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Times Internet
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Data Engineer

Data Engineer

Times Internet

2 - 5 years

4 - 7 Lacs

noida

Posted:Just now| Platform:

Apply

Skills Required

computer science backend networking pharma mysql data processing workflow monitoring crm technical documentation

Work Mode

Work from Office

Job Type

Full Time

Job Description

At Times Internet, we create premium digital products that simplify and enhance the lives of millions. As India s

largest digital products company, we have a significant presence across a wide range of categories, including

News, Sports, Fintech, and Enterprise solutions.

Our portfolio features market-leading and iconic brands such as TOI, ET, NBT, Cricbuzz, Times Prime, Times

Card, Indiatimes, Whatshot, Abound, Willow TV, Techgig and Times Mobile among many more. Each of these

products is crafted to enrich your experiences and bring you closer to your interests and aspirations.

As an equal opportunity employer, Times Internet strongly promotes inclusivity and diversity. We are proud to

have achieved overall gender pay parity in 2018, verified by an independent audit conducted by Aon Hewitt.

We are driven by the excitement of new possibilities and are committed to bringing innovative products, ideas, and

technologies to help people make the most of every day. Join us and take us to the next level!

About the Business Unit (ET B2B):

The Economic Times B2B Verticals (ETB2B) is a leading business media platform under Times Internet Limited,

serving 23+ industry and functional domains including Auto, Energy, Pharma, Retail, and HR. With a monthly

reach of over 8 million professionals, ETB2B delivers curated content, newsletters, and premium conferences to

drive decision-making, learning, and networking. It also operates global editions and platforms like ET Masterclass

and vConfex to meet evolving digital needs.

The ET B2B Intent Signal Platform is a new initiative designed to turn high-value traffic into buying signals for

enterprise vendors by combining digital behavior, enrichment tools, and survey-based data from ET events

Key Responsibilities:

Build robust ETL/ELT pipelines to ingest, clean, transform, and aggregate massive volumes of data from multiple sources including web behavior data, third-party APIs, CRM data, and more.

Create and train predictive models to identify buying intent signals from unstructured and structured data by leveraging NLP techniques, pattern recognition, and behavioral analytics.

Utilize state-of-the-art NLP libraries (spaCy, Transformers), ML frameworks (Scikit-learn, TensorFlow/PyTorch), and APIs (OpenAI) to enhance data processing and feature engineering.

Work with backend engineers/end-to-end software teams to deploy ML models into production environments; closely partner with product managers and data scientists to iterate on model tuning and feature prioritization.

Ensure data is accurate, fresh, and compliant with security policies such as GDPR, SOC 2, and other industry standards. Implement monitoring and alerting for data pipeline health.

Continuously improve data pipeline efficiency and ML model inference speed to support real-time or near real-time buyer intent scoring.

Maintain clear technical documentation and best practices for data workflows, model deployment, and AI experiments.

Required Skills and Qualifications

Expertise in writing clean, modular, and optimized Python code for data manipulation, ML pipeline development, and model integration.

Hands-on experience with ETL tools (Airflow, Prefect), data processing libraries (Pandas, Dask), and workflow orchestration frameworks.

Practical knowledge of supervised/unsupervised learning algorithms, NLP techniques like entity extraction, sentiment analysis, text classification, and familiarity with libraries like spaCy, NLTK, and transformers.

Experience deploying ML models using containerization technologies (Docker, Kubernetes) and cloud infrastructures (AWS Sagemaker, GCP AI Platform, or Azure ML).

Experience using relational databases (PostgreSQL, MySQL) and large-scale data stores (Redshift, BigQuery, Snowflake) for batch and streaming analytics.

Ability to create dashboards and reports or work alongside data analysts to communicate model insights effectively.

Knowledge of version control (Git), CI/CD pipelines, unit testing, and collaborative agile workflows.

Education and experience:

Bachelor s or Master s degree in Computer Science, Data Science, Statistics, or a related quantitative discipline.

2 5 years of professional experience in data engineering, applied ML, or software engineering roles, preferably within SaaS, Martech, or B2B data analytics domains.

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Data Engineer