are passionate about building resilient data ecosystems and thrive in a fast-paced, collaborative setting, this role offers the chance to make a significant impact on global digital transformations.

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field
• 10+ years of experience in data engineering, with at least 5 years in a leadership or principal role
• Expertise in designing and implementing data pipelines using tools like Apache Spark, Kafka, and Hadoop
• Proficiency in cloud platforms such as AWS, Azure, or GCP, including data services like S3, Redshift, and Databricks
• Strong programming skills in Python, Java, or Scala
• Experience with ETL processes, data modeling, and database optimization (SQL/NoSQL)
• Proven track record in mentoring teams and driving data strategy
• Excellent problem-solving skills and ability to handle complex, large-scale data challenges
• Knowledge of CI/CD pipelines and DevOps practices for data workflows

• Competitive salary and performance-based bonuses
• Comprehensive health, dental, and vision insurance coverage
• Generous paid time off and flexible working hours
• Professional development opportunities, including certifications and training programs
• Retirement savings plan with company matching
• Remote work options and supportive work-life balance policies
• Access to cutting-edge technologies and global project exposure
• Employee wellness programs and team-building events