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Lead Consultant - Databricks Data Engineering

Infosys

Lead Consultant - Databricks Data Engineering

Infosys

Sofia, Bulgaria

·

On-site

·

Full-time

·

1d ago

Job Description

Today, the corporate landscape is dynamic and the world ahead is full of possibilities! None of the amazing things we do at Infosys would be possible without an equally amazing culture, the environment where ideas can flourish and where you are empowered to move forward as far as your ideas will take you.

At Infosys, we assure that your career will never stand still, we will inspire you to build what's next and we will navigate further together. Our journey of learnability, values and trusted relationships with our clients continue to be the cornerstones of our organization and these values are upheld only because of our people.

Required Skills (Must Have)

  • Hands-on experience with Databricks (notebooks, clusters, jobs, Delta Lake).
  • Strong understanding of ETL/ELT processes.
  • Experience with Python or SQL.
  • Good understanding of cloud platforms (Azure, AWS, or GCP).
  • Knowledge of Delta Lake features (ACID transactions, time travel, schema evolution).
  • Familiarity with data warehousing concepts.
  • Ability to work with large datasets and optimize performance.
  • Strong debugging and problem-solving skills.

Preferred Skills (Good to Have)

  • Experience with streaming systems (Auto Loader, Structured Streaming).
  • Knowledge of CI/CD workflows (Git, DevOps pipelines).
  • Experience with orchestration tools (Azure Data Factory, n8n, etc.).
  • Understanding of lakehouse architecture.
  • Exposure to ML workflows or MLOps.

Qualifications

  • 2-6 years of experience in data engineering or analytics.
  • Certifications in Databricks, Azure, AWS, or GCP are a plus.

Soft Skills

  • Good communication skills.
  • Ability to work with cross-functional teams.
  • Proactive attitude and ownership mindset.

About Infosys

Infosys is a global leader in next-generation digital services and consulting. We enable clients in 46 countries to navigate their digital transformation. With over three decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through the many next of 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.
Visit www.infosys.com to see how Infosys can help your enterprise navigate your next.

All aspects of employment at Infosys are based on merit, competence and performance. We are committed to embracing diversity and creating an inclusive environment for all employees. Infosys is proud to be an equal opportunity employer

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Infosys 소개

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+

직원 수

Bengaluru

본사 위치

$72B

기업 가치

리뷰

3.9

10개 리뷰

워라밸

3.7

보상

2.8

문화

4.1

커리어

3.2

경영진

3.4

75%

친구에게 추천

장점

Flexible work hours and remote work options

Good learning opportunities and training programs

Collaborative environment and supportive colleagues

단점

High workload and long hours during deadlines

Low salary and uncompetitive pay

Limited career advancement and growth opportunities

연봉 정보

220,463개 데이터

Junior/L3

Junior/L3 · Technology Analyst

26,472개 리포트

$79,728

총 연봉

기본급

$79,728

주식

-

보너스

-

$62,047

$102,446

면접 경험

2개 면접

난이도

3.5

/ 5

소요 기간

14-28주

경험

긍정 0%

보통 50%

부정 50%

면접 과정

1

Application Review

2

Online Assessment

3

Technical Interview

4

HR Round

5

Final Decision

자주 나오는 질문

Technical Knowledge

Coding/Algorithm

Behavioral/STAR

Past Experience

Problem Solving