Python Automation Lead

About Us:

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 700+ 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 .

Job Title: Senior Specialist - Data Engineering (Python Automation Lead)

Work Location- Austin, TX

Job Description:

Seeking a Senior Specialist with 7 to 11 years of experience in Python and data technologies including Flask Apache Spark Scala and Nginx to design and implement scalable data driven solutions

Develop and maintain high performance data processing applications using Apache Spark and Scala Build and deploy RESTful APIs and web services using Flask framework.

Utilize Python extensively for data manipulation automation and integration tasks Configure and optimize Nginx as a reverse proxy and load balancer for web applications.

Collaborate with cross functional teams to design scalable data architectures within the Python Data skill cluster.

Ensure code quality performance and reliability through rigorous testing and best practices.

Stay updated with the latest trends and advancements in data engineering and Python ecosystems.

Lead the design and development of data processing pipelines leveraging Apache Spark and Scala.

Architect and implement backend services and APIs using Flask to support data driven applications. Manage deployment and configuration of Nginx servers to ensure high availability and security Mentor junior developers and provide technical guidance in Python and related technologies.

Work closely with data scientists analysts and product teams to translate requirements into technical solutions.

Optimize existing data workflows for performance and scalability Participate in code reviews troubleshooting and resolving complex technical issues.

Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree ( LTIM ):

Benefits and Perks:

• Comprehensive Medical Plan Covering Medical, Dental, Vision
• Short Term and Long-Term Disability Coverage
• 401(k) Plan with Company match
• Life Insurance
• Vacation Time, Sick Leave, Paid Holidays
• Paid Paternity and Maternity Leave

The range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation.

Disclaimer: The compensation and benefits information provided herein is accurate as of the date of this posting.

LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.