Top Data Engineer Jobs in Gurgaon

Data Engineer responsible for building and maintaining ETL pipelines, data processing workflows, and data platforms. Must have strong hands-on experience with Healthcare Revenue Cycle Management and understanding of healthcare data workflows. Role requires hybrid (onsite + offshore) work and immediate availability.

Build and prepare data pipelines: mapping, cleansing, transformation, integration, and wrangling using Python and SQL. Perform feature engineering for structured and unstructured data and support API and web app deployment for data products.

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.

The Data Engineer will design and maintain data models, develop BI solutions, integrate data, and optimize data flows while collaborating with stakeholders.

As a Data Engineer, you'll optimize data pipelines and models using PySpark, SQL, and GCP. Responsibilities include processing large datasets and designing enterprise-scale data platforms.

The role involves designing and building data systems using various technologies, especially within Microsoft Azure, and requires experience in system integration and data warehousing.

Design, build, and maintain scalable batch and real-time data pipelines and ingestion frameworks. Develop modular, tested ETL/ELT transformations with dbt, ensure data quality, modeling, governance, lineage, and security. Monitor, troubleshoot, and optimize pipelines while collaborating with analytics, data science, and product teams to deliver production-ready data for reporting and advanced analytics.

Design, build, and maintain scalable batch and real-time data pipelines and ingestion frameworks. Develop modular ELT/ETL transformations with dbt, ensure data quality, model data for analytics, monitor pipelines, troubleshoot performance issues, and implement governance, lineage, and documentation to enable analytics and data science teams.

We are seeking Data Engineers to migrate dashboards from Hadoop to GCP, ensuring data consistency, accuracy, and collaborating with cross-functional teams.

Design, build, and maintain scalable Azure-based data pipelines and systems (Databricks, Data Lake, Synapse, ADF). Collaborate with cross-functional teams, ensure data quality and integrity, optimize performance, monitor and troubleshoot systems, and stay current with industry trends to improve solutions.

The role involves data modeling, troubleshooting complex issues, optimizing storage architectures and mentoring junior engineers while working with GCP and Python.

The Data Engineer will design, build, and maintain ETL pipelines and data products, utilizing big data technologies and ensuring efficient data architecture. Responsibilities include troubleshooting complex issues, developing scalable solutions, and managing databases and data security compliance.

As a Data Engineer, you will design, build, and maintain scalable data platforms and pipelines, optimizing workflows and ensuring security.

The Associate Data Engineer will assist in building and maintaining data pipelines, writing SQL queries, and ensuring data quality using tools like Snowflake and Matillion.

Lead the maintenance and expansion of reporting platforms, develop data transformations in SQL, manage junior engineers, and ensure data quality on Google Cloud Platform.

As a Senior Analyst-Data Engineer, you will design, develop, and optimize data pipelines, ensure data quality and transform marketing data into insights.

The Senior Azure Data Engineer will design, develop, and maintain data infrastructure and pipelines, ensuring data quality, integrity, and alignment with business objectives. Responsibilities include collaborating with teams and establishing best practices for data engineering.

The Data Engineer will translate analytical requirements into scalable data products, handle data modeling in Snowflake using dbt, manage data pipelines with Airflow, ensure data quality, and collaborate with cross-functional teams.

Contribute to data platform blueprint and design, integrate platform components with systems and data models, apply Generative/Agentic AI solutions, troubleshoot integration and performance issues, support scalability and governance, document designs, and mentor junior team members.

The Senior Data Engineer at WPP Media will work with AI-driven media solutions, focusing on data integration and optimization to enhance client media investments and experiences.

The Senior Data Engineer will build and maintain data lakes, data warehousing solutions, and oversee the data pipeline lifecycle in a B2B multi-tenant SaaS solution, including coding, monitoring performance, and collaborating with teams.

The Senior Data Engineer will design and maintain data lake and warehousing solutions, lead development initiatives, and collaborate cross-functionally to enhance data governance and pipeline efficiency.

The Staff Data Engineer will develop and maintain data lakes and warehouses, mentor team members, enhance data governance, and ensure quality in data processes.

Design, build, and optimize scalable ETL/ELT pipelines and big-data processing on Databricks using PySpark. Implement orchestrated workflows (Airflow/Dagster/Prefect), ensure data quality/security, enable analytics and ML, and contribute to CI/CD and DevOps practices for data platforms on AWS (Redshift, Glue, S3, Lambda).

The Azure Data Engineer will build data pipelines and dataflows, implement security modules, and work with Azure services while supporting business requirements and data analysis.