6,660 Customer Data jobs in India

Job Title: Customer Data Platform Specialist (Treasure Data)

Location: Bengaluru

Experience: 4 to 6 Years

Type of Employment: Contract

Project Overview

Work on the implementation and support of a Customer Data Platform (CDP) built on Treasure Data, designed to support Sales and Marketing initiatives. This role involves data engineering, automation, and support for day-to-day CDP operations.

Mandatory Skills

1. Advanced SQL Skills

2. Ability to write complex, optimized queries for large datasets (e.g., using Presto SQL)

3. Python Programming

4. Experience in using Python for data processing, automation, and integration tasks

5. Dig-Dag Workflow Management

6. Hands-on experience with Dig-Dag for scheduling and managing ETL pipelines

7. Treasure Data CDP

8. Practical experience in implementation or support of CDP solutions using Treasure Data

9. ETL Process Understanding

10. Proven experience in designing, building, and maintaining ETL workflows for customer data

11. Cloud Platform Knowledge

12. Basic working experience or understanding of cloud platforms (preferably AWS or Azure)

13. CDP Project Experience

14. Involved in end-to-end implementation or BAU (Business-As-Usual) support of a CDP project

15. Bachelors Degree (BE/BTech)

16. In Computer Science, Information Technology, or equivalent technical field

Position: Customer Data Platform (CDP) & Marketing Analytics Specialist, Hyderabad

Department: Information Technology | Role: Full-time | Experience: 5 to 10 Years | Number of Positions: 1 | Location: Hyderabad

Skillset:

CDP Implementations, Marketing Analysis, Python, SQL, ADF, Azure Databricks, GenAI, AI/ML, ML Ops, Excellent English Communication Skills

Job Description:

About the Role:

We are seeking a highly skilled CDP & Marketing Analytics Specialist to join our digital transformation team. The ideal candidate will have hands-on experience with Customer Data Platforms (CDPs) and a deep understanding of customer data ingestion, real-time data pipelines, and AI-driven marketing strategies
. You will be responsible for leveraging advanced analytics and machine learning to enable data-driven decision-making and hyper-personalized marketing at scale

Key Responsibilities:

• Design and implement end-to-end customer data ingestion strategies
 from diverse sources (CRM, web, mobile, social, PoS, etc.) into a unified CDP.

• Build and maintain real-time streaming data pipelines using tools such as Azure Data Factory, Databricks, Kafka
, etc.

• Design and implement composable Customer Data Platforms (CDPs) leveraging modern data platforms such as Snowflake, Databricks, and similar technologies.

• Develop and deploy AI/ML-driven customer segmentation models
 (behavioral, demographic, predictive — e.g., high CLV, churn-risk clusters).

• Perform advanced analytics, including:

o Customer Lifetime Value (CLV) estimation

o Churn prediction and retention modeling o Attribution analysis to evaluate campaign ROI

o Sentiment and intent analysis using NLP on social media, chat, and survey data

o Next Best Action (NBA) models to dynamically recommend personalized offers, content, or touchpoints across channels.

o Propensity model to forecast the likelihood of customer actions such as purchases, upgrades, or churn.

• Build and operationalize predictive models and apply GenAI techniques for:

o Automated customer service chatbots

o Content generation and personalization

o Synthetic data generation for simulation and testing

• Implement real-time decisioning engines and API-based integrations with advertising platforms (Google Ads, Meta, etc.) for dynamic campaign execution.

• Continuously monitor and tune models and pipelines for optimal performance and data freshness.

• Collaborate with cross-functional teams including marketing, data engineering, product, and analytics

Qualifications:

• Bachelor's or master's degree in computer science, Data Science, Marketing Analytics, or a related field.

• 5+ years of experience in CDP implementation and marketing analytics.

• Strong proficiency in Python, SQL, and ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch).

• Experience with cloud platforms and tools like Azure Data Factory, Databricks, Synapse, Snowflake.

• Hands-on experience with NLP techniques and libraries (e.g., spaCy, NLTK, transformers).

• Experience deploying GenAI applications and understanding of LLM frameworks.

• Familiarity with campaign attribution models, marketing funnels, and retention strategies.

• Excellent analytical, communication, and stakeholder management skills.

Preferred Skills:

• Experience with tools like Hightouch, Segment, mParticle, Treasure Data, Amperity, Simon data, or Salesforce CDP.

• Exposure to MLOps practices and model monitoring pipelines.

• Prior experience in B2C/D2C industries (e.g., retail, travel & hospitality, e-commerce).

Required Qualification:

Bachelor of Engineering - Bachelor of Technology (B.E./B.Tech.)- IT, CS, E&CE, MCA

• With a fast-growing analytics, business intelligence, and automation company

Overview:

The MongoDB / Elasticsearch / Linux Sysadm / Ansible Engineer supports various database and automation in a 24/7 Linux environment.

A good candidate has knowledge that could be gained with one of the following:

2+ years of experience with either MongoDB or Elasticsearch application support, DBA or development

3+ years of experience with other database application support or DBA or development

2+ years of Linux system administration

2+ years of Linux system automation

We will train for required expertise in database application support, Linux system administration and other technologies as needed.

Responsibilities include issue resolution for database application alerts, upgrades, patching, security, data restorals and replication, backups and performance tuning. They also include operating system and network troubleshooting.

In addition to direct customer support, support engineers work with other teams such as DBAs, SREs, account managers and developers as needed.

Daily activities include responding to customer requests (tickets and chats) and monitoring alerts, monitoring the production environment, providing acceptable system performance, and assuring data are protected and recoverable as required.

Support Data Engineer IIs own moderate to complex customer issues which may take multiple days to resolve fully.

This position is for shift 2 and shift 3 in a support engineer team that provides 24/7 operations support for MongoDB, Elasticsearch and other database services in a Linux environment.

Due to the 24x7 operations of the business support engineers must be able to work a flexible work schedule, which will include weekends, holidays, occasional nights and emergency escalations.

Support engineers take part in on-call rotation during regular shift hours.

Important skills and experience

• Excellent troubleshooting skills with ability to resolve issues quickly and effectively
• Experience managing MongoDB, Elasticsearch or other database configurations
• Good understanding of Linux operating system, especially debian and CentOS based distributions
• Ability to work well in teams with good oral, written, and interpersonal skills
• Ability to communicate technical details and ideas and write documentation
• Ability to work independently as part of a remote team
• Useful skills and experience
• Excellent understanding of MongoDB or Elasticsearch database concepts and structures
• Proven experience implementing and supporting enterprise database systems
• Scripting experience with shell scripting or Python
• Configuration management and orchestration experience with Ansible, Puppet or Chef
• Exposure to a broad range of technologies, especially Redis, k8s, Postgresql, Hadoop, and Kafka

Location: Hyderabad (Work from Office – 5 Days)

Experience Required: 5 – 10 Years

Compensation: ₹25,00,000 – ₹6,00,000 per annum

Qualification: B.C.A. / B.Tech. / M.Tech. / MBA in Computer Science, Data Science, or related fields

About the Role

We are seeking a highly skilled CDP & Marketing Analytics Specialist to join our digital transformation team. The ideal candidate will have strong hands-on experience with Customer Data Platforms (CDPs), real-time data pipelines, and AI-driven marketing strategies. You will drive data-driven decision-making and enable hyper-personalized marketing at scale.

Key Responsibilities

• Customer Data Ingestion: Design and implement strategies to unify data from multiple sources (CRM, web, mobile, social, PoS, etc.) into a single CDP.
• Data Pipelines: Build and maintain real-time streaming pipelines using Azure Data Factory, Databricks, Kafka, etc.
• CDP Implementation: Design and deploy composable CDPs leveraging Snowflake, Databricks, and modern data platforms.
• AI/ML Models: Develop and operationalize predictive models for:
• Customer segmentation (behavioral, demographic, predictive)
• CLV (Customer Lifetime Value) estimation
• Churn prediction & retention modeling
• Campaign attribution and ROI analysis
• Sentiment/intent analysis using NLP
• Next Best Action (NBA) models for personalized recommendations
• GenAI Applications: Apply GenAI for:
• Automated chatbots
• Content generation & personalization
• Synthetic data generation for testing
• Real-Time Decisioning: Integrate with ad platforms (Google Ads, Meta, etc.) for dynamic campaign execution.
• Monitoring & Optimization: Continuously tune models, pipelines, and ensure high-quality, real-time data.
• Cross-Functional Collaboration: Work closely with marketing, product, data engineering, and analytics teams.

Qualifications

• 5+ years of hands-on experience in CDP implementation and marketing analytics.
• Strong expertise in at least one CDP tool (e.g., Hightouch, Segment, mParticle, Treasure Data, Amperity, Simon Data, Salesforce CDP).
• Proficiency in Python, SQL, and ML frameworks (scikit-learn, TensorFlow, PyTorch).
• Experience with cloud platforms – Azure Data Factory, Databricks, Synapse, Snowflake.
• Hands-on with NLP libraries (spaCy, NLTK, transformers).
• Familiarity with MLOps and model monitoring pipelines.
• Strong understanding of marketing funnels, attribution models, and retention strategies.
• Excellent communication, analytical, and stakeholder management skills.

Preferred Skills

• Prior experience in B2C / D2C industries (Retail, E-commerce, Travel & Hospitality).
• Exposure to high-scale personalization and customer engagement platforms.

Additional Information

• Work Mode: Onsite – Hyderabad (No Hybrid/Remote)
• Working Days: 5 Days a Week
• Notice Period: Immediate joiners or within 15 days preferred
• Relocation Support: Open for candidates willing to relocate

Job Type: Full-time

Pay: ₹2,5 600,000.00 per year

Job Title:
Customer Data Platform (CDP) & Marketing Analytics Specialist

Location:
Hyderabad

Experience Level:
5+ Years

Employment Type:
Full-time

About the Role:

We are seeking a highly skilled CDP & Marketing Analytics Specialist to join our digital transformation team. The ideal candidate will have hands-on experience with Customer Data Platforms (CDPs) and a deep understanding of customer data ingestion, real-time data pipelines, and AI-driven marketing strategies. You will be responsible for leveraging advanced analytics and machine learning to enable data-driven decision-making and hyper-personalized marketing at scale.

Key Responsibilities:

• Design and implement end-to-end customer data ingestion strategies from diverse sources (CRM, web, mobile, social, PoS, etc.) into a unified CDP.
• Build and maintain real-time streaming data pipelines using tools such as Azure Data Factory, Databricks, Kafka, etc.
• Design and implement composable Customer Data Platforms (CDPs) leveraging modern data platforms such as Snowflake, Databricks, and similar technologies.
• Develop and deploy AI/ML-driven customer segmentation models (behavioral, demographic, predictive — e.g., high CLV, churn-risk clusters).
• Perform advanced analytics, including:
• Customer Lifetime Value (CLV) estimation
• Churn prediction and retention modeling
• Attribution analysis to evaluate campaign ROI
• Sentiment and intent analysis using NLP on social media, chat, and survey data
• Next Best Action (NBA) models to dynamically recommend personalized offers, content, or touchpoints across channels
• Propensity model to forecast the likelihood of customer actions such as purchases, upgrades, or churn
• Build and operationalize predictive models and apply GenAI techniques for:
• Automated customer service chatbots
• Content generation and personalization
• Synthetic data generation for simulation and testing
• Implement real-time decisioning engines and API-based integrations with advertising platforms (Google Ads, Meta, etc.) for dynamic campaign execution.
• Continuously monitor and tune models and pipelines for optimal performance and data freshness.
• Collaborate with cross-functional teams including marketing, data engineering, product, and analytics.

Qualifications:

• Bachelor's or master's degree in computer science, Data Science, Marketing Analytics, or a related field.
• 5+ years of experience in CDP implementation and marketing analytics.
• Strong proficiency in Python, SQL, and ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
• Experience with cloud platforms and tools like Azure Data Factory, Databricks, Synapse, Snowflake.
• Hands-on experience with NLP techniques and libraries (e.g., spaCy, NLTK, transformers).
• Experience deploying GenAI applications and understanding of LLM frameworks.
• Familiarity with campaign attribution models, marketing funnels, and retention strategies.
• Excellent analytical, communication, and stakeholder management skills.

Preferred Skills:

• Experience with tools like Hightouch, Segment, mParticle, Treasure Data, Amperity, Simon Data, or Salesforce CDP.
• Exposure to MLOps practices and model monitoring pipelines.
• Prior experience in B2C/D2C industries (e.g., retail, travel & hospitality, e-commerce).

Role: Customer Data Insights & Application Engineer

Location: Bangalore/ Hyderabad - Hybrid

Key Essential Skills:

• 5+ years of experience in customer data management, analytics, or financial crime systems.
• Experience of implementing data matching, deduplication, and scoring logic to unify customer records.
• Deployment and configuration of customer data analytics platforms and tools.
• Proficiency in SQL, Python, or other data processing languages
• Working knowledge of cloud-based data infrastructure AWS and Azure cloud platforms.
• Hands-on experience with data integration, cleansing, and matching technologies.
• Strong understanding of regulatory frameworks (KYC, AML).
• Excellent communication, stakeholder management, and problem-solving skills.

Desirable Skills:

• Bachelors or Masters degree in Computer Science, Data Analytics, or related field.
• Understanding of data privacy and compliance standards.
• Ability to work in fast-paced, high-stakes environments.
• Works effectively across business, compliance, and IT function

Overview:

We are seeking a detail-oriented and technically proficient Customer Data Insights & Application Engineer to lead the setup, configuration, integration, and optimization of customer data platforms. This role is pivotal in transforming fragmented customer data into actionable intelligence, supporting regulatory compliance, and enabling strategic decision-making across the organization.

Role & Responsibilities:

Application Setup & Deployment

• Assist in the deployment and configuration of customer data analytics platforms and tools.
• Develop and maintain data pipelines for ingestion, cleansing, and enrichment.
• Collaborate with internal stakeholders and external vendors to configure data ingestion, cleansing, and enrichment processes.
• Ensure seamless integration with existing enterprise systems and data warehouses.

Customer Data Engineering

• Implement data matching, deduplication, and scoring logic to unify customer records.
• Maintain high standards of data quality, accuracy, and completeness.
• Support metadata management and data lineage tracking.

Insights & Outcome Management

• Build and optimize workflows to extract meaningful insights from customer data.
• Drive the generation of customer intelligence to support compliance (KYC/AML), risk assessment, and business development.
• Translate data outputs into actionable insights for business units and regulatory reporting.
• Monitor and optimize data pipelines to ensure timely and accurate delivery of insights.
• Present technical outputs in usable formats for business stakeholders.

Operational Excellence

• Manage large-scale data operations involving millions of customer records.
• Ensure platform scalability, performance, and reliability.
• Troubleshoot and resolve data-related issues proactively.

Stakeholder Engagement

• Act as the primary liaison between business, compliance, and technology teams.
• Develop training materials and conduct workshops for platform users.
• Present insights and outcomes to senior leadership and regulatory bodies.

Outline Thebes Group:

Thebes Group is a leading UK wide IT infrastructure technology consultancy. We are well-known for our extensive talent pool of highly competent IT professionals and exclusive Academy programmes, which provide a great opportunity to undertake technical training in core disciplines. Thebes work with a number of leading vendors, Government, financial institutions and insurance companies including investment banks, brokers and hedge funds. To see our list of core capabilities please click here.

Thebes does IT solutions & services differently from most other IT service providers. As an Assured Outcome Provider (AOP) we have spent fifteen years willingly sharing the clients risk with them by focusing on outputs (i.e. quality service & solutions and ROI) rather than inputs (i.e. pricelists and headcount). We do this by fitting our skills, solutions & capabilities to needs, augmenting our staff with enthusiastic professionals from our Academy programme and remaining flexible as our clients' needs change.