Specialist - Product Engineering

We are looking for a highly skilled Java Apache Spark Developer with 5-8 years of experience in building scalable high performance data processing and backend applications. The ideal candidate should have strong hands‑on expertise in Java Apache Spark distributed data processing and experience working in large‑scale enterprises or BFSI environments.

• 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 8 and related frameworks.
• Work with large datasets to ensure high performance, fault tolerance and scalability.
• Integrate Spark jobs with HDFS, Hive, Kafka, relational and No
  
  SQL databases.
• Optimize Spark jobs for performance, memory and compute efficiency.
• Collaborate with cross‑functional teams, including Data Engineers, QA, Dev Ops 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.

• 5‑8 years of strong experience in Java Core, Java 8, and OOP concepts.
• Hands‑on experience with Apache Spark (Spark Core, Spark SQL, Data Frames, 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 Linux/Unix environments.
• Knowledge of version control tools like Git.
• Mandatory certification:
  Karat Assessment.

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

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.

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.