Top Data Engineer Jobs in Bengaluru, KA
As a Data Engineer in Finance Technology DevOps team, responsible for developing Schematic Data Model, Business Intelligence services, AI/ML exploration, and supporting DevOps activities. Collaborate with product managers and application platform teams to build scalable reporting solutions and AI models.
Join JLL Technologies as a Senior Data Engineer. Take the lead on project solutions, develop and monitor data integration activities, optimize processes, mentor junior team members, and ensure efficient data flows. Requires 8-10 years of experience and a Bachelor's/Master's degree in Computer Science/Information Systems. Must have strong technical skills in Azure Databricks, ETL, SQL, Python, PySpark, SparkSQL, and more.
As a Senior Data Engineer at Komodo Health, you will drive the development of data products and tools using technologies like Spark, Airflow, and Snowflake. Responsibilities include writing enterprise-level code, leading data pipelining, and enhancing operational stability of software applications.
Lead and drive the execution of multiple business plans and projects related to data engineering. Implement new architectural patterns and promote high standards of code quality and system reliability. Must have strong hands-on experience with Hadoop, Hive, Apache Spark, and expertise in cloud computing platforms such as Google Cloud Platform (GCP).
Participates as a senior member of data development team, develops data integration codes, designs data lake layers, performs data analysis, and leads code reviews. Requires 8 years of experience and proficiency in Python, Scala, SQL, Hive, Spark, No SQL, Oozie, and Airflow.
Senior Data Engineer responsible for providing high-quality data sets, building data products, developing data models, and maintaining data pipelines. Collaborates with various teams and ensures data solutions meet SLAs. Requires expertise in Big Data technologies, SQL optimization, ETL processes, AWS ecosystem, and programming languages like Python, Java, and Scala.
Seeking a highly motivated Senior Data Engineer to join the analytics and information management team of Pratt and Whitney. Responsible for designing and building big data pipelines, enabling efficient data flows, and implementing best-in-class data and analytics principles using Databricks and AWS Cloud services.
Looking for an experienced Data Engineer to build, maintain, scale, and integrate big data-based platforms. Responsible for setting up and automating Data Science models/algorithms for production use. Opportunity to provide data insight for analysis and drive business decisions.
Senior Data Engineer role at Cockroach Labs in Bangalore, India. Responsible for defining, developing, and managing curated datasets, key metrics, and reporting. Collaborate with cross-functional teams to build data applications and provide strategic recommendations for Product, Sales, and Marketing. Must have 6+ years of experience in Data Engineering with expertise in modern data warehouse technologies and tools.
Participates as a senior member of data development team, completes data analysis, and develops batch, real-time, and streaming data integration codes independently. Designs, prepares, and automates test cases, applies technical knowledge to maintain data engineering, and implements complex infrastructure and software solutions using company and open-source technologies.
Looking for a Azure Big Data Engineer with 4-6 years of relevant IT experience. Must have experience in implementing Hadoop projects and expertise in MS-Azure with HDInsights/Databricks. Strong skills in SparkCore, PySpark, Scala, Hive, Hbase, SparkSQL. Additional experience with PostgreSQL, Azure Data Factory, Blob, ADLS, and NoSQL databases preferred. Excellent communication skills required.
Design and develop critical systems with high-availability and high performance. Responsible for design and development of products utilizing Visa's data. Collaborate with stakeholders to deliver high-quality products while applying the latest tools and technology. Work in Agile/Scrum teams and create documentation for installation and maintenance.
Design, build, and shape data pipelines and infrastructure to support a modern data lake for a clinical trial enrollment platform. Work directly with sponsors and external parties on data products. Support internal and external data products by building, scaling, and integrating data processes. Ensure compliance with regulatory frameworks and drive best practices for high-performance systems.
Seeking an experienced Senior Data Engineer to develop core data services for industry-leading reports and insights. Responsibilities include designing and building solutions, working with other teams, and partnering with Data Science experts. Must have 7+ years of development experience with data pipelines, ETL, AWS data services, Python, JavaScript, and SQL. Nice-to-have skills include data analytics, ML, Agile development environment, and CI/CD deployment.
As a Big Data Engineer, you will be responsible for building and testing Cloud-based applications, developing reusable code components, providing cloud integration support, and collaborating with cross-functional teams. Key skills include hands-on software development, cloud implementation expertise, and strong knowledge of big data processing tools and orchestration tools.
Senior Data Engineer role at S&P Global's Automotive Insights department. Responsible for managing and optimizing data pipelines within the automotive industry, designing scalable data architectures, and enabling efficient data access for analytics and machine learning applications.
Lead individual RE Data and Analytics product development, drive requirement gathering, lead process improvements, maintain complex data model, and communicate business acumen using Power BI and ADF.
Senior Data Engineer role at Myntra, working on modernizing the data platform and building self-serve offerings for data consumers. Responsible for building data products and analytical models to support business decisions in the fast-growing field of big data and analytics.
Seeking a highly skilled Senior Big Data Engineer with experience in developing and scaling stream and batch processing systems using GCP technologies. Responsibilities include building reliable code, implementing automation best practices, and leveraging various tools. Remote work environment with a focus on problem-solving and communication.
Senior Data Engineer role at Quantiphi. Responsibilities include building cloud-native solutions, working on data pipelines, SQL optimization, mentoring junior engineers, and more. Good to have skills include ML model migration and data governance.
Looking for a senior data engineer to join the data engineering team at EarnIn. Responsibilities include designing, developing, and delivering large-scale data systems, collaborating with teams, and mentoring engineers. Must have 6+ years of development experience and expertise in Scala, Java, Python, C#, Kotlin, and major data processing frameworks.
Responsible for developing data pipelines for scheduled and real-time use cases, optimizing scalable pipelines, and contributing to the delivery of enterprise software. Must have a Bachelor's degree in Computer Science, MIS, or Engineering.
As a Senior Data Engineer at DAT, you will be responsible for developing data engineering patterns and practices within the organization. You will design, build, and maintain data infrastructure with a focus on reusability, availability, and scalability in AWS. You will work on evolving the data platform architecture and providing solutions for complex business problems.
Seeking a Senior Data Engineer with 3-5 years of experience in IT environment, strong skills in MS Azure, MS SQL Server, T-SQL, SSIS, and ETL processes. Must have experience with database design/development, data modeling, and data manipulation using various tools. Excellent communication skills and ability to work in Agile environment required.
Join ASAPP as a Staff Data Engineer in Infrastructure to design and deploy improvements to data pipelines and systems, automate processes, enhance monitoring, develop automation solutions, and manage data infrastructure components. Requires expertise in software development, data engineering, SQL, programming languages, AWS, CI/CD, and workflow management systems.
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