On-Premise Data Engineer

Role & responsibilities

Job Title: On-Premise Data Engineer Job Summary: We are looking for a skilled On-Premise Data Engineer to join our team. The ideal candidate will have experience in designing, developing, and maintaining scalable data pipelines, data lakes, and databases on on-premise infrastructure. You will work closely with data scientists, analysts, and other stakeholders to ensure efficient data processing and availability across the organization. Key Responsibilities: Data Infrastructure Design and Management: Design, build, and maintain on-premise data pipelines, ETL processes, and data integration frameworks. Set up and manage on-premise databases, data warehouses, and data lakes. Ensure optimal performance of data architecture by maintaining high data throughput, low-latency, and reliable data delivery. Data Integration and ETL: Develop and maintain ETL (Extract, Transform, Load) processes to ingest data from multiple sources into on-premise systems. Perform data integration tasks and synchronize data from various sources like relational databases, flat files, APIs, and other enterprise systems. Automate and optimize ETL pipelines to process large volumes of structured and unstructured data. Data Quality and Governance: Implement data quality checks to ensure accuracy, integrity, and consistency of the data. Ensure adherence to data governance policies and standards, including data security and access control.

Preferred candidate profile

Exp : 4 - 6 years

Location : Bangalore

Immediate joiner 15 days