Top Data Engineer Jobs in Bengaluru, KA

As a Data Engineer at SparkCognition, you will be responsible for bringing large volumes of data from renewable energy sites to cloud, architecting scalable data ETL and MLOps pipelines, and working on engineering projects to design and maintain highly scalable data management systems.

Join Zamp, a financial technology company reimagining the future of finance. As a Data Engineer, you will play a key role in shaping the vision for the infrastructure platform, implementing scalable data architectures, and collaborating with various stakeholders. Exciting opportunity to work on large-scale data platforms and products.

Design and build mission critical data pipelines, support analytical needs of the business, automate end-to-end data pipeline, optimize data pipeline for ML workloads, collaborate with analysts and business stakeholders, and provide technical leadership in data engineering.

Seeking a highly motivated data engineer to join the analytics and information management (AIM) team of Pratt and Whitney. Responsibilities include designing, building big data pipelines, implementing batch and streaming architectures, and practicing disciplined software engineering. Requires expertise in Databricks, AWS Cloud services, and 5+ years of data engineering experience.

Develop, monitor, and maintain data pipelines across Automotive Electronics clusters. Create and optimize data pipeline architecture, automate processes, and resolve incidents. Collaborate with stakeholders and demonstrate strong problem-solving skills and software engineering expertise.

Principal Data Engineer role at GSK focused on building a data engineering capability to ensure high-quality data captured with context and aligned data models. Responsibilities include using Azure cloud services and GSK data platform tools to ingest, egress, and transform data from multiple sources. Key activities involve leading devops and data platform practices, conducting PoCs of new technologies, and ensuring technical delivery compliance with GSK standards.

The Data Engineer will collaborate with technical teams to develop data pipelines, support data applications, profile data sources, and improve data integrations using modern cloud and big data architectures. Minimum qualifications include 3+ years of experience in data warehouse design, proficiency in SQL, data modeling, Python, and ELT tools like Matillion and Fivetran. Preferred qualifications include experience with CI/CD process and advanced Snowflake.

The Data Engineer at Komodo Health is responsible for technical aspects and collaborating with various teams to understand and articulate technical requirements. The role involves building relationships, providing technical design guidance, and making strategic decisions to address solution design needs.

Design, develop, and maintain big data platform using Scala, Spark, and other technologies within the Hadoop ecosystem. Strong foundation in data engineering and streaming data architectures required.

Design and develop data delivery on Sony Music Publishing's data warehouse on AWS. Responsible for data architecture, data modeling, data ingestion, creating ETL scripts, and working in Agile/Scrum teams. Collaborate with product owners and developers to design and develop ETL processes, automate and optimize processes, problem solve, and communicate with technical and business teams. Knowledge of AWS technologies and experience in data warehousing and big data required.

Atlassian is looking for a Senior Data Engineer to join their Go-To Market Data Engineering team, responsible for building and maintaining data pipelines, data lakes, and processing large volumes of data. The role involves working on data modeling, microservices, and self-serve data engineering solutions at scale. The ideal candidate is a structured thinker with strong technical experience and a passion for building scalable services.

Seeking an enthusiastic Entry-Level Data Engineer with a focus on AI to assist in designing, building, and maintaining data infrastructure that supports artificial intelligence and machine learning initiatives. Responsibilities include data pipeline development, data integration, AI & ML support, data monitoring, and troubleshooting. Preferred skills include practical knowledge of programming languages, SQL, AI frameworks, big data technologies, cloud platforms, data modeling, and strong analytical skills.

Data Engineer responsible for maintaining and supporting Oracle Hyperion's EPM suite. Collaborates with functional teams to gather requirements, analyze, and provide technical solutions. Conducts unit testing, prepares technical documentation, and ensures timely task completion. Strong understanding of financial data and business processes is essential.

The Data Engineer will be responsible for developing and optimizing data pipelines and architectures using Azure, ADF, PySpark, Scala, and other technologies. They will work on ETL processes, ML models, streaming data, big data tools, and more to support business analytics and decision-making. Strong knowledge of Azure services and data tools is required.

Seeking a Senior Battery Data Engineer to develop, implement, and optimize data pipelines and architectures for battery performance and health data analysis. Provide technical leadership, collaborate with cross-functional teams, and support data-driven decision-making for battery intelligence solutions.

Lead efforts in leveraging data value, building and scaling data pipelines, implementing DataOps methodologies, writing and optimizing queries, and supporting pipelines at Skypoint. Requires strong backend programming skills, experience with Spark (Scala or Python), and a blend of Databricks-related technologies.

As a Data Engineer at Kyndryl, you'll be at the forefront of the data revolution, crafting and shaping data platforms that power our organization's success. Your role involves engineering the backbone of data infrastructure, ensuring the availability of refined data sets, and transforming raw data into actionable insights for strategic decision-making and innovation.