Top Data Engineer Jobs in Bangalore

Lead the modeling of the Customer Data Platform, defining event taxonomy and ensuring reliable datasets for analytics, product insights, and machine learning. Collaborate with various teams to maintain data consistency and shape the architecture of the behavioral data platform.

The Senior Data Engineer will design and maintain pipelines for event data ingestion and validation, ensuring operational reliability and consistency for analytics.

The Data Migration Engineer executes technical builds and validations of data migration pipelines, ensuring accurate SQL processes and data integrity for client data migrations.

Lead the design and development of data pipelines for structured and unstructured data in Azure using services like Synapse and Data Factory. Collaborate with business stakeholders and ensure data modeling and ETL fundamentals are implemented effectively.

Design, build, and maintain scalable data lakes, warehouses, and ETL/MLOps pipelines using Python, SQL, cloud, Kafka, Spark, and Docker. Implement CI/CD and monitoring, enforce data quality, mentor data teams, and collaborate on data architecture for industrial AI SaaS. Onsite role with a coding/design challenge required.

As a Senior Data Analytics Developer, you will lead the design and automation of audit analytics, implement scalable solutions, and support global audit teams through data insights and interactive dashboards.

This role involves designing and building scalable data pipelines, integrating data sources, enhancing data quality, and collaborating with cross-functional teams.

Provide technical leadership designing, building, and operating large-scale batch and real-time data platforms. Build reliable data pipelines, optimize data models, ensure data quality and governance, collaborate cross-functionally, mentor engineers, and advance third-party integrations and long-term data strategies.

The Lead Data Engineer will oversee data engineering projects, develop data pipelines using Snowflake, DBT, and Apache Airflow, and communicate with stakeholders to drive data-driven insights and strategies.

Design, build, and configure Snowflake integration, drive client discussions, manage project deliverables, and integrate data from SAP to Kinaxis.

The Data Management Engineer oversees big data analytics, supports applications/tools, manages AWS infrastructure, and integrates AI optimization. The role requires strong data governance and technical skills.

The Data Management Engineer manages and optimizes the big data analytics environment, ensuring performance, reliability, and overseeing tools for the Analytics team. Responsibilities include support for AWS EC2 and AI integration.

The Senior Data Analyst will develop and maintain Power BI dashboards, perform advanced analytics on healthcare data, and translate insights for stakeholders, requiring strong BI development skills.

This role focuses on BI development, dashboard creation, and analytics using healthcare data to provide insights and decision support.

The Senior Data Engineer will design and maintain data pipelines, optimize ETL processes, and ensure data quality, using various technologies in an Agile environment.

As a Senior Data Engineer, you will design and implement scalable ETL/ELT frameworks, lead data engineering projects, and mentor a team while ensuring operational stability of data pipelines.

Lead the technical vision for the Data organization by overseeing data engineering responsibilities, managing teams, building ETL pipelines, and mentoring engineers.

The Lead Data Engineer will design and build scalable data pipelines on Databricks, develop ETL/ELT pipelines with PySpark, and mentor engineering teams for data transformation and analytics.

Design and develop scalable data pipelines using PySpark and Databricks, focusing on data ingestion, transformation, validation, and performance optimization.

The role involves analyzing customer behavior using Adobe Analytics, building data models with SQL and Databricks, and creating dashboards in Power BI, while collaborating with data engineers and ensuring quality reporting.

Lead a team of Data Engineers to modernize cloud infrastructure, migrate data to Google BigQuery, and develop scalable ETL pipelines.

The Data Operations Analyst ensures smooth implementation and delivery of data to portfolio managers by supporting data pipelines, validation, cleaning, and documentation. Requires technical expertise in support roles and specific tools.

The Senior Lead Data Engineer is responsible for working with Azure data services, ETL pipelines, and cloud data architecture, particularly in financial services and digital banking environments, while also implementing CI/CD pipelines and automation practices.

The Senior Data Engineer will design and build data pipelines on Azure Databricks, ensuring data security and governance while collaborating with clients and vendors on projects.

As a Senior Data Engineer at Roku, you will design scalable data models, develop data pipelines, and optimize existing datasets to enhance business metrics and support a big data platform.