Top Data Engineer Jobs in Chennai

As a Data Engineering Intern, you will design and develop data pipelines, integrate data sources, and maintain data workflows while collaborating with senior engineers.

Lead implementation of Salesforce Data Cloud and manage data integration across systems, ensuring compliance and optimizing data pipelines.

As a Staff Engineer, you will build scalable data systems, manage data infrastructure, and enhance security insights through analytics and collaboration with teams.

The Senior Data Engineer will design and optimize cloud-native data infrastructures, develop data pipelines for AI applications, and mentor team members.

The Backend Engineer will build APIs, integrate with third-party systems, and develop financial products while maintaining scalable data architectures, focusing on backend software and technologies.

Responsible for guiding teams in utilizing technology effectively, mentoring colleagues and devising advanced solutions to meet client challenges.

As a Senior Engineer in Data Analytics, you'll work on challenging problems using cutting-edge technology alongside talented colleagues to drive innovative solutions.

The Principal Engineer, Data Science role involves leading data science projects and providing strategic insights using extensive IT experience.

The Senior Staff Engineer, Data Science role involves guiding team direction, solving complex challenges for clients, and leveraging technical expertise to innovate solutions.

Design, develop, and maintain AWS-based data pipelines, ensuring data quality and governance. Collaborate with data scientists for analytics and AI/ML projects.

Design and execute automated testing processes for data pipelines using Azure Databricks and Azure Data Factory, focusing on ETL validation and quality assurance while collaborating with development teams.

The Data Lake Engineer will develop and support BI applications, manage AWS data platforms, and perform data analysis and cleansing.

The Senior DevOps Engineer will build and maintain backend infrastructure for AI data pipelines, support model training and production, and develop monitoring systems.

The Lead Data Engineer will design, develop, and maintain data pipelines and data warehouse infrastructure, ensuring data accuracy and collaboration with data teams.

Join Miratech as a Junior Python Engineer to develop applications and data pipelines with SQL expertise, focusing on AI and ML solutions.

Lead the design and implementation of scalable data engineering solutions on Azure, optimizing performance and mentoring teams. Ensure data quality and security while delivering analytics-ready datasets through collaboration.

The Senior Data Engineer will design and develop ETL pipelines and data products for financial systems, ensuring data quality and collaboration with finance stakeholders.

The Senior Power BI Engineer will design BI solutions, lead migrations from Tableau to Power BI, optimize data modeling and collaborate with teams to create impactful dashboards.

Design and maintain SQL-based solutions, optimize ETL workflows using SSIS, and translate business requirements into SQL queries.

The role involves building a centralized data lake on GCP, developing SPARK-powered data pipelines, ensuring data quality, and collaborating with cross-functional teams for advanced analytics and data models.

The Data Engineer will design and maintain data pipelines, support APIs, ensure data quality, and collaborate with teams on data-driven solutions.

Responsible for designing and developing integration processes and custom data solutions using various integration tools and cloud platforms while collaborating with cross-functional teams.

As a Sr. Big Data Engineer, you will tackle customer big data challenges using Databricks, guide strategic projects, and support client system integrations.

As a Data Engineer, you'll build and monitor large-scale data pipelines, develop the DBT setup for data transformation and solve customer problems using your SQL skills.

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