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Snowflake DBT Lead Data Engineer

Infosys

Snowflake DBT Lead Data Engineer

Infosys

Broomfield, CO

·

On-site

·

Full-time

·

1d ago

Infosys is seeking an AWS Snowflake and DBT Data Engineer. In this role, you will enable digital transformation for our clients in a global delivery model, research on technologies independently, recommend appropriate solutions and contribute to technology-specific best practices and standards. You will be responsible to interface with key stakeholders and apply your technical proficiency across different stages of the Software Development Life Cycle. 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 Broomfield, CO or be willing to relocate to the area. This position may require travel in the US
  • 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
  • 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
  • At least 4 years of Information Technology experience
  • At least 2 years of DBT experience
  • At least 2 years of Snowflake experience
  • Hands on experience with developing complex transformations using Data Build tool (DBT)
  • Strong knowledge and hands-on experience in SQL, Unix shell scripting, and Python

Preferred Qualifications:

  • Experience in end-to-end implementation using technologies such as AWS and Snowflake
  • Experience in Services and Utilities domain
  • Strong knowledge Data structures, Data Engineering concepts, Algorithms, Collections, Multi-threading and memory management and concurrency
  • Experience in large scale cloud data migrations using Snowflake, Python, Spark, SQL
  • Sound knowledge of software engineering design patterns and practices
  • Good understanding of Agile software development frameworks
  • Strong communication and Analytical skills
  • Ability to work in teams in a diverse, multi-stakeholder environment comprising of Business and Technology teams

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.

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

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About Infosys

Infosys

Infosys

Public

Infosys Limited is an Indian multinational technology company that offers information technology, business consulting, and outsourcing services. Founded in 1981 by seven engineers, the company is headquartered in Bengaluru and considered one of the Big Six Indian IT companies.

10,001+

Employees

Bengaluru

Headquarters

$72B

Valuation

Reviews

3.9

10 reviews

Work-life balance

3.7

Compensation

2.8

Culture

4.1

Career

3.2

Management

3.4

75%

Recommend to a friend

Pros

Flexible work hours and remote work options

Good learning opportunities and training programs

Collaborative environment and supportive colleagues

Cons

High workload and long hours during deadlines

Low salary and uncompetitive pay

Limited career advancement and growth opportunities

Salary Ranges

220,463 data points

Junior/L3

Junior/L3 · Technology Analyst

26,472 reports

$79,728

total per year

Base

$79,728

Stock

-

Bonus

-

$62,047

$102,446

Interview experience

2 interviews

Difficulty

3.5

/ 5

Duration

14-28 weeks

Experience

Positive 0%

Neutral 50%

Negative 50%

Interview process

1

Application Review

2

Online Assessment

3

Technical Interview

4

HR Round

5

Final Decision

Common questions

Technical Knowledge

Coding/Algorithm

Behavioral/STAR

Past Experience

Problem Solving