LTIMindtree is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies. As a digital transformation partner to more than 750 clients, LTIMindtree brings extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes in a converging world. Powered by nearly 90,000 talented and entrepreneurial professionals across more than 30 countries, LTIMindtree — a Larsen & Toubro Group company — combines the industry-acclaimed strengths of erstwhile Larsen and Toubro Infotech and Mindtree in solving the most complex business challenges and delivering transformation at scale. For more information, please visit ;/p>

Since we are actively recruiting for multiple Data Engineering roles, would request to please circulate this note to among your groups for better reach and help referring to you colleagues.

Position: Data Engineering roles

Position: Data Engineer with 9-10 years of experience

Location: Tampa,FL

Job Description:

We are seeking an experienced Data Engineer to join our team and help us build a secure and reliable data platform. The ideal candidate should have 9-10 years of experience in developing data pipelines, ETL processes, and data structures in Hadoop, Apache Spark, SQL, and Java.

The successful candidate will have a strong understanding of the data engineering pipeline, from ingestion to transformation, and be able to develop efficient and secure software solutions to support data-driven applications. The ideal candidate should have experience with design and implementation of data models, as well as performance tuning of data flows and services.

Responsibilities:

• Design and develop data models and ETL processes in Hadoop, Apache Spark, SQL, and Java.
• Design and implement data pipelines for data ingestion and transformation.
• Develop and maintain data warehouses and data marts.
• Develop data-driven applications to support data analysis and reporting.
• Monitor and optimize data flows and services for maximum efficiency.
• Troubleshoot data-related issues and provide technical support.
• Ensure data quality and security standards are met.
• Develop and document best practices for data engineering and data governance.
• Work collaboratively with data scientists, analysts, and other stakeholders.

Requirements:

• Bachelor's Degree in Computer Science, Mathematics, or a related field.
• 9-10 years of experience in developing data pipelines and ETL processes.
• Strong understanding of data engineering pipeline (ingestion to transformation).
• Experience with Hadoop, Apache Spark, SQL, and Java.
• Experience with data modeling and data warehousing.
• Experience with performance tuning of data flows and services.
• Familiarity with data security and data governance best practices.
• Ability to work independently and collaboratively with a team.
• Excellent verbal and written communication skills.