Top Data Engineer Jobs in Hyderabad, TG
Work as a Data Engineer at Warner Bros. Discovery to develop data technology stack for end-user insights and digital product strategies. Responsible for data architecture, modeling, ETL processes, database queries, and BI tools. Must have strong experience in SQL, Python, AWS, Teradata, Snowflake, and data modeling.
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.
The Principal Data Engineer at Skillsoft will drive the advancement of Enterprise data infrastructure, lead the development of deep data-driven analyses, and collaborate with cross-functional teams in an agile environment. Responsibilities include designing and implementing data infrastructure, building data products, managing a small team, and evangelizing the Enterprise Data Strategy & Execution Team mission.
Work as a Data Engineer at Warner Bros. Discovery to create data technology stacks, optimize data technologies, and shape digital data strategy. Responsibilities include ETL processes, database queries, debugging, JIRA user stories, BI tools usage, QA testing, and monitoring data loads. Required qualifications include a Bachelor's degree in computer science or related field, 5-8 years of data engineering experience, knowledge of various data sets and programming languages, and expertise in MPP databases and AWS cloud services.
Design, build, and measure complex ELT jobs to process disparate data sources. Assist with system flow documentation and data quality standards. Translate business requirements into technical specs.
Join as a Staff Data Engineer at Crunchyroll's India Operations to advance data engineering capabilities in AWS and GCP ecosystems. Collaborate with stakeholders, mentor data engineers, and ensure data consistency for well-informed decision-making. Build and strengthen global data engineering platforms, focusing on data infrastructure, architecture, and ML job orchestration.
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.
Interact with stakeholders to identify opportunities for Data Engineering, build Big Data Analytics and Visualization platform, work on ETL, high-volume real-time data pipeline, Rest API Layer, and analytics using Python.
Featured Jobs
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.
Looking for a Sr. Staff Data Engineer to build a state-of-the-art data platform for various data-driven use cases across the organization. Responsibilities include translating business requirements into engineering architecture, building software for event-driven data processing, storage, and serving through APIs, and exploring and utilizing data through analytics and data mining.
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.
As a Senior/Lead Data Engineer at BLEND360, you will be responsible for developing data pipelines, optimizing data infrastructure, and collaborating with stakeholders to deliver exceptional data solutions. You will work with leading technologies such as Python, Scala, Java, SQL, Hadoop, Spark, and cloud platforms like AWS, Azure, and GCP.
Seeking a Sr. Staff Data Engineer to build a state-of-the-art data platform for various data-driven use cases. Responsibilities include translating business requirements into engineering architecture, building cutting-edge data platform software, and leading exploratory analytics and data mining efforts.
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.
Join BLEND360 as a Senior/Lead Data Engineer, responsible for developing data pipelines, optimizing data processing, collaborating with stakeholders, and staying updated on data engineering technologies. Work with Python, Scala, Java, SQL, Hadoop, Spark, AWS, Azure, and GCP to deliver exceptional data solutions for Fortune 500 clients.
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.
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.
Data Engineer role at Experian, focused on developing quality solutions within deadlines and supporting the full product lifecycle. Required skills include Scala, Spark, AWS, Python, and familiarity with Agile methodologies. Strong communication, clean code writing, and attention to detail are essential.
Orion Innovation is seeking a Data Engineer with 7 to 10 years of experience in data engineering, focusing on Microsoft technologies. The role involves expertise in Azure data services, data modeling, and strong communication skills.
Responsible for building and implementing ETL/ELT data pipelines, solving data challenges at scale, and continuously improving data processing turnaround and usability. Must have strong experience with Python, SQL, data warehouses, and data integration.
Design, implement, and maintain data warehouse environments. Collaborate with cross-functional teams to support data-related initiatives. Strong focus on performance, scalability, and data flow management.
As a Sr Data Engineer at a global market leader in AI-enhanced technology, your responsibilities include data analysis and design, implementation, subject matter expertise development, collaboration for solution development, and cloud data management. You must have 5+ years of experience in Snowflake and expertise in various data warehouse technologies.
The Data Engineer at Komodo Health is responsible for technical aspects and collaborating with various teams to understand and articulate technical requirements. The role involves building relationships, providing technical design guidance, and making strategic decisions to address solution design needs.
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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