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 governance, security, and complia

📌 Data Engineer (Bengaluru)
🏢 CentricaSoft
📍 Bengaluru