Senior Software Engineer I

Reposted 15 Hours Ago
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Chennai, Tamil Nadu, IND
In-Office
Senior level
Information Technology • Legal Tech • Professional Services • Analytics • Business Intelligence
The Role
Design, build, and maintain scalable ETL/data pipelines and infrastructure. Ensure data quality, ownership of data products, collaborate with analysts and data scientists, drive continuous improvement, and support delivery of AI-driven data solutions for business stakeholders.
Summary Generated by Built In

About the Business
 

At ICIS, our mission is to optimize the world’s resources. We help companies make strategic, sustainable decisions by bringing transparency to markets across the world. We create a comprehensive view of commodities markets, providing companies with the data and intelligence to successfully navigate across global value chains every day. Our customers benefit from instant access to price assessments, reports and forecasts, a dedicated news channel and supply and demand data. You can learn more about ICIS at the link below. https://www.icis.com/explore
 

About the Team

You’ll be joining a collaborative, high-performing team with deep technical and domain expertise. We work closely with Data Analysts and Data Scientists across a range of business areas, turning complex requirements into scalable, reliable data solutions. Our team plays a central role in ingesting and managing many of the organization’s key datasets. The data pipelines we build and maintain serve as the backbone for the insights delivered to our customers. Open communication, knowledge sharing, and a strong sense of ownership are core to how we work. With a strong focus on delivering the right data at the right time, this is a great opportunity to be part of a team where your work directly contributes to meaningful outcomes for our customers.

About the Role

We have an outstanding opportunity available for a senior data engineer within our data operations team. This role will collaborate with stakeholders across business units to design, develop, and maintain the data pipelines, ensuring data quality which provides customers with the ‘Right Data at the Right Time’.
This is an exciting opportunity to be part of a strategic transformation focused on data and AI innovation within a dynamic market-leading global business. We have a supportive culture with a keen focus on innovation, technical excellence, career development and mutual support.

Responsibilities

    • Data Pipeline Development and Maintenance: Design, develop, maintain and optimize robust data pipelines and ETL processes to ensure efficient data flow and integration.

    • Data Infrastructure Management: Manage and enhance our data infrastructure to support performance, scalability, and long-term reliability.

    • Data Quality Assurance: Implement data quality checks to maintain accuracy and consistency across all data sources

    • Drive Continuous Improvement: Identify opportunities to streamline processes and improve the efficiency of our data pipelines

    • Stakeholder Collaboration: Work closely with cross-functional teams to understand data requirements and deliver solutions that meet business needs and collaborate with Analysts, Data Scientists, product owners, and business stakeholders to deliver high-impact, AI-driven solutions.

Requirements

    • Considerable experience in Data Engineering with strong focus on Data Management and Data Quality

    • Bachelor’s Degree (Engineering/Computer Science preferred but not required); or equivalent experience required

    • Deep proficiency in Python, SQL and good proficiency in any of the Cloud platforms and Snowflake.

    • Continuous engagement with Data Science and Analytics colleagues to understand requirements for our data-assets and empower them with best possible data, to create high value analytical services

    • Ownership of assigned data products, including data model design, end-to-end data pipeline delivery, data product quality monitoring, requirements analysis and issue resolution

    • Working with other tech teams to define data requirements for external data products e.g., APIs, Data Marketplace offerings etc.

    • Create data-to-value framework, which enables data value tracking from ingestion to customer value realisation

    • A team player who works collaboratively and possesses excellent communications skills with ability to communicate technical details in business terminology

    • Demonstrated success in managing multiple deliverables concurrently and prioritising effectively

    • Detail-orientated with strong problem-solving skills, innovative thinking and self-motivation in learning and exploring applications

    • Capable of providing coaching and support to transfer technical and data knowledge, fostering a collaborative team environment

    • Contribute to continuous improvement initiatives and process enhancements.

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.

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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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Skills Required

  • Considerable experience in Data Engineering with focus on Data Management and Data Quality
  • Bachelor's degree (Engineering/Computer Science preferred) or equivalent experience
  • Deep proficiency in Python
  • Deep proficiency in SQL
  • Good proficiency in Cloud platforms
  • Experience with Snowflake
  • Experience collaborating closely with Data Science and Analytics teams
  • Ownership of data products including data model design, end-to-end pipeline delivery, and quality monitoring
  • Experience defining data requirements for external data products (APIs, Data Marketplace)
  • Ability to create data-to-value frameworks to track value from ingestion to customer realization
  • Excellent communication skills; able to translate technical details to business terminology
  • Proven ability to manage multiple deliverables and prioritize effectively
  • Coaching and mentoring capabilities to transfer technical and data knowledge

LexisNexis Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about LexisNexis and has not been reviewed or approved by LexisNexis.

  • Healthcare Strength Healthcare options are often described as comprehensive, spanning medical, dental, and vision coverage alongside life and disability protection. Wellbeing programming such as wellness initiatives and fitness support is also positioned as part of the overall package.
  • Retirement Support Retirement benefits are repeatedly framed as a meaningful component of total rewards through 401(k) matching and access to stock purchase opportunities. Performance bonuses and charitable matching are also included as financial-support features within the broader rewards mix.
  • Leave & Time Off Breadth Time-off offerings are portrayed as broad, including PTO, paid holidays, sick leave, and paid volunteer time. Flexible work arrangements, including remote options and flexible hours, further strengthen the overall rewards experience.

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The Company
HQ: New York City, NY
10,001 Employees
Year Founded: 1970

What We Do

LexisNexis Legal & Professional is a leading global provider of legal, regulatory and business information and analytics that help customers increase productivity, improve decision-making and outcomes, and advance the rule of law around the world. We help lawyers win cases, manage their work more efficiently, serve their clients better and grow their practices. We assist corporations in better understanding their markets, monitoring their brands and competition, and in mitigating business risk. We collaborate with universities to educate students, and we support nation-building with governments and courts by making laws accessible and strengthening legal infrastructures. We partner with leading global associations and customers to collect evidence against war criminals and provide tools to combat human trafficking. LexisNexis Legal & Professional, which serves customers in more than 130 countries with 10,000 employees worldwide, is part of RELX Group, a global provider of information and analytics for professional and business customers across industries.

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