Qureos

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Senior Data Integration Engineer

India

Job Title: Senior Data Integration Engineer
Location: Bangalore (Hybrid)
Experience Required: 12–18 Years
Notice Period: 15 Days

About the Role

We are seeking an experienced Senior Data Integration Engineer to lead and manage large-scale data integration initiatives across multiple cloud platforms. The ideal candidate will have strong expertise in designing and implementing modern data pipelines, integrating heterogeneous data sources, and enabling scalable data storage solutions. This role requires deep knowledge of Azure, AWS, GCP, cloud storage systems, and Apache Iceberg.

Key Responsibilities

Design, build, and manage data integration solutions across hybrid and multi-cloud environments.

Develop and optimize data pipelines to ensure scalability, performance, and reliability.

Implement and manage cloud storage solutions such as Cloud Object Store.

Leverage Apache Iceberg for scalable data lakehouse implementations.

Collaborate with data architects, analysts, and engineering teams to ensure seamless integration of structured and unstructured data sources.

Ensure data security, governance, and compliance across platforms.

Provide technical leadership, mentoring, and guidance to junior engineers.

Stay updated with emerging trends in data engineering, cloud technologies, and data integration frameworks.

Required Skills & Qualifications

12–18 years of strong experience in data engineering and integration.

Hands-on expertise with Azure, AWS, and GCP cloud platforms.

Proficiency in cloud storage technologies such as Cloud Object Store.

Deep experience with Apache Iceberg for modern data lake and lakehouse implementations.

Strong knowledge of ETL/ELT pipelines, data ingestion, and transformation frameworks.

Proven track record in designing and deploying large-scale, enterprise-grade data integration solutions.

Excellent problem-solving, analytical, and troubleshooting skills.

Strong communication and leadership abilities, with experience in mentoring teams.

Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.

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