Specialist - Data Engineering

LTM

Tampa (FL)

On-site

USD 110,000 - 160,000

Full time

4 days ago
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Benefits offered by this job

Medical Plan
Disability Coverage
401(k) Plan
Life Insurance
Paid Holidays
Paid Leave

Job summary

LTIMindtree seeks a Specialist with 5–7 years of experience in Java, Apache Spark and Kafka to design and develop scalable big data solutions in Tampa, FL. You will design and implement high-performance data processing applications using Java and Spark, and develop real-time streaming solutions with Kafka.

You will collaborate with cross-functional teams to translate requirements into technical designs, ensure data pipeline reliability and scalability, and participate in Agile development

Qualifications

  • 5–7 years of experience in Java, Apache Spark and Kafka.
  • Experience designing scalable big data solutions.
  • Collaborative cross-functional teamwork and communication.

Responsibilities

  • Develop, test and deploy robust Java applications integrated with Apache Spark and Kafka.
  • Build and optimize data pipelines for batch and real-time processing.
  • Monitor and troubleshoot data processing workflows and streaming applications.
  • Collaborate with data engineers and architects to design scalable solutions.
  • Mentor junior team members and share knowledge.
  • Conduct unit testing and support integration and system testing activities.
  • Ensure adherence to coding standards, security practices and performance benchmarks.

Skills

Java
Apache Spark
Kafka
Big data

Tools

Hadoop
Nifi

Job description

Job Summary

Seeking a Specialist with 5 to 7 years of experience in Java Apache Spark and Kafka to design and develop scalable big data solutions

Role Description
Job Role : Java Spark role
Location : Tampa,Florida
Job Summary

Seeking a Specialist with 5 to 7 years of experience in Java Apache Spark and Kafka to design and develop scalable big data solutions

Job Description

Design and implement highperformance data processing applications using Java and Apache Spark. Develop and maintain realtime data streaming solutions leveraging Kafka. Collaborate with crossfunctional teams to gather requirements and translate them into technical designs. Ensure data pipeline reliability scalability and fault tolerance within HadoopSparkKafkaNifi ecosystem. Stay updated with the latest big data technologies and industry best practices to enhance development processes. Participate in code reviews and contribute to continuous improvement initiatives. Work within Agile development environments to deliver incremental value.

Roles and Responsibilities
  • Develop test and deploy robust Java applications integrated with Apache Spark and Kafka
  • Build and optimize data pipelines for batch and realtime processing
  • Monitor and troubleshoot data processing workflows and streaming applications
  • Collaborate with data engineers and architects to design scalable solutions
  • Mentor junior team members and facilitate knowledge sharing
  • Conduct unit testing and support integration and system testing activities
  • Ensure adherence to coding standards security practices and performance benchmarks
Other Details

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

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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