Top Data Engineer Jobs in Bengaluru, KA
Atlassian is hiring a Principle Data Engineer to enable a world-class engineering practice, drive data approaches, develop backend systems, and build a data-driven culture. Responsibilities include designing data models, building scalable data pipelines, and working with various data platforms and tools.
As a data engineer at Atlassian, you will build highly reliable data products, work in an agile environment, and solve challenging problems. Responsibilities include building data pipelines, micro-services, and promoting self-serve data engineering within the company.
The Business Technology Solutions Associate - Data Engineer at ZS will be responsible for working with big data technologies, particularly in Azure Databricks, data engineering tasks, SQL optimization, ETL processes, data integration, Python scripting, version control, and Snowflake data warehouse management. Knowledge of security practices and compliance in Azure and Snowflake environments is required.
The Principal Data Engineer at Takeda will provide leadership and technical expertise in the analysis, design, and delivery of large data sets across different domains. Responsibilities include managing technical analysis, designing data architectures, creating future state roadmaps, guiding decision-making processes, leading a team of data engineers, and demonstrating advanced tooling and techniques to support Life Science research data initiatives.
The Data Engineer at Takeda will work on building and maintaining data pipelines and platforms for structured and unstructured data as part of a transformational data program. Responsibilities include developing and executing complex data structures, ingesting data from various sources, managing data quality, and utilizing data science techniques for insight derivation.
Design, develop, and maintain scalable data pipelines, collaborate with analytics and business teams, research data acquisition opportunities, and provide technical consulting for data projects.
Magna IT is seeking a Data Engineer to build and orchestrate data pipelines, integrating business systems for EAI and BI use cases. Responsibilities include ETL pipeline building, database modeling, API service design, and data quality management. The ideal candidate has experience with relational databases, cloud ecosystems, and agile methodologies.
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Join Skillz as a Data Engineer and be part of revolutionizing the gaming industry by creating competitive mobile games. Benefit from a culture of impact, comprehensive benefits, wellness support, and various perks. Skillz is a talent magnet, offering the opportunity to work with experts from top tech companies.
Featured Jobs
Looking for a Sr. Data Engineer proficient in SQL, Python, Snowflake, and Data Modelling to work with different business functions supporting reporting and ad hoc requests. Will collaborate with cross-functional teams, ensure data quality, and optimize data pipelines for performance.
As a Data Engineer at JioCinema, you will be responsible for building data pipelines, transformation services, and scalable data systems. You will work on improving existing systems, collaborating with cross-functional teams, and staying updated on the latest technology trends.
As a Data Engineer 3 on our Marketing Technology Platform at PayPal, you will design and develop backend data pipelines using GCP and Python programming. Responsibilities include coding, testing, ensuring security measures, and overseeing production releases for Data Pipelines within the MarTech platform.
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.
The SSDE I - Data Engineer at JioCinema is responsible for building data pipelines, creating master data, ensuring data availability, and setting up scalable event collection systems. They will work on improving existing systems, collaborate with cross-functional teams, and drive team productivity. Ideal candidates should have 4-7 years of Data Engineering experience and proficiency in programming languages like Java, Go, Scala, and Python as well as key technologies like BigQuery, Kafka, and Google Cloud Platform.
Senior data engineers at Thoughtworks are responsible for developing and operating modern data architecture approaches, building intricate data processing pipelines, collaborating with data scientists, and ensuring data quality and governance. They work on the latest big data tools and platforms and focus on solving complex business problems through data-driven approaches.
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.
As a Senior Data Engineer at Gojek, you will design, build, and maintain data streaming solutions, troubleshoot data-related issues, collaborate with stakeholders, and stay updated with data streaming technologies. Strong programming skills in Java, real-time streaming experience with Apache Flink, and familiarity with Apache Kafka, Kubernetes, cloud platforms, and NoSQL databases are required. Good communication and problem-solving skills are essential.
Seeking a highly skilled Data Engineer to collaborate with Data Scientists in developing and deploying machine learning models. Responsibilities include designing machine learning pipelines, utilizing PySpark for data processing, and optimizing pipelines for performance and scalability.
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.
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.
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.
As a Senior Data Engineer for our Workforce Analytics team at Kyndryl, you will lead platform integration, data pipeline development, optimization model building, data management, collaboration with stakeholders, and automation efforts.
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.
Join Maersk's Global data analytics team as a Data Engineer to drive digital transformation and work on high-impact projects with a focus on data technologies and platforms.
Looking for a Data Engineer with 7-10 years of experience in SAP ecosystem to work on SAP HANA and Snowflake projects. Responsibilities include data modeling, ETL, BI tools implementation, system landscape support, and data security. Must have strong programming skills in SQL, ABAP, and experience with SAP BW/4HANA. Preferred qualifications include knowledge of Python and experience with cloud platforms.
As a Data Engineer Lead, you'll develop and deploy digital twin solutions, manage data pipelines, and collaborate across teams to integrate customer requirements into technical designs. Your role will also include mentoring team members and staying updated with advancements in technology.
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