Infosys

Hadoop and Spark Developer

Infosys$90K — $120K *
Plano, TX 75025In-Person
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of hands-on experience in data warehousing architectural approaches.
  • Strong understanding of the Hadoop ecosystem, particularly Cloudera.
  • Proven experience with Big Data implementations in production settings.
  • Proficiency in Big Data technologies such as Hadoop, Hive, Spark, and Python.
  • Experience with orchestration tools, e.g., Autosys and Airflow.
  • Solid knowledge of relational databases (SQL) and experience with large SQL systems.
  • Understanding of Agile methodologies.

Responsibilities

  • Assist in conducting interviews and workshops to gather user needs and document requirements.
  • Participate in design discussions to draft software specifications and create process documentation.
  • Develop and document code for new software applications per detailed design specifications.
  • Execute test plans, analyze outcomes, and report defects to the development team.
  • Support integration of new software features into existing systems smoothly.
  • Monitor and troubleshoot live applications, ensuring prompt issue resolution.
  • Documentation of coding practices, testing methods, and technical solutions for team knowledge sharing.

Benefits

  • Medical, Dental, Vision, and Life Insurance
  • Long-term and Short-term Disability
  • Health and Dependent Care Reimbursement Accounts
  • Additional Insurance options (Accident, Critical Illness, Hospital Indemnity, Legal)
  • 401(k) plan with contributions based on salary
  • Paid holidays and Paid Time Off
Full Job Description
Job details

Job Role

Technology Consultant 1

Career Role

Technology Analyst - US

Work Location

Charlotte, NC, Plano, TX

State / Region / Province

North Carolina, Texas

Country

USA

Domain

Delivery

Interest Group

Infosys Limited

Company

ITL USA

Requisition ID

146966BR

Technical Skills 1

Technology|Big Data - Data Processing|Spark

Technical Skills 2

Technology|Big Data - Hadoop|Hadoop

In the assigned Job Role of Technology Consultant 1, your Area Of Responsibility will be as below:
• Assist in conducting targeted interviews and workshops to capture user needs, and ensure accurate documentation of stakeholder requirements
• Participate in design discussions to capture software specifications, and aid in creation of process documentation.
• Develop, refine, and document code for new software applications, following detailed design specifications to meet user requirements
• Execute test plans, analyse outcomes, and report defects to the development team, to facilitate enhancement of software performance
• Support the integration of new software features, facilitating smooth transitions within the existing system infrastructure
• Monitor and troubleshoot live applications, ensuring prompt resolution of issues and creation of comprehensive documentation for ongoing system maintenance
• Systematically document coding practices, testing methodologies, and technical solutions, thereby enriching team's knowledge repository

Your contribution to the team:
• An agile mindset with effective communication and problem-solving skills.
• The ability to work on majority of the areas as part of SDLC lifecycle
• Passion for innovating solutions that drive progress and meet future challenges.
• A proactive approach to monitoring and resolving production issues before they escalate.
• Commitment to continuous learning, knowledge sharing, and fostering team development

Required Skill and Experience
• Hands on experience in data warehousing architectural approaches.
• Sound understanding and experience with Hadoop ecosystem (Cloudera).
• Experience in working with a Big Data implementation in production environment. Must have experience with Big Data technologies like Hadoop, Hive, Spark, python, etc. Experience in python and Unix shell scripting.
• Experience in orchestration tool like Autosys, Airflow.
• Sound knowledge of relational databases (SQL) and experience with large SQL based systems.
Understanding of Agile methodologies and technologies

Preferred Skill and Experience
• Able to understand and explore the constantly evolving tools within Hadoop ecosystem and apply them appropriately to the relevant problems at hand.
• Knowledge and experience with Cloud and containerization technologies
• Experience with data visualization tools like Tableau

Additional Required Qualifications
• Bachelor's 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 education.
• This position may require relocation and/or travel to work/project location.
• 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 now or in the future.

Benefits

Along with competitive pay, as a full-time Infosys employee you are also eligible for the following benefits:
  • Medical/Dental/Vision/Life Insurance
  • Long-term/Short-term Disability
  • Health and Dependent Care Reimbursement Accounts
  • Insurance (Accident, Critical Illness , Hospital Indemnity, Legal)
  • 401(k) plan and contributions dependent on salary level
  • Paid holidays plus Paid Time Off

About Infosys

Infosys Limited is an Indian multinational corporation that provides business consulting, information technology and outsourcing services. It has its headquarters in Bangalore, Karnataka, India. Infosys is the second-largest Indian IT company after Tata Consultancy Services by 2017 revenue figures and the 596th largest public company in the world based on revenue. On 31 March 2018, its market capitalisation was $37.32 billion. The credit rating of the company is A? (rating by Standard & Poor's).
Learn more about Infosys
Size
314,015 employees
Market Cap
$77.5 billion
Industry
Net Income
$178.5 billion
Founded
2004
5 Year Trend
+12.2%
Revenue
$945.9 billion
NASDAQ

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