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职位LexisNexis (RELX)

Software Engineering Lead

LexisNexis (RELX)

Software Engineering Lead

LexisNexis (RELX)

Mumbai

·

On-site

·

Full-time

·

2w ago

Software Engineering Lead

Join an Inclusive, Supportive, and Diverse Team

About the Business

Brightmine, formerly known as XpertHR, is a global leader in people data, analytics, and insights for the HR sector, serving over 10,000 customers worldwide. Our mission is to empower HR professionals to thrive in a dynamic workplace through innovative technology, reliable workforce data, and expert guidance. We are dedicated to creating an environment where every individual feels valued, respected, and empowered to succeed. We welcome applications from candidates of all backgrounds, identities, and abilities. Learn more about Brightmine at www.brightmine.com.

About the Team

Our teams are structured in collaborative squads, including a Squad Lead, Business Analyst, Development Lead, Developers, and Testers. This approach encourages connectivity, teamwork, and efficient delivery by focusing our collective strengths on shared goals. The Data Engineering Squad is responsible for developing the Brightmine Data Platform, and you’ll be joining a supportive group dedicated to continuous learning and shared success.

About the Role

As a Software Engineering Lead, you will guide and support a team of Software Engineers while also contributing hands-on to complex systems and applications. You will help shape project plans, schedules, and development methodologies, ensuring the team’s work aligns with best practices. This role includes leadership responsibilities and opportunities for mentoring others.

Expertise in Py Spark and cloud development (Databricks and Azure) is highly valued. The Senior Data Engineer will join the LNRS-Mumbai team to contribute to the Brightmine Data Platform project.

Responsibilities

  • Provide leadership, guidance, and vision to technology squads, including software engineers, testers, and business analysts.
  • Support and mentor team members of diverse backgrounds, including interns and contractors, to foster successful product delivery.
  • Collaborate closely with peers in development, product, and project leadership to ensure timely completion and delivery of software components and related solutions.
  • Act as a subject matter expert within your team and contribute to hands-on development for complex systems and applications.
  • Participate in project planning and scheduling, uphold software development best practices, and help develop cross-functional solutions using Azure, Databricks, and Snowflake.
  • Work together with system architects, development teams, business analysts, and end-users to translate requirements into effective technical solutions.

Requirements

  • Experience with Apache Spark, Python, Databricks, SQL/NoSQL, and preferably Azure.
  • Proficiency in SQL and Unix, with understanding of Data Manipulation Language (DML) and ETL concepts.
  • Experience with data pre-processing, modeling, profiling, and ETL tools such as Azure Data Factory or other Big Data platforms. Python skills are important, regardless of experience with specific ETL tools.
  • Ability to work with cloud technologies, ideally Azure and Py Spark, with experience in cloud-based tools including Databricks and Data Factory, or similar solutions.
  • Familiarity with Py Spark, basic Terraform, and software development methodologies such as Agile or Waterfall.
  • Strong analytical, communication, and problem-solving skills.
  • Willingness and aptitude to learn new technologies and processes**.**
  • Demonstrated ability to support end-to-end development and uphold code review standards and best practices.

Our Commitment to Diversity and Inclusion

Brightmine is committed to building a workplace where everyone is empowered to succeed. We actively encourage applications from individuals of all backgrounds, identities, and abilities. We provide reasonable accommodations for candidates with disabilities and offer a supportive environment for professional growth.

Learn more about the Lexis Nexis Risk team and how we work

We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.

We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.

Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here.

Please read our Candidate Privacy Policy.

We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

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EEO Know Your Rights.

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关于LexisNexis (RELX)

LexisNexis (RELX)

Provides data and technology services, analytics, predictive insights, and fraud prevention for a wide range of industries.

10,001+

员工数

Alpharetta

总部位置

$41.2B

企业估值

评价

4.2

47条评价

工作生活平衡

4.1

薪酬

4.6

企业文化

4.4

职业发展

4.2

管理层

3.7

86%

推荐给朋友

优点

Flexible remote work options and good work-life balance

Competitive compensation packages with equity

Opportunities for continuous learning and growth

缺点

Organizational changes and restructuring can be disruptive

Internal politics in some teams

Fast-paced environment with tight deadlines

薪资范围

66个数据点

Junior/L3

Mid/L4

Junior/L3 · Data Analyst I

2份报告

$72,805

年薪总额

基本工资

$63,221

股票

-

奖金

-

$72,805

$72,805

面试经验

5次面试

难度

3.0

/ 5

时长

14-28周

体验

正面 0%

中性 80%

负面 20%

面试流程

1

Application Review

2

HR Screen

3

Technical Interview

4

Background Check

5

Offer

常见问题

Technical Knowledge

Past Experience

Behavioral/STAR

Data Analysis