: Data Engineer (Palantir, Databricks, GCP & Azure)

Position: Data Engineer

Experience: 5-6+ Years

Location: [Location] / Hybrid / Remote

Industry Preference: Media & Advertising (Mandatory)

About the Role

We are looking for an experienced Data Engineer with strong expertise in Palantir Foundry, Databricks, GCP, and Azure to design, build, and optimize large-scale data platforms and pipelines. The ideal candidate should have hands-on experience in the Media & Advertising domain, with a deep understanding of audience data, campaign analytics, ad-tech ecosystems, and data-driven decision-making.

Key Responsibilities

- Design, develop, and maintain scalable data pipelines using Palantir Foundry and Databricks.
- Build and optimize ETL/ELT processes for ingesting, transforming, and integrating large volumes of structured and unstructured data.
- Develop and manage cloud-native data solutions on Google Cloud Platform (GCP) and Microsoft Azure.
- Work closely with business stakeholders, analytics teams, and product owners to support reporting and advanced analytics initiatives.
- Implement data quality, governance, security, and monitoring frameworks.
- Optimize data models and processing workflows for performance, reliability, and scalability.
- Support data integration across advertising platforms, media measurement tools, CRM systems, and customer data platforms (CDPs).
- Collaborate with cross-functional teams in Agile environments.

Required Skills & Experience

- 5-6+ years of experience in Data Engineering.
- Strong hands-on experience with Palantir Foundry (Mandatory).
- Extensive experience with Databricks,



including Delta Lake, Spark, and workflow orchestration.
- Strong cloud experience on both GCP and Azure.
- Proficiency in Python, PySpark, SQL, and data engineering best practices.
- Experience building data lakes, data warehouses, and up-to-date analytics platforms.
- Knowledge of CI/CD, Git, DataOps, and cloud-native deployment practices.
- Strong understanding of data modeling, performance tuning, and data governance.

Domain Experience (Mandatory)
- Proven experience in the

Media & Advertising industry.

- Understanding of AdTech and MarTech ecosystems.

- Experience working with

- Campaign performance data

- Audience segmentation and targeting

- Digital advertising platforms

- Media measurement and attribution

- Customer analytics and reporting

Preferred Qualifications

- Experience with BigQuery, Azure Data Factory, Azure Synapse, and Azure Data Lake.
- Knowledge of real-time data processing and streaming technologies.
- Exposure to machine learning data pipelines is a plus.
- Strong communication and stakeholder management skills.

What We're Looking For
- Self-driven and proactive problem solver.
- Ability to work in a fast-paced, client-facing environment.
- Strong analytical and troubleshooting skills.
- Passion for building scalable and reliable data solutions.

Mandatory Requirements: 5-6+ years Data Engineering experience

Palantir Foundry expertise

Databricks expertise

GCP & Azure experience

Media & Advertising domain experience

Python, PySpark & SQL expertise

Note : Interested professional can share their resume to [email protected]

📌 Data Engineer (Palantir, Databricks, GCP & Azure) (Bengaluru)
🏢 ACI Global Business Services
📍 Bengaluru