Sr Engineer, Data

About the Role:

This role is essential for designing and developing data architectures across on-premises, cloud, and hybrid platforms to support organizational data needs. It primarily involves collaborating with data engineers to analyze, architect, design, and develop data solutions that power enterprise-wide customer insights, personalization, and decision-making capabilities within our customer data platform. The role includes mentoring team members to enhance their data engineering skills and capabilities. Success is measured by the effectiveness of data engineering solutions, team skill development, and contribution to data architecture innovation. The work impacts the organization by enabling data-driven decision-making and advancing data infrastructure capabilities for business insights.

What Youll Do:

• Design and maintain scalable data pipeline architectures to ensure efficient data processing and delivery
• Assemble and integrate large, complex data sets that meet business and technical requirements
• Develop analytics tools that leverage data pipelines to generate insights on business performance metrics
• Collaborate with stakeholders to resolve data-related technical issues and support infrastructure needs
• Create data tools that assist analytics and data science teams in optimizing product performance
• Work with data and analytics experts to enhance data system functionality and capabilities
• Also responsible for other duties/projects assigned by business management as needed

What Youll Bring:

• Bachelors Degree
• 6 to 8 years of related work experience OR combination of education and experience deemed equivalent

Must Have Skills:

• 6 to 8 years of experience in Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Hands-on experience developing and migrating data solutions on cloud platforms, particularly Azure and Databricks.
• Skilled in building and operating scalable data pipelines using Python, PySpark, Spark SQL, and SQL, with exposure to data processing.
• 6 to 8 years of experience in Data Engineering
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases
• Hands-on experience with Snowflake for building and managing cloud-based data warehouses, including data modeling, query optimization, and performance tuning.

Nice to Have:

• Apache Iceberg or other modern table formats
• Familiarity with APIs and event-driven or streaming data concepts
• Unity Catalog governance and security concepts
• Scala (Spark)
• Cloud certifications (Azure preferred)
• Exposure to Customer Data Platforms (CDP) or customer analytics domains

TMUS India Private Limited, operating as TMUS Global Solutions, has engaged ANSR, Inc. ("ANSR") as its exclusive recruiting partner. That meansthat any communications regarding TMUS Global Solutions opportunities or employment offers will be issued only through ANSR and the 1Recruit platform. If you receive a communication or offer from another individual or entity, please notify TMUS Global Solutions immediately.

TMUS Global Solutions willnever seek any payment or other compensation during the hiring process or request sensitive personal data (such as bank details or government-issued identification numbers) prior to a candidates acceptance of a formal offer.