Position Description – Data Engineer

Office Location

Remote (India– workday overlap required until 3:00 PM EST)**) Job Summary: We’re looking for a Data Engineer with 3+ years of hands-on experience in building, optimizing, and maintaining large-scale data pipelines and infrastructure. You’ll collaborate closely with our U.S.-based team, so regular overlap with Eastern Time (EST) hours — up to 3:00 PM EST is required. This role focuses on supporting scalable data architectures and ensuring reliability, performance, and automation across our cloud ecosystem.

Responsibilities The Company is looking for a skilled Data Engineer to join our growing team of analytics experts. As a Data Engineer, you will help design, build, maintain, and troubleshoot data processing systems, with an emphasis on reliability, scalability, and efficiency. You will also contribute to optimizing our company’s data architecture to support our next generation of products and initiatives.

● Contribute to end-to-end data analytics solutions (from data ingestion through visualization) for large-scale, complex data ecosystems.

● Assist in designing and maintaining data pipelines and architectures in the cloud.

● Build and support analytics tools that provide actionable insights into customer acquisition, operational efficiency,



and other key performance metrics.

● Identify opportunities for process improvements: automating manual processes, optimizing data delivery, and supporting scalable infrastructure.

● Model business processes for analysis and optimization.

● Take ownership of individual projects, communicate progress effectively, and showcase key accomplishments.

● Strive for continued learning opportunities to grow technical skills and business context.

Minimum Requirements

● 3+ years of hands-on experience in building and optimizing data solutions.

● Proficiency in Python, PySpark and SQL for data manipulation and analysis.

Experience with data pipeline development (ETL/ELT) and workflow orchestration.

● Working knowledge of Spark (or another distributed processing framework).

● Familiarity with cloud platforms (e.g., AWS, Google Cloud Platform).

● Basic understanding of data modeling, transformation, and performance optimization.

● Solid problem-solving and ability to collaborate effectively in cross-functional teams.

Preferred Qualifications

● Hands-on experience with Databricks platform.

● Experience in Ad Tech, or Media industries.

● Familiarity with integrating BI tools (e.g., Looker, Tableau).

📌 Data Engineer (India)
🏢 EOA Talent Bridge
📍 India