Top Data Engineer Jobs in Hyderabad

The Software Consultant (Data Engineer) will design ETL pipelines using Python and AWS, ensure software quality and security, and implement CI/CD practices.

Design, implement, and maintain data pipelines using Elasticsearch and data warehousing solutions, integrate data sources, and ensure data accuracy while collaborating with cross-functional teams.

Seeking an Azure Data Engineer with 6-8 years of experience to optimize data solutions using Azure technologies, focusing on ETL pipelines and data modeling.

The Data Engineer role involves designing and maintaining ETL pipelines, optimizing data storage solutions, collaborating with teams, and ensuring data accuracy and integrity.

As a Data Engineer, you will design and implement big data technologies, manage data pipelines, and analyze data to facilitate informed decision-making.

The Data Engineer is responsible for optimizing data architecture and pipelines, collaborating with teams to deliver data solutions, and building analytics tools for business insights.

The Principal Lead Product Data Engineer collaborates with product and engineering teams to ensure technical feasibility, translates business outcomes into actionable requirements, and supports data quality and automation processes.

Design, build, and maintain scalable data platforms using AWS services, focusing on ETL pipelines, data modeling, and collaboration with teams.

The Salesforce Marketing Cloud Developer designs and implements marketing solutions, ensuring integration and automation while providing ongoing support and optimization of campaigns.

The Software Engineer will manage data collection, extend cloud infrastructure, and collaborate on datasets for AI models in Speechify's data team.

As a Data Engineer, you will build scalable ETL/ELT pipelines, optimize data structures, and develop impactful Power BI solutions for stakeholders.

As a Data Engineer, you'll build and monitor large-scale data pipelines, develop the DBT setup for data transformation and solve customer problems using your SQL skills.

The Senior Data Engineer will develop and manage data pipelines, ensure data quality, troubleshoot issues, and drive integration best practices within Azure and SQL environments.

This role involves preparing proposals, understanding client requirements, assisting in technical solution design, and supporting sales teams in AI/Data projects.

Develop and scale data management systems for AutoML and forecasting platforms, ensuring data reliability and implementing SLAs across pipelines.

The Senior Data Platform Engineer will implement and maintain data platform infrastructure, optimize Databricks environments, and provide technical guidance to data engineering teams.

Design, build, and maintain scalable batch and real-time data pipelines on Azure using Kafka, Spark, Databricks and ADF. Optimize Snowflake models and SQL, process structured and semi-structured data, ensure data quality, performance, and collaborate with cross-functional teams.

Design, build, and optimize scalable ELT/ETL pipelines on Azure using ADF and Databricks, integrate data into Snowflake, implement Data Vault 2.0 modelling, ensure data quality and performance, and collaborate with stakeholders and analytics teams to maintain production workflows.

Seeking a Senior Data Engineer with 6+ years of experience to design and optimize data pipelines for intelligent systems, utilizing modern data platforms and cloud services.

The Senior Data Engineer will design and build scalable data platforms and pipelines, utilizing cloud technologies and leading data engineering practices. Responsibilities include maintaining ETL/ELT pipelines, collaborating with stakeholders, and ensuring data quality.

The Senior Data Engineer will build and optimize data pipelines in Azure Databricks, migrate existing pipelines from Azure Synapse, and design scalable data models to support a financial services client's data platform modernization.