Top Data Engineer Jobs in Hyderabad, TG
The Gen AI - Data Engineer position at BLEND360 requires proficiency in Pydantic and FastAPI, experience with containerization technologies and CI/CD pipelines, knowledge of API design and microservices architecture, familiarity with monitoring and logging tools, and understanding of security best practices. The role also involves leading technical teams, building applications using microservices, and working with Retriever models and vector databases.
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.
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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.
Design, develop, and maintain data pipelines and infrastructure using Python, AWS, and Spark. Collaborate with data scientists and analysts to ensure data quality and integrity. Optimize data processing and storage for performance and scalability. Implement data security measures and stay updated with industry trends.
The Data Engineer Associate at Genworth works closely with Project Stakeholders and Technical team to develop and maintain Pre/Post processing programs and ML models. Responsibilities include building machine learning pipelines, developing python programs, utilizing GCP tools, working with cross-functional teams, and developing Enterprise API and Microservices using Python, JavaScript, Docker, Kubernetes.
The Data Engineer at Genworth will apply software development skills, math aptitude, and knowledge of finance and accounting systems. Responsibilities include migrating applications to a SaaS model, developing and maintaining scripts, managing data feeds, troubleshooting, and collaborating with various stakeholders.
Seeking a skilled GCP Data Engineer with 6+ years of experience to join our team. Responsibilities include working with GCP, Big Query, and Data Flow to enhance data infrastructure and analytics capabilities.
Seeking a Data Engineer with 8+ years of experience in data warehousing, RDBMS, cloud technologies, and scripting languages. Responsibilities include developing data pipelines, supporting data feeds, evaluating business needs, and improving data quality.
Specialist Development - Data Engineer role at Sun Life, a leading financial services company. Responsible for working with dynamic colleagues to provide financial security and wealth products and services to clients globally. Opportunity to contribute to innovative technology and asset management.
As a Software Engineer on the Data Engineering team at H1, you will be responsible for analyzing vast amounts of data, writing production-grade pipelines using big data technologies, and managing projects to deliver high-quality healthcare data applications in an AWS cloud environment.
Develop high performance and scalable solutions to extract, transform, and load big data. Design, build, test, deploy cutting-edge solutions at scale. Support People Data applications, ensure data quality, and interact with engineering teams. Implement data quality checks, validation, and cleaning processes.
The Associate Data Engineer position at TaskUs involves working with Python, SQL, and cloud infrastructure to provide outsourced digital services and enhance customer experiences for fast-growing technology companies.
Responsible for designing and developing big data solutions, moving legacy workloads to cloud platform, building data pipelines, ensuring automation through CI/CD, and optimizing performance of big data applications. Also involved in evaluating IT developments and recommending system enhancements.
As a Data Engineer at Walmart, you will be responsible for developing and maintaining data pipelines to support data science initiatives. You will work with a mammoth scale of data to create valuable data assets for retail analytics. Collaboration with Data Scientists, Analysts, and business stakeholders to solve complex challenges is crucial for evolving the retail business model.
Seeking a highly skilled Data Engineer to lead the development of advertising pipelines and algorithms, design scalable software solutions, and drive data-centric projects to success. Responsibilities include designing and implementing data-driven solutions, leading data processing pipeline development, writing clean code, collaborating with teams, and staying updated on industry trends. Qualifications include a Bachelor's or Master's degree, 4+ years of experience, strong programming fundamentals, proficiency in Python and SQL, experience with data processing and modeling, and excellent problem-solving and communication skills.
The Data Engineer at Sovereign will be responsible for maintaining large historical data stores, cleaning data, and building tools for researchers to access data easily in different formats.
The Data Engineer III at Sam's Club Tech will work on building and supporting a sophisticated segmentation tool for marketing/advertising purposes, developing backend software services for advertising on Walmart.com, and maintaining APIs for advertisers to manage ad campaigns.
Develop high performance and scalable solutions for extracting, transforming, and loading big data. Design and deploy cutting-edge solutions at scale to drive value from data at Walmart. Support People Data applications ensuring Data Quality and Governance standards. Collaborate with engineering teams globally to ensure data accuracy and quality.
Design, build, modify, and support data pipelines using Microsoft Azure data PaaS services like DataBricks and PowerBI. Collaborate with Team Leads, run tests, benchmark code, troubleshoot issues, mentor staff, and manage technical delivery. Requires 11-20 years of software development experience with at least 5 years in cloud computing and 1+ years in DataBricks, Synapse, or Snowflake.
Responsible for expanding and optimizing data architecture, building data pipelines, and providing actionable insights. Collaborate with cross-functional teams to support data initiatives and ensure data security and functionality. Requires 5+ years of experience in a Data Engineer role.
Design, build, test, and deploy cutting-edge solutions at scale impacting millions of customers worldwide. Develop high-performance and scalable solutions/APIs in Storm, Spark, and big data. Work on optimizing data pipelines and architectures involving petabyte and terabyte of data. Collaborate with engineering teams and engage with product management to drive the agenda and deliver product features. Analyze and test programs before launch, ensure software security, and seek ways to improve software effectiveness.
Design, develop, and maintain sophisticated software/data platforms as a Senior Data Engineer at Oportun. Contribute to architectural decisions, mentor junior engineers, and collaborate with cross-functional teams to deliver scalable solutions. Responsible for achieving the engineering group's charter and advancing impact in the market.
Seeking a Data Engineer to design, develop, and implement data pipelines and solutions using Scala, Spark, and GCP. Responsibilities include data modeling, ETL processes, and ensuring data quality. Requires 3 years of experience and strong programming skills in Scala.
The Data Engineer II is responsible for ensuring accurate and pertinent data for the Legal and Compliance departments. They extract and analyze data from multiple databases/platforms, design analytics models, and address business challenges. The role involves ensuring data integrity, conducting root-cause analyses, and implementing corrective measures for data-related issues.
Experian is seeking a Senior Data Engineer to join their agile team in building outstanding solutions and delivering value to customers. Responsibilities include developing quality solutions, collaborating with team members, providing technical support, and maintaining codebases. The ideal candidate will have experience in Scala development, utilizing Spark framework, AWS technologies, and staying up-to-date with industry best practices.
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