Top Data Engineer Jobs in Bengaluru, KA
Seeking an experienced Data Engineer to join the team, with strong background in data engineering and expertise in AWS Glue and MuleSoft tools. Responsibilities include working on data integration and ETL/ELT pipelines, building and maintaining data pipelines on AWS, developing data transformations, and building integrations with various systems using MuleSoft.
Seeking an experienced Lead Data Engineer to build scalable solutions in Azure Platforms for Data & Analytics. Responsibilities include managing and administering Microsoft Azure, designing multi-region solutions, conducting Proof of Concepts, migrating infrastructure to cloud, implementing security controls, and supporting cloud adoption. Required skills include Azure experience, IaaS and PaaS solutions, agile framework, IaC development with Terraform and Azure CLI, Python, C#, Windows, Linux, networking, Azure services like AKS and ADLS, GIT, ADO, Terraform Cloud, Azure DevOps, Jira, and ServiceNow.
Senior Data Engineer at Nielsen's Marketing Effectiveness business, responsible for building a data platform on AWS, ingesting data from external sources, and performing ETL tasks. Must have experience with large datasets, automation, and cloud security principles.
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Passionate Data Architect with 5+ years of experience leading data solutions on Azure. Expertise in Spark, SQL, Python, Scala, data modeling, and cloud engineering. Responsible for architecting and implementing modern data platforms on public cloud for analytics and AI use cases.
Build highly scalable, fault-tolerant distributed data processing systems, refine datasets, build data pipelines, own data logic and quality, participate in architecture discussions, maintain existing platforms, collaborate with teams.
Seeking a Data Architect with 10 years of experience to design high-performance data architectures for generative AI solutions. Responsibilities include data infrastructure design and implementation, data pipeline development, data governance, and collaborating with AI Engineers. Qualifications include expertise in data management, big data technologies, vector databases, SQL, cloud platforms, and strong communication skills.
Preparation and transformation of data for forecast solutions, design and maintenance of data pipelines, collaboration with stakeholders, and continuous improvement of processes and tools for data pipelines.
Seeking a Lead Data Engineer experienced in Azure Cloud technologies to design and build data pipelines, manage data storage solutions, and drive insights through data processing and analytics. Responsibilities include developing data pipelines, maintaining data lake architectures, collaborating with stakeholders, and optimizing processes. Prerequisite skills include expertise in Azure Data Factory, Azure Databricks, distributed computing with Apache Spark, SQL, Python, and more. The candidate must have a Bachelor's/Master's degree in relevant fields and at least 6 years of experience in Data Engineering.
Data Engineer responsible for building and maintaining data engineering frameworks within AWS EMR/Glue environments, optimizing data pipelines, and collaborating with data architects to implement best practices. Must have a strong foundation in software engineering and proficiency in SQL, data modeling, and ETL processes.
Drivetrain is looking for a Data Engineer to build and monitor large-scale data pipelines, develop DBT setup, collaborate with the data platform team, and craft cutting-edge data solutions.
Translate client requirements into design, architect, and implement GCP Cloud-based big data solutions. Provide technical leadership in data engineering, manage team, and establish standard data practices. Participate in client workshops and contribute to hiring and mentorship.
As a Senior Associate Data Engineering L2 in Big Data Azure, you will be responsible for translating client requirements into technical designs and implementing data engineering solutions. Your impact will include data ingestion, integration, storage, computation, analytics, visualizations, infrastructure, cloud computing, and data management platforms. You should have a minimum of 6-8 years of experience in Big Data technologies and a Bachelor’s degree.
Seeking a self-motivated and experienced Data & Analytics Engineer to join the Affinidi Elements team. Responsible for developing, prototyping, and implementing data layers for next-generation data and identity products. Will work on designing, architecting, and building quality systems with hands-on coding and integration experience.
Design and implement robust cloud-based data architectures with a focus on AI/ML technologies. Lead data-driven strategy, innovation, and optimization of global operations. Collaborate with cross-functional teams, select cloud platforms, integrate data sources, and promote data governance and security best practices. Mentor junior team members and drive continuous improvement initiatives.
Collaborate with stakeholders to design, implement, and maintain data pipelines and models using cloud platforms. Ensure data quality, security, and compliance while supporting analytics initiatives. Mentor junior team members in best practices for data architecture and engineering.
As a Big Data Engineer at Nielsen, you will be responsible for building scalable and reliable solutions for both cloud and on-premises environments. You will collaborate with Scrum and program teams to test, develop, and implement quality software using Agile methodologies. Key responsibilities include developing end-to-end solutions in Big Data analytics, providing cloud integration support, and mentoring junior team members. The role requires a bachelor's degree in computer science, engineering, and 4-8 years of IT solutions development experience.
Design, build, and maintain scalable data pipelines and ETL processes, collaborate with teams, optimize database systems, implement data quality processes, evaluate new tools and technologies, troubleshoot data-related issues, document processes, stay current with industry trends, guide and mentor team members, stakeholder management, and leadership skills.
Analytics Engineer role responsible for data analysis, implementing analytics and machine learning solutions within the GPS Technology group at Fidelity International. Key responsibilities include data lifecycle management, data modeling, data quality expertise, and implementing machine learning models. Requires 5 years of experience in the field.
Senior Software Engineer on the Insights team at H1, responsible for developing and maintaining software systems to analyze and interpret medical data for healthcare improvements. Collaborate with stakeholders to provide optimal solutions that align with product goals and user needs. Develop algorithms and systems to process and analyze large sets of medical data.
As a Senior Associate Data Engineering L2 in Data Engineering at Publicis Sapient, you will design and implement data engineering solutions, focusing on data ingestion, integration, transformation, storage, computation, analytics, and visualizations. You will be responsible for building end-to-end data pipelines and working with Big Data technologies. Minimum 6 years of experience with Bachelor's degree required.
As a Senior Data Engineer at Gojek's GTF Data Platform team, you will design, build, and maintain data streaming solutions, troubleshoot data-related issues, ensure scalability and reliability, collaborate with stakeholders, and stay updated with data streaming technologies.
Greenlight Financial is seeking a highly skilled and experienced Staff Data Analytics Engineer to design, develop, and maintain data infrastructure, collaborate with cross-functional teams, and ensure robust and scalable data solutions for business needs.
Build and maintain data platform, translate requirements into designs, collaborate with teams to bring AI experiences to life, define data governance policies, and handle project scope with data analytics.
Join Maersk's Global data analytics team as a Data Engineer to drive digital transformation and work on products with direct impact on the business. Collaborate with product managers, data scientists, and developers to ship high-impact digital products. Work with a wide range of data technologies and platforms in an agile environment.
The Data Engineer is responsible for building Data Engineering Solutions using next generation data techniques. Responsibilities include designing and developing big data solutions, moving legacy workloads to the cloud platform, building data pipelines, ensuring automation through CI/CD, tuning big data applications, evaluating new IT developments, and assessing risks in business decisions.
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