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  • Emplois similaires à : Tech Lead Manager, Data Engineer
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Lead Data EngineerInfosys • Bellevue, Washington, United States
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Lead Data Engineer

Infosys
  • US
    Bellevue, Washington, United States
  • US
    Bellevue, Washington, United States
Postuler Maintenant

À propos

Overview The Infosys Data and Analytics (DNA) unit is at the forefront of transforming data into actionable insights, driving business growth and operational efficiency. We specialize in leveraging advanced AI and analytics to create innovative solutions that address complex business challenges. Our team is dedicated to pioneering the future of data-driven decision-making, enabling organizations to unlock new opportunities and achieve sustainable success. Join us to be part of a dynamic team that is revolutionizing the way businesses harness the power of data and AI. At Infosys DNA, you'll have the opportunity to work with cutting-edge technologies, collaborate with industry experts, and contribute to transformative projects that shape the future of business. We are committed to fostering a culture of continuous learning and growth, ensuring that our team members thrive in a dynamic and supportive environment. If you're passionate about AI and eager to make a significant impact, the Infosys DNA unit is the perfect place for you to grow and excel.
Job Role Responsibilities Contribute to the requirements elicitation process by documenting assigned parts of business requirements, in line with guidance provided
Facilitate software application design discussions, and document design decisions to guide the technical team towards building software solutions
Participate in coding and integrate new features or updates into existing applications, with a focus on maintaining system stability
Conduct code reviews, do changes to the codebase and maintain code repositories
Implement test strategies, analyse results, and coordinate bug fixes to uphold the software quality standards
Develop user training programs, documentation, and support frameworks to ensure a smooth transition to new software applications
Actively participate in resolving production issues and recommend preventive strategies to enhance system reliability
Maintain detailed records of code, testing techniques, and support activities to enrich the knowledge base and assist other similar projects
Your Contribution To The Team A collaborative spirit and excellent communication skills.
The ability to handle end to end SDLC phases from requirement gathering to implementation.
A knack for translating complex requirements into actionable development tasks.
A passion for design and hands‑on coding experience
A proactive approach to testing, troubleshooting, and refining our applications.
The ability to work with cross‑functional teams and do software integration.
Required Skill And Experience Design, develop, and maintain data pipelines using AWS Redshift, Databricks, and Snowflake
Ingest, transform, and curate data from multiple sources, optimize solutions for performance, reliability, scalability, and cost
Implement data quality checks, monitoring, and observability for production pipelines
Perform root cause analysis on data incidents and pipeline failures, and implement preventive fixes to avoid recurrence
Data wrangling of heterogeneous data, exploration and discovery in pursuit of new business insights
Collaborate with analytics and business teams to deliver trusted datasets, mentor other team members in their efforts to build data engineering skillsets
Assist team management in defining projects, including helping estimate, plan and scope work, prepare and contribute to presentations required by management
Preferred Skill And Experience Ability to write detailed and comprehensive testing documentation. Strong focus on code quality with the ability to design and execute thorough tests.
Ability to manage work across multiple projects, good organizational skills
Ability to quickly learn new technologies and understand data flows and business concepts.
Excellent problem‑solving skills, attention to detail, and the ability to work independently.
Proven track record of proactively identifying, performing root cause analysis on, and mitigating production data issues.
Ability to conduct effective code reviews.
Ability to interview without use of AI tools
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 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 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.
EEO 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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  • Bellevue, Washington, United States

Compétences linguistiques

  • English
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