Top SQL Developer Jobs in Bengaluru, KA

Seeking a Senior Data Engineer to design and implement data solutions, develop data pipelines, optimize data models, and collaborate with teams for seamless integration and visualization. Mentor junior team members and stay updated with industry best practices.

Collaborate with stakeholders to design, implement, and maintain data pipelines and models using cloud platforms. Ensure data quality, security, and compliance while supporting analytics initiatives. Mentor junior team members in best practices for data architecture and engineering.

Responsible for designing and implementing data delivery pipelines, ETL processes, and infrastructure for financial data warehouse applications. Must have 3-5 years of experience in data manipulation/engineering roles and expertise in Python, SQL, and AWS technologies.

Senior Data Engineer at Nielsen's Marketing Effectiveness business, responsible for building a data platform on AWS, ingesting data from external sources, and performing ETL tasks. Must have experience with large datasets, automation, and cloud security principles.

Key contributor to building, maintaining, and optimizing global BI and Analytics solutions using Azure technologies. Design, develop, deliver, and maintain data pipelines, lead and coach a small team of data engineers, and assist in project delivery for data integrations.

Design, develop, and deploy ETL pipelines, model data using GCP BigQuery, create/enhance data models using SQL, work with SAP HANA and GCP data structures, analyze performance bottlenecks, apply advanced data modeling techniques.

As a Senior Data Engineer at Gojek, you will design, build, and maintain data streaming solutions, troubleshoot data-related issues, collaborate with stakeholders, and stay updated with data streaming technologies. Strong programming skills in Java, real-time streaming experience with Apache Flink, and familiarity with Apache Kafka, Kubernetes, cloud platforms, and NoSQL databases are required. Good communication and problem-solving skills are essential.

The Data Engineer II at Jumio plays a crucial role in enhancing data infrastructure and analytics capabilities by building data transformation pipelines, monitoring data distribution shifts, managing dataset versions, and analyzing system performance. The role contributes to improving machine learning models' accuracy and efficiency in production environments.