Junior Python Developer Jobs in Valrico, FL (NOW HIRING)

About LTIMindtree

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

Job Title: Big data Developer

Work Location : Tampa, florda/ Irving, TX

Duration: Full time

Job Summary

• Seeking a Specialist with 5 to 7 years of experience in the Big Data Hadoop Ecosystem to design develop and optimize largescale data solutions

Job Description

• Work extensively with the Big Data Hadoop Ecosystem to manage and process large datasets Utilize Hadoop components such as HDFS MapReduce and YARN for efficient data storage and processing Develop scalable data pipelines and workflows to support data analytics and business intelligence initiatives Collaborate with cross functional teams to integrate data from diverse sources Leverage Apache Spark and SparkSQL to improve data processing speed and efficiency Apply Python programming skills for data manipulation automation and scripting tasks Ensure data quality reliability and security across all data processes Stay updated with the latest advancements and trends in Hadoop and big data technologies

Roles and Responsibilities

• Design develop and maintain big data solutions using Hadoop Ecosystem components Optimize and tune Hadoop and Spark jobs to enhance performance and scalability Implement data ingestion transformation and aggregation processes Troubleshoot and resolve issues related to data processing and storage Collaborate with data scientists analysts and other stakeholders to gather and understand data requirements Develop and maintain comprehensive documentation for data workflows architecture and processes Mentor junior team members and provide technical guidance on big data technologies Participate in code reviews testing and deployment activities to ensure high quality deliverables

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 Canada 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.

LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, colour, 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.