Top Data Engineer Jobs in Bengaluru, KA
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.
Work as a Data Engineer for the Data Engineering team at CrowdStrike, designing and building services for machine learning products, building automation tools, maintaining data systems, and collaborating with different teams to contribute to machine learning data.
Principle Data Engineer role at Atlassian with 12+ years of experience as an individual contributor in Data Engineering, tech lead experience, expertise in building streaming pipelines, working with varied data infrastructure, and driving complex data efforts.
Manager, Data Engineer with 6 years of experience leading a data engineering team, defining and delivering data infrastructure projects, building streaming pipelines at scale, and working with various data technologies such as AWS, Snowflake, and Databricks. Must have strong problem-solving skills, communication abilities, and proficiency in Python and SQL.
Lead Data Engineer role in Asset and Wealth Management team focusing on AIML solutions. Responsible for data modeling, data platform solutions, database management, and guiding developers through MDLC. Requires BSc/MSc in Computer Science, 7 years of experience, and proficiency in relational and NoSQL databases, linear algebra, statistics, and geometrical algorithms.
Responsible for designing, building, and maintaining data pipelines and infrastructure on Microsoft Azure. Extract, transform, and load data from various sources including databases, APIs, and flat files. Stay up to date with the latest advancements in Azure data technologies and best practices.
As a Senior Data Engineer at Motive, you will be responsible for building data pipelines, designing data models, and working with multiple teams to deploy robust data operations. The role requires 6+ years of experience in Data Engineering and strong skills in SQL, Python, and modern data engineering technologies.
This position is for a Data Engineer focusing on developing software solutions that leverage data to solve business problems. Responsibilities include delivering high-quality products, scoping effort, participating in continuous integration activities, and performing tasks related to data governance and system infrastructure. The position is a hybrid role with 2-3 set days in the office per week.
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As a Data Engineer II at MiQ in Bengaluru, you will be responsible for developing and maintaining back-end data warehouse systems using various technologies. Key responsibilities include collaborating with stakeholders, designing database solutions, and driving the adoption of best practices for high-performance systems.
Looking for a Senior Data Engineer to join the Data Engineering team at CrowdStrike, responsible for building pipelines, infrastructure, and automation for data scientists. Requires strong programming skills in Golang, experience with large data volumes, distributed system design, CI/CD best practices, and Docker/Kubernetes development.
Design, develop, and maintain scalable data pipelines, collaborate with analytics and business teams, research data acquisition opportunities, and provide technical consulting for data projects.
Senior data engineers at Thoughtworks develop and operate modern data architecture approaches, build intricate data processing pipelines, collaborate with data scientists, write clean code, and work on data governance and quality. They are involved in enabling credible and collaborative problem-solving to execute on a strategy.
Join HiLabs as a Data Engineer to design, develop, and maintain ETL/ELT pipelines, optimize databases, collaborate with teams, automate tasks, and ensure data accuracy. Bachelor's or Master's degree in Computer Science with 3-5 years of hands-on experience required.
The Senior Data Engineer at Takeda will lead the development and execution of complex data structures and pipelines to organize and standardize data for generating insights. This role involves interpreting advanced techniques to ingest structured and unstructured data, as well as building technical solutions for data ingestion, transformation, and loading from various sources.
Seeking a Data Engineer with 4+ years of experience in building and supporting scalable, distributed systems using Java, Scala, and scripting languages. Must have familiarity with modern build tools, Agile development methodologies, and big data pipelines.
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The Senior Data Engineer I at Pax8 designs, develops, tests, deploys, and maintains systems for data collection, transformation, storage, and management. They work on individual projects based on deadlines, collaborate with teams, and provide technical leadership in data system development. Responsibilities include building scalable data pipelines, mentoring junior engineers, and optimizing code quality. Ideal candidates have 4+ years of data engineering experience with expertise in Python, SQL, Apache Spark, Apache Kafka, and job orchestration tools.
As a Data Engineer at Demyst, you will be responsible for collaborating with internal project managers, sales directors, and clients to build external data-driven solutions using Python, Pandas, ETL, APIs, SQL, Git, and more. The role involves analyzing data, designing code blocks, and maintaining production solutions.
Experienced Data Engineer Consultant needed for implementing data ingestion and transformation pipelines for large scale organizations using Microsoft Azure services. Must have expertise in data solutions and BI platforms, as well as coaching and problem-solving skills.
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.
JLL is seeking a Data Engineer to work in a global role designing and developing strategic data solutions for the business using the latest technologies and patterns. The role involves partnering with the broader JLLT team at different levels and requires expertise in SQL, PySpark, cloud platforms, data pipelines, ETL processes, and data warehousing concepts.
As a Senior Data Engineer at JioCinema, you will align data engineering initiatives with business goals, design and implement ETL/ELT pipelines, manage and optimize database systems, guide utilization of Hadoop components, lead adoption of real-time data processing frameworks, and leverage cloud-based data solutions. You will also need strong programming skills, experience in data warehousing, knowledge of data protection regulations, proficiency in visualization and BI tools, and expertise in infrastructure automation.
JLL is seeking a Senior Data Engineer to work in a fast-paced environment, designing and developing data solutions for the Commercial Real Estate business. Responsibilities include developing data pipelines, optimizing system performance, implementing data architecture best practices, collaborating with data scientists, and ensuring data integrity.
Data Engineer III responsible for designing and developing data-driven frameworks and applications on Cloud platforms, migrating on-premise data systems to the Cloud, and evaluating newer Cloud technologies. Participate in the full software lifecycle, collaborate with Product Management and Analyst Teams, and contribute to technology vision. Requires 6+ years of industry experience with a focus on data ingestion, processing, and publishing on enterprise-scale Big Data solutions.
Trust Payments is seeking a skilled Data Engineer to design, develop, and maintain data infrastructure on the AWS cloud platform. Responsibilities include building scalable data pipelines, collaborating with cross-functional teams, optimizing data workflows, and ensuring data quality and security compliance.
Develop and maintain scalable data pipelines, collaborate with cross-functional teams, optimize data storage, troubleshoot data issues, and mentor junior team members. Bachelor's degree in Computer Science required, Master's degree preferred.
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