Top Data Science Jobs in Hyderabad, TG
Designing and building data models, developing data ingestion systems, implementing data storage solutions, ensuring data consistency, collaborating with cross-functional teams, and possessing proficiency in Python, big data, and Databricks.
Data Visualization Engineer role at Sanofi in Hyderabad. Responsible for designing and developing enterprise data visualization solutions to meet business needs.
Lead in the creation, expansion, and optimization of data and data pipeline architecture. Support data analysts on data initiatives and ensure optimal data delivery architecture. Create and maintain optimal data pipeline architecture, assemble large data sets, build analytics tools, work with stakeholders, and create data tools for team members.
Modernizing Medicine is seeking a Senior Data Engineer to develop and maintain data pipelines, guide data infrastructure design, liaise with engineering and product teams, design code, and provide thought leadership on diverse projects.
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.
As a Data Engineer, you will manage and analyze business data, develop reports and visualizations, ensure data accuracy, provide technical support for BI tools, collaborate with teams, and document analysis processes. Requires 4+ years of experience in data analysis or business intelligence.
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.
Join Thrasio as a Senior Data Analytics Engineer to solve complex business problems by leveraging data, building scalable processes, and compelling visualization. Partner with stakeholders, develop scalable data solutions, and drive efficiency in processes.
The Data Practise Lead will be responsible for designing technical solutions, data architecture, and data security for U.S, Europe, and APAC clients. They will work on data models, databases, ETL workflows, data integration, and data quality within the organisation. Additional responsibilities include collaborating with stakeholders, staying current with industry trends, and implementing data quality tools.
Collaborate with stakeholders to understand data requirements and develop data models. Design data integration processes and data warehousing solutions. Establish data governance policies and procedures. Work with cross-functional teams and stay informed about data modelling trends.
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.
Lead and define Data Architecture, Data Quality, and Data Governance. Develop and maintain data standards, drive data utilization, design data models, and provide architectural assessments for big data platforms. Implement industry best practices and mentor Data Analytics team members.
Join Miles, a rewards app revolutionizing travel rewards. As a Data Engineer, you will build data products, maintain pipelines, analyze new data sources, and collaborate with cross-functional teams. Requires expertise in SQL, Pyspark, Pandas, Tableau, data querying, and stream-processing systems.
The Senior Analytics Engineer at Remote will be responsible for designing, developing, and maintaining dbt models for data transformation and analysis. They will work collaboratively on challenging data problems and make an impact with their work, using modern data tooling such as SQL, Python, and various data platforms.
Seeking a Data Engineer to design, develop, and maintain data solutions for analytics and business purposes. Responsibilities include data integration, processing, retrieval, and transformation to enable valuable insights for decision-making. The role requires collaboration with cross-functional teams to enhance data solutions leveraging modern tech stack.
Full-time hybrid role for a Data Engineer at NucleusTeq. Responsibilities include data engineering, data modeling, data warehousing, and data analytics. Must have experience with Airflow and AWS technologies. Qualifications include Bachelor's or Master's degree in Computer Science or related field.
As a Data Engineer at H1, you will collaborate with a multidisciplinary team to analyze and interpret medical data, develop algorithms for data processing, work on integrating applications with healthcare IT systems, and stay updated with the latest technology and healthcare sector developments to improve data analysis.
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