Company Description

CentricaSoft is a up-to-date technology partner focused on Gen AI–driven enterprise data transformation. The company helps organizations unlock the full potential of their data through advanced AI/ML solutions, large-scale data modernization, and cloud-native architectures. Its services span business intelligence and analytics, data integration and governance, compliance and risk management, and DevOps operations. By delivering scalable data lake solutions, petabyte-scale processing capabilities, and Talent-as-a-Service (TaaS), CentricaSoft enables enterprises to make smarter decisions, improve operational efficiency, and accelerate innovation.

Role Description
- Should be able to design, build, and maintain scalable data pipelines that support enterprise analytics and AI/ML workloads .
- Responsibilities include implementing and optimizing ETL processes, modeling and organizing data for warehouses and data lakes, and ensuring data quality, reliability, and security across systems.
- Contribute to documentation, automation,



and best practices for data governance and operations.

Qualifications
- Candaite should have 5+ years of IT experience in Data Engineering area.
- Candidate should possess
strong SQL knowledge

with ETL background preferably in
SnapLogic

.
- Candidate should possess strong Data Engineering & Data Modeling skills, including building and maintaining data pipelines and working with distributed data processing frameworks for data warehouses, data lakes, and analytic workloads.
- Candidates should have
acquired atleast one Data Engineering Certificate

either from AWS or GCP or Azure or any reputed center based evaluation methodology organization.
- Candidates should possess Data Analytics skills, including querying data, creating reports or dashboards, and supporting business intelligence needs.
- Experience with cloud platforms (such as AWS, Azure, or GCP) and cloud-native data services is beneficial.
- Knowledge of data governan

📌 Data Engineer (Bengaluru)
🏢 CentricaSoft
📍 Bengaluru