Role Overview

We are seeking two offshore Data Engineers to support ongoing enterprise data engineering and advanced analytics initiatives. These roles will function as long-term, steady-state support resources, contributing to data platform operations, ETL development, and emerging AI-enabled analytics use cases.

The ideal candidates will bring strong foundational data engineering expertise while being comfortable working in a up-to-date analytics ecosystem that includes advanced tooling for data exploration and productivity acceleration.

Key Responsibilities

Design, develop, and maintain ETL/ELT pipelines to support enterprise data processing and analytics

Perform data ingestion, transformation, and integration across multiple datasets and domains

Support data engineering operations for ongoing analytics and reporting workflows

Collaborate with business and analytics teams to:

Explore datasets

Enable investigative analysis (e.g., fraud, waste, and abuse use cases)

Work with modern data tools to accelerate analysis and data discovery,



while ensuring outputs are validated for accuracy

Ensure data quality, reliability, and performance of pipelines and datasets

Participate in continuous enhancement of data models and workflows

Support production and non-production environments as part of an ongoing support

Required Skills & Experience

Core Data Engineering

Strong experience in data engineering and ETL/ELT development

Proficiency in:

SQL (advanced querying, optimization)

Data transformation frameworks

Experience working with large-scale datasets in enterprise environments

Platform & Tools (Representative)

Experience with modern data platforms such as:

Snowflake / cloud data warehouses

Distributed data processing frameworks

Familiarity with data pipeline orchestration tools

Analytics & Data Exploration

Ability to support data analysis and investigative workflows

Exposure to tools that enhance productivity in data analysis (e.g., code-assisted or

📌 Data Engineer (India)
🏢 WebSenor InfoTech
📍 India