Top Data Engineer Jobs in Hyderabad

Design, build, and maintain scalable data solutions on Azure. Collaborate with teams for data requirements, implement ETL processes, and ensure data quality.

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 / Analytics Engineer will build scalable data models and pipelines using dbt and Snowflake while collaborating with stakeholders and engineers.

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

The Data Engineer will manage data ingestion, perform quality control, support data science needs, and integrate third-party data for improved analytics at SkySpecs.

The Data Engineer will design, build, and maintain data pipelines for Data Warehouses, utilizing AWS, GCP, and SQL, while ensuring data quality and implementing CI/CD best practices.

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

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

Seeking a Senior API Developer to design, build, and support scalable APIs. Responsibilities include collaborating with teams, drafting technical requirements, and creating documentation.

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.

The Senior Data Engineer will design, build, and maintain scalable data processing systems, optimizing data pipelines, and collaborating on data architecture.

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.

As a QA Automation Engineer, you'll design and maintain automated test frameworks for data workflows, validate data quality, and ensure reliability across ETL/ELT pipelines while collaborating with data teams.

The Senior Data Engineer will lead data architecture, mentor engineers, implement data solutions, and ensure data governance while collaborating across teams.

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.