Top Data Engineer Jobs in Hyderabad, TG

Design, develop, and maintain Ninja Van’s infrastructure for streaming, processing, and storage of data. Build tools for maintenance and monitoring of the data infrastructure. Lead data pipeline architecture decisions, develop scalable solutions, and enforce data-driven decisions. Develop data retention policies and ensure data security.

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.

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.

Responsible for leading data engineering efforts to modernize and optimize data solutions, working on data pipelines and warehousing solutions in a cloud environment. Collaborate with cross-functional teams to drive digital transformation through AI and machine learning technologies at Sanofi.

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.

Seeking a skilled and experienced Data Engineer with expertise in Oracle Data Integrator (ODI) and Oracle Business Intelligence (OBI) to design, develop, and maintain data integration and business intelligence solutions. Responsibilities include collaborating with cross-functional teams, developing ETL processes, designing data models, ensuring reliability and performance, and staying updated on industry trends. Bachelor's degree in Computer Science or related field and 5-8 years of experience required.

Design, develop, and maintain infrastructure for streaming, processing, and storage of data at Ninja Van. Lead data pipeline architecture decisions and collaborate with stakeholders to develop scalable solutions. Develop team's data capabilities and ensure data security and redundancy.

Responsible for technical development of cloud-first data engineering solutions to support data product and AI teams. Collaborate in a team environment to build data pipelines and optimize solutions for performance and cost efficiency.

A Data Integration Engineer provides infrastructure, data integration & data visualisation cloud and on-prem solutions for all Experian BUs. Responsible for ensuring the right data is in the right place at the right time at the lowest cost. Responsibilities include projects, service, governance, and partnerships.

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.

The Senior Data Engineer will design, develop, and manage advanced data solutions with a strong focus on natural language processing (NLP) and generative AI technologies. Requires 5-8 years of experience in data engineering with proficiency in Python, Java, Scala, SQL, Hadoop, Spark, and more. Must have a Bachelor's or Master's degree in Computer Science or a related field.

Staff Data Science Engineer at Micron Technology with 6 years of experience in analytics, data science, and software engineering. Responsibilities include data analysis and machine learning on large datasets, statistical modeling, data extraction, software development, and communication skills. Experience with Python, R, PySpark, SparkR, Hadoop, Teradata, SQL, Tensorflow, and more. Semiconductor industry exposure is a plus.

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 Principal Data Management Programmer, you will be responsible for developing programs for data validation, managing data review processes, and implementing protocol deviation solutions. The role involves working on clinical trial projects and optimizing data reporting tools. The position requires expertise in SAS, R, Python, database structure, data visualization tools, and AI/ML models. Strong knowledge of regulatory guidelines in data management and drug development is essential.

Senior Data Engineer responsible for designing, developing, deploying, and maintaining Data Warehousing stack on AWS. Must have 5+ years of experience in building data pipelines and data warehouse architectures on cloud platforms such as AWS, Microsoft Azure, and GCP. Strong SQL, Python, and Spark skills required.

Data Visualization Engineer role at Sanofi in Hyderabad. Responsible for designing and developing enterprise data visualization solutions to meet business needs.

Seeking a Senior Data Transformation Architect to architect, build, scale, and deploy Machine Learning Models and associated Software Technology components. Responsible for machine learning lifecycle management, developing high-quality machine learning services and platforms, and collaborating with data scientists and product owners.