Top Data Engineer Jobs in Bangalore

Lead BI projects by designing and optimizing dashboards in Power BI, automating workflows with Power Apps, and mentoring junior specialists while collaborating with stakeholders.

Lead data engineering solutions for supply chain analytics, develop robust data pipelines, implement ETL processes, and collaborate on data projects.

The AWS Data Engineer will design and implement scalable data engineering solutions on AWS, build data pipelines, and ensure data governance and security, while collaborating with cross-functional teams.

The Data Automation Test Engineer will validate data migration and ETL processes while developing a QA framework, automation scripts, and collaborating with cross-functional teams.

As a Data Engineer, you will implement data pipelines and analytics to support decision-making using AWS technologies and Machine Learning.

Design and maintain scalable data pipelines, build models, and turn datasets into insights, collaborating with teams to influence business decisions.

This role focuses on developing reports using IBM Cognos Analytics, SQL, and working with business users to refine report specifications and troubleshoot issues.

The Senior Data Analytics Engineer will develop analytical tools, collaborate with manufacturing engineers, and ensure data-driven decision-making to enhance quality and yield.

As a Data Engineer I, you'll build modular tools for the Consumer Product & Innovation team, focusing on data engineering and software development to support Nike's objectives.

As a Data Engineer I, you will design and develop data pipelines, optimize SQL queries, ensure data integrity, and collaborate with stakeholders to deliver data solutions.

The Lead Analytics Engineer designs data models, mentors teams, and enhances data accessibility while driving insights and analytics initiatives.

The Senior Engineer will lead Data Engineering projects, optimize data pipelines, ensure data accuracy, and develop analytics processes for business insights.

Design, develop, and maintain integration solutions ensuring data accuracy and security, while leading junior engineers and optimizing processes.

Lead complex data engineering projects, developing advanced data architectures and pipelines, while collaborating with leadership to drive data-driven business growth and ensure compliance with regulations.

The Data Engineer designs, develops, and maintains data pipelines and infrastructure, ensuring data accuracy and accessibility while collaborating with data teams.

The Staff Data Engineer will lead data engineering efforts, designing and optimizing complex data solutions using various technologies while collaborating with cross-functional teams.

The role involves designing, developing, and maintaining large scale data engineering solutions while collaborating with stakeholders on data governance and analytics.

The Senior Data Engineer will design and optimize data pipelines using Databricks and Apache Spark, ensuring data quality and security while collaborating with teams to deploy ML models.

The Data Solutions Engineer II drives customer data integration implementations, manages database schemas, configures ETL tools, and collaborates with cross-functional teams for project success.

The Senior Data Engineer will design and maintain data pipelines, integrate data sources, ensure data quality, and implement governance policies while collaborating with various teams for analytics and reporting needs.

The Data and Analytics Developer will transform data into insights, develop and maintain BI and ETL solutions, and offer technical support while adhering to DevOps practices.

The role involves developing BI and ETL solutions, data modeling, and integration using tools like Qlik, Tableau, and Azure services. Responsibilities include managing data quality, troubleshooting, and collaborating on data-driven projects.

As a Data and Analytics Developer, you'll transform raw data into insights, develop BI and ETL solutions, ensure data accuracy, and support users. You'll also stay updated on data engineering trends.

As a Data and Analytics Developer, you'll transform raw data into insights, develop BI solutions, and maintain data accuracy while collaborating with stakeholders.

Developer specializing in BI and ETL technologies responsible for designing and optimizing data solutions, collaborating with users, and leveraging BI tools for data-driven decision making.