Lead Data Engineer (GenAI / LLM Applications)
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 24d ago
The date the source published, not the day we noticed it (2026-09-08). Last seen at its source 3h ago.
We have tracked this listing since 22 Sep 2026 (9 days). The employer's own board has carried it every time we have read it, most recently 3 hours ago.
Is it remote?
The listing says yes
The location field doesn't say remote, so our assessment is based on the title or the description. Read the listing before applying.
Who may apply?
India
The description agrees: it names India.
What the ad says
…remotely within India, while collaborating with global teams What You’ll Be Doing Design, develop, and maintain scalable software architectures and data pipelines that integrate with analytical a…
Pay not stated
Similar roles pay $6,750–7,250/mo
Middle 50% of 9 listings that do state pay — Engineering · all levels · India · USD/month. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
workday employer's own board first seen 9d ago · last seen 3h ago
- location not stated
The listing
We are looking for a skilled and motivated Lead Engineer to join our Data Science and Delivery group at Clario, a part of Thermo Fisher Scientific. This role combines software development, data engineering, and analytical problem‑solving to design, build, and maintain scalable data platforms that support clinical trial operations and business intelligence. You will work across the full software development lifecycle (SDLC)—from requirements gathering through production support—collaborating closely with data scientists, analysts, product managers, and engineering teams to deliver high‑quality, data‑driven solutions.
What We Offer
Competitive compensation aligned with local market practices
Comprehensive health and wellness benefits
Paid time off and company holidays
Opportunities for professional development, learning, and career growth
The flexibility of working from Bangalore or remotely within India, while collaborating with global teams
What You’ll Be Doing
Design, develop, and maintain scalable software architectures and data pipelines that integrate with analytical and operational systems.
Write clean, reusable, and well‑tested Python code using frameworks such as Flask and related libraries.
Leverage AI‑assisted development tools, including GitHub Copilot and LangChain, to design, build, and integrate LLM‑powered solutions such as retrieval‑augmented generation (RAG) pipelines, intelligent agents, and automated workflows using AWS Bedrock or similar services.
Develop and optimize complex SQL across Oracle, MS SQL Server, PostgreSQL, and Snowflake, including procedures, functions, views, analytical functions, and dynamic SQL.
Design and implement ETL pipelines using Snowflake and related data processing technologies.
Implement scheduling and orchestration using Apache Airflow or similar workflow orchestration frameworks.
Establish and maintain data quality frameworks, versioning, and governance practices to ensure data reliability, integrity, and compliance.
Develop and maintain data architectures and models for both structured and unstructured data sources.
Troubleshoot production issues and drive continuous improvement in software quality, performance, and reliability.
Deploy, manage, and support solutions on AWS, including storage, compute, and pipeline services.
Create source‑to‑target mappings and support data and code migration initiatives.
Partner with stakeholders to gather requirements, translate business needs into technical solutions, and produce clear, well‑structured documentation.
Collaborate with product managers, analysts, and cross‑functional teams to deliver data‑driven insights and reporting using tools such as Plotly and Power BI.
What We Look For
Bachelor’s or higher degree in Computer Science, Information Technology, or a related technical field.
5+ years of professional experience in software engineering, data engineering, or data‑focused development roles.
Strong proficiency in Python, including frameworks and libraries such as Django or Flask, pandas, NumPy, Plotly, and ag‑Grid.
Strong SQL expertise with Oracle, MS SQL Server, PostgreSQL, and/or Snowflake.
Proven experience writing complex SQL, including analytical and window functions, subqueries, all join types, DML/DDL/TCL statements, CASE expressions, and performance tuning.
Working knowledge of cloud platforms, with a preference for AWS (S3, EC2, Secrets Manager, Bedrock, Lambda).
Experience using AI‑assisted development tools and frameworks such as GitHub Copilot and LangChain for building LLM‑powered applications and workflows.
Experience with Git‑based version control systems and CI/CD pipelines.
Familiarity with data modeling concepts for both structured and unstructured data.
Strong analytical thinking, problem‑solving abilities, and communication skills.
Willingness to work across all phases of the SDLC, including requirements gathering, design, development, deployment, and production support.
Preferred experience includes exposure to the clinical trial lifecycle or clinical data management, data visualization tools (Plotly, Power BI), front‑end technologies (HTML5, CSS3, JavaScript), collaboration tools (Jira, Confluence, Microsoft Teams), and hands‑on data analysis or data cleansing using programming languages, SQL, and Excel.
At Clario, our purpose is to transform lives by unlocking better evidence. It’s a cause that unites and inspires us. It’s why we come to work—and how we empower our people to make a positive impact every day. Whether you’re starting your clinical data career or building long‑term expertise, your work helps bring life‑changing therapies to patients faster.