Top Data Engineer Jobs in Bengaluru

The Senior Data Engineer will define technical requirements and conduct high-level designs for complex data engineering solutions. The role involves leveraging expertise in Hadoop, Cloud Big Data components, and various data processing technologies such as Spark, SQL, and Kafka to deliver innovative solutions.

As a Senior Data Engineer, you will contribute to projects that reshape data analytics, designing data schemas, optimizing SQL queries, and maintaining robust data infrastructure for processing large datasets. You will also mentor team members and ensure data quality through effective monitoring and automation of processes.

As a Data Engineer III at Zuora, you will leverage AI technologies to optimize monetization across Zuora’s products. The role requires building end-to-end machine learning models, collaborating with various teams to identify customer pain points and transform data into actionable insights while delivering business value.

The Sr Data Engineer will develop and optimize data pipelines, ensuring efficient data delivery and performance. This role focuses on building infrastructure for data processing, collaborating with teams to implement analytic product features, and providing lifecycle support for data services.

The Data Engineer will implement and maintain data standards across laboratory services, focusing on data management, data processing, and quality control pipelines for biomarker data. Responsibilities include writing source code for data delivery, executing QC processes, collaborating with teams, and validating source code.

The Lead Data Engineer oversees a team of data engineers in ensuring the implementation and maintenance of data standards for Precision for Medicine’s laboratory services. Responsibilities include leading projects, developing biomarker data management code, executing data processing pipelines, and collaborating with various stakeholders to guarantee high-quality data delivery.

The Staff Data Engineer will design, develop, and maintain data platforms, solve complex business problems with technical solutions, contribute to architectural decisions, mentor junior engineers, and collaborate with cross-functional teams to create scalable software solutions.

As a Senior Data Engineer, you will design, develop, and maintain business applications and information systems. You will lead cross-functional teams, analyze complex business requirements, and provide mentorship to other developers while ensuring compliance with technology standards.

As a Senior Data Engineer at Aryng, you will develop scalable data engineering solutions on cloud platforms (GCP, AWS, Azure). Responsibilities include implementing data ingestion and processing pipelines, managing data engineering solutions, and collaborating with data scientists and business analysts to deliver effective client solutions. You should possess strong problem-solving skills and have a background in consulting.

As a Lead Data Engineer at Cencora, you'll manage Microsoft Azure environments, design and develop scalable solutions, oversee cloud-based infrastructure, and lead a team of engineers. Your expertise will be critical in migrating services to the cloud, implementing IaC, and ensuring security and efficiency. Collaboration with IT teams to enhance operations is also key in this innovative role.

The Lead Data Engineer will guide a team of data engineers in creating and optimizing data processes for a large consumer data lake. Responsibilities include designing data pipelines, ensuring data quality, collaborating with cross-functional teams, and implementing data engineering best practices.

The Senior Data Engineer will lead efforts in building robust data pipelines for processing large datasets and delivering insights. Responsibilities include collaborating with cross-functional teams, mentoring junior engineers, and advocating for best practices in software design. The role aims to connect technology with business outcomes while resolving complex issues in data engineering.

As a Big Data Developer, you will design, develop, and maintain big data solutions, working with structured and unstructured data using technologies like Hadoop and Spark. Responsibilities include optimizing ETL processes, implementing data models, collaborating with stakeholders, and ensuring data integrity and security.

As a Lead Data Engineer, you will oversee software engineering functions, design and develop solutions for improving business operations, and lead a team in the full software development life cycle. Responsibilities include creating technical specifications, consulting on project requirements, and implementing data integration solutions while ensuring compliance with security and business standards.

The Sr Data Engineer will be responsible for data munging, data analytics, building data transformation pipelines, and working with stakeholders to optimize data systems. The role also includes project management, stakeholder management, and gathering knowledge about the maritime industry and its relation to financial markets and shipping industry.

The Data Engineer will design, develop, and maintain SQL data warehouses, optimize stored procedures, build reports using SSRS, create dynamic dashboards with Superset, and manage data pipelines via Airflow for data integration and automation.

The Senior Data Engineer will work with the CDAO to build robust data processing frameworks for the Commonwealth Bank, focusing on AWS and building scalable, automated data pipelines. Responsibilities include mentoring junior engineers and collaborating with technology leads to tackle complex data challenges.