Hadoop Developer

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 www.ltimindtree.com.

Role: Big Data Hadoop Developer

Location: Charlotte, NC

Duration: Fulltime

Job Summary

Seeking a Senior Specialist with 7 to 11 years of experience to design develop and maintain scalable big data solutions using the Big Data Hadoop Ecosystem Spark SparkSQL and Python

Job Description

Utilize the Big Data Hadoop Ecosystem to efficiently process and analyze large datasets Develop and optimize data workflows leveraging Hadoop Spark and SparkSQL for largescale data analytics Develop Python applications and scripts to automate data processing and integration within the Hadoop ecosystem Collaborate with crossfunctional teams to understand data requirements and deliver optimized solutions aligned with business goals Ensure data quality integrity and governance across distributed systems Integrate various data ingestion and transformation tools such as HDFS Hive Sqoop Oozie and Kafka Stay updated with emerging technologies and best practices in Hadoop Spark Python and big data frameworks Optimize system performance and troubleshoot issues related to big data infrastructure to ensure high availability and reliability

Roles and Responsibilities

Design develop and deploy scalable big data solutions using Hadoop and Spark ecosystems Implement and optimize SparkSQL and PySpark jobs to enhance performance and resource utilization Monitor and maintain Hadoop clusters for stability capacity planning and performance tuning Collaborate with data engineers analysts and stakeholders to deliver actionable insights and highquality data solutions Conduct code reviews provide technical guidance and mentor junior team members Participate actively in Agile ceremonies including sprint planning code reviews and release cycles Document technical specifications processes and best practices related to big data projects Ensure security and compliance standards are met within big data environments

Mandatory Skills : Big Data Hadoop Ecosystem

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.