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About the role
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 84,000 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: Java Developer with Apache Spark
Work Location: Jersey City, NJ /Tampa, FL
Job Description: We are looking for a highly skilled Java Apache Spark Developer with 8 years of experience in building scalable high performance data processing and backend applications The ideal candidate should have strong handson expertise in Java Apache Spark distributed data processing and experience working in largescale enterprise or BFSI environments
Key Responsibilities · Design develop and maintain scalable Java based applications and Spark data processing pipelines · Build and optimize batch and streaming data solutions using Apache Spark · Develop backend services using Java Core Java Java 8 and related frameworks · Work with large datasets and ensure high performance fault tolerance and scalability · Integrate Spark jobs with HDFS Hive Kafka relational and NoSQL databases · Optimize Spark jobs for performance memory and compute efficiency · Collaborate with crossfunctional teams including Data Engineers QA DevOps and Product Owners · Follow coding standards best practices and secure development guidelines · Support production issues and perform root cause analysis · Participate in code reviews design discussions and Agile ceremonies Required Skills Qualifications · 5-8 years of strong experience in Java Core Java Java 8 OOP concepts · Handson experience with Apache Spark Spark Core Spark SQL DataFrames Datasets · Strong experience in distributed data processing and big data ecosystems · Proficiency in SQL and working with large datasets · Experience with HDFS Hive Kafka · Exposure to REST APIs and backend service development · Experience with LinuxUnix environments · Knowledge of version control tools like Git
Mandatory Skills : Java Good to Have Skills : Apache Spark, Data Architecture, SparkSQL
Actual compensation within the range will be dependent upon the individual's skills, experience, performance and internal equity.
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.
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