Top Data Engineer Jobs in Hyderabad
The Senior Data Engineer will design and develop marketing data platforms, focusing on data pipelines for streaming and batch data processing. This role involves building scalable solutions to enhance product analytics, personalization, and marketing efforts while collaborating with data engineers and other teams to support data-driven decision-making across Warner Bros. Discovery.
The Senior Data Engineer at Warner Bros. Discovery in Hyderabad, India will mentor junior data engineers, contribute to the engineering community, design and develop the data platform, work on scalability and reliability of the data platform, collaborate with various teams, ensure data quality, and grow the team.
Mentor and provide technical guidance to junior data engineers, design and develop data platform, collaborate with various teams to enhance scalability and reliability, ensure data quality, work closely with AI/ML team, hire and mentor engineering and analyst team members.
Senior Data Engineer role at Warner Bros. Discovery in Hyderabad, India. Responsibilities include mentoring junior data engineers, designing and developing data platforms, collaborating with various teams, ensuring data quality, and supporting the platform 24X7. Requires a Bachelor's degree in computer science, 5+ years of experience in software engineering and data engineering.
As a Staff Data Engineer at Warner Bros. Discovery, you will design and develop the data platform to address various data needs efficiently. You will work on data processing, storage, and serving using cutting-edge techniques to enhance customer interactions and improve metrics. Mentor junior engineers, contribute to the engineering community, and collaborate with different teams to scale and improve the data platform.
As a Senior Data Engineer at Atlassian, you will play a pivotal role in influencing product teams, inform data strategies, ensure data quality, collect and transform data, and generate insights to enhance product experience and engagement. Your work will help improve efficiency and support strategic goals across the business.
The Data Engineer will lead data engineering efforts focusing on Azure technologies, ensuring data transformation, quality, and modeling while collaborating effectively with stakeholders in an Agile environment. The role involves extensive experience in database design and data strategy, particularly in the Wealth Management sector.
As a Data Engineer, you will collaborate with project managers and clients to deliver data-driven solutions, perform data analyses, and design scalable code blocks. You will utilize Demyst's proprietary Python library along with cloud infrastructure and manage the deployment of production solutions.
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As a Data Engineer at Miles, you'll work with product managers and data analysts to build data products, maintain data pipelines, perform ad-hoc analysis, and create visualizations. Your role will involve optimizing database queries and collaborating with business and data science teams to deliver impactful insights.
The Azure Data Engineer will design, implement, and maintain data processing systems using Azure technologies, develop data engineering solutions, create data pipelines and optimize storage, and collaborate with teams to ensure data quality and scalability.
The Data Engineer will design and build data models, maintain data ingestion and processing systems, implement data storage solutions, and ensure data accuracy while collaborating with various teams on data-related issues, primarily utilizing Python, Airflow, and AWS services.
The Data Engineer will handle data engineering, modeling, warehousing, and analytics. Responsibilities include building a config-driven framework using Python and Spark, along with leveraging AWS services.
The Data Engineer at NucleusTeq will focus on GCP cloud migration, data engineering tasks, data modeling, ETL processes, and data warehousing to promote business success and digital innovation.
The Data Engineer III is responsible for designing, implementing, and supporting data solutions and pipelines that transform data from various sources into valuable insights. The role requires creating scalable data models for reporting, supporting large data platforms, and collaborating within Agile teams to enhance development processes.
The Data Engineer will design, implement, and maintain scalable data pipelines, optimize data flow, and support various teams including software developers and data analysts. Key responsibilities include building ETL workflows, ensuring data quality, and collaborating with stakeholders to meet data needs.
The Data Engineer III will design and develop data-driven frameworks and applications, focusing on cloud migration and data solutions. Responsibilities include full software lifecycle participation, product feature analysis, and maintaining technology understanding to help innovate data applications.
As a Data Engineer, you will analyze business requirements, develop and implement data solutions, and maintain ETL processes while ensuring data quality. Collaboration and debugging skills are essential to address any issues in the data processes to support data-driven decision making.
The Digital Data Engineer at Sanofi will develop and maintain data engineering solutions and pipelines, optimize ETL processes, and collaborate with cross-functional teams to translate business requirements into technical solutions. The role includes working in an Agile environment, creating documentation, and supporting production data objects.
As a Specialist Digital Data Engineer at Sanofi, you will propose and establish technical designs, develop and maintain data engineering solutions, create and optimize data pipelines, coach junior team members, and ensure quality and consistency of data across systems, particularly SAP. You will also engage with cross-functional teams and stakeholders to draw insights from complex data architectures.
The Data Engineer II role at Cencora focuses on providing accurate data support for Legal and Compliance departments. Responsibilities include data extraction and analysis, data quality validation, and developing analytics models to address business challenges. The position requires data monitoring, collaborating with teams, and ensuring data integrity for effective decision-making.
As a Sr. Data Engineer at Micron Technology, you will develop and enhance systems to extract insights from data streams, collaborate with data scientists and analytic teams, and design data management systems in GCP Cloud, focusing on optimizing ETL processes and ensuring data quality for analysis.
The Data Engineer will work collaboratively across teams to implement data security solutions, manage data models and databases, conduct risk assessments, and ensure compliance with privacy laws. Responsibilities include developing data-centric strategies, training stakeholders, and improving security observability services.
The Data Engineer will design and develop scalable data ingestion pipelines, enhance data flows between systems, and support data migration to Snowflake. Responsibilities include working with stakeholders to define data needs, improving data quality, and documenting processes, while leveraging a range of cloud and data technologies, particularly within AWS.
As a Data Engineer III at Sam's Club Tech, you will design and implement low-latency REST APIs using Java or Scala, manage backend services for advertising, and work on scalable data pipelines. Responsibilities also include developing APIs for on-demand reporting, troubleshooting production issues, and utilizing modern architectures like microservices and serverless frameworks.
The Data Engineer will focus on data engineering, modeling, ETL processes, and data warehousing to support business objectives and drive innovation. Responsibilities include building analytical data assets using the modern data stack.
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