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Big Data Lead
Big Data LeadInfosys • Richardson, TX, United States
Big Data Lead

Big Data Lead

Infosys • Richardson, TX, United States
[job_card.variable_days_ago]
[job_preview.job_type]
  • [job_card.full_time]
[job_card.job_description]

Infosys is seeking a Big Data Lead. In the role of Technology Lead, you will be a technology professional adding value to a gamut of Software Development lifecycle stages. You will create detailed design artifacts like program specifications, test plans; and independently develop and review code and contribute to the go-live plan. You will have the opportunity to collaborate with some of the best talent in the industry to create innovative high quality and defect?free solutions to meet our clients business needs. You will be part of a learning culture, where teamwork and collaboration are encouraged, excellence is rewarded, and diversity is respected and valued.

Required Qualifications

  • Candidate must be located within commuting distance of Richardson, TX or be willing to relocate to the area. This position may require travel to project locations.
  • Bachelors degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of Experience.

Preferred Qualifications

  • Minimum 4 years of experience in Big Data / Hadoop Ecosystem technologies.
  • Working experience in below technologies :
  • HDFS

  • Hadoop
  • Map Reduce
  • Apache Pig
  • Apache Hive
  • HBase
  • Sqoop
  • Apache Oozie
  • Apache Spark
  • SQL
  • Kala
  • Scala
  • Python
  • Shell Scripting
  • Working experience in Cloud is required.
  • Should be having good working exp in data pipeline areas using platforms such as Google BigQuery and Prism (Looker) dashboards.
  • Scripting ability - Shell or similar experience.
  • At least 4 years of experience with collecting client technical requirements and translating these to project requirements.
  • Talent must be strong around Software Engineering skills.
  • Should have a passion to acquire new technologies quickly and be capable of comprehending and managing the tasks accordingly.
  • At least 4 years of experience Project life cycle activities on development and maintenance projects.
  • Multi cloud architecture exposure preferred, should have sound working exp in data pipeline enhancement areas.
  • Talent should have debugged experience eg to do the RCA for finding issues causing data pipeline failure.
  • Talent should have exposure on multiple platforms eg, Spark, Kala, Hive, Java, Python etc.
  • Ability to work in team in diverse / multiple stakeholder environment.
  • Analytical skills.
  • Experience and desire to work in a Global delivery environment.
  • Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time.

    The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face to face. Travel may be required as per the job requirements.

    About Us

    Infosys is a global leader in next?generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI?powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always?on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.

    Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse / family member of a protected veteran; or disability.

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