Top AWS Jobs in Chennai

Designs application data structures, storage, integrations, and scalable Databricks ETL/ELT pipelines. Builds secure Delta Lake and DLT workflows, configures Unity Catalog, implements data sharing and BI integrations, prepares AI-ready datasets, and optimizes cloud-based processing for cost and reliability. Requires strong Python, PySpark, data modeling, cloud, and Databricks expertise, with collaboration across stakeholders and development teams.

Builds, maintains, and optimizes scalable batch and real-time data pipelines using Databricks, PySpark, Spark, Python, and cloud platforms. Develops ETL/ELT processes, data lakes, ingestion strategies, and Big Data frameworks. Collaborates with architects, data scientists, analysts, and engineers to ensure data accuracy and availability. Supports performance tuning, governance, security, orchestration, and deployment of cloud-native data solutions.

Design and implement scalable data architectures, ETL/ELT pipelines, storage, integrations, and data models using Databricks. Build secure Delta Live Tables pipelines, configure Unity Catalog, implement data sharing, optimize workloads, and support BI and generative AI datasets. The role requires Python and PySpark development, cloud-platform expertise, performance tuning, CI/CD deployment, data governance, and collaboration with stakeholders to deliver reliable, efficient, and secure data solutions.

Review and integrate application and technical architecture requirements across security, integration, performance, quality, and operations. Design and implement Databricks data ingestion and end-to-end pipelines from multiple sources using cloud platforms, ETL, data engineering, and programming languages such as Python, PySpark, or Scala. Lead solution workshops, support RFP pursuits, engage clients, and coordinate multiple stakeholders while delivering data-driven technical solutions.

Designs application data architectures, storage, integration, and scalable Databricks ETL/ELT pipelines. Builds secure Delta Live Tables and Auto Loader workflows, configures Unity Catalog, implements data sharing and BI integrations, and optimizes cloud-based processing. Develops Python and PySpark transformations, PII masking, validation, observability, and GenAI-ready datasets. Collaborates with stakeholders to deliver reliable, governed, cost-efficient data platforms through CI/CD.

Designs and integrates technical and application architecture requirements across security, performance, quality, integration, and operations. Develops Databricks data ingestion and end-to-end pipelines from multiple sources, using Python, PySpark, or Scala in cloud environments. Provides data engineering and cloud architecture solutions, leads client workshops and RFP pursuits, and manages stakeholders while advising on infrastructure, software, networking, and security decisions.

Leads enterprise-scale Databricks lakehouse architecture and implementation, designing governed data platforms, scalable ETL/ELT pipelines, data models, integrations, security policies, and real-time analytics. Collaborates across data science, analytics, and platform teams while providing client leadership, execution ownership, performance optimization, and technical guidance on Unity Catalog, Delta technologies, data sharing, BI integrations, and advanced AI capabilities.

Design and implement scalable data architectures, ETL/ELT pipelines, and Databricks-based data platforms. Build secure Delta Live Tables workflows, configure Unity Catalog, manage data sharing and integrations, optimize performance and costs, and prepare datasets for analytics and generative AI. Collaborate with stakeholders to ensure robust data modeling, governance, observability, and reliable delivery through cloud-based CI/CD practices.

Designs and governs application data architecture, including scalable storage, integration, ETL/ELT, and Databricks-based pipelines. Builds secure Delta Lake and DLT workflows, configures Unity Catalog, implements data sharing and PII controls, and integrates analytics tools. Develops Python and PySpark transformations, optimizes cloud workloads, prepares AI-compatible datasets, and deploys pipelines through CI/CD. Collaborates with stakeholders to ensure reliable, observable, cost-efficient data platforms aligned with business objectives.

Leads enterprise-scale data platform and lakehouse architecture initiatives using Databricks. Designs scalable ingestion, transformation, governance, security, data sharing, and reporting solutions across cloud platforms. Provides hands-on guidance with Python, PySpark, Delta Lake, Unity Catalog, and Databricks advanced capabilities while collaborating across data science, analytics, and platform teams. The role also includes client leadership, execution ownership, thought leadership, and people development.

The Data Architect will define and implement scalable data architectures, ETL/ELT pipelines, storage, integrations, and data governance using Databricks. Responsibilities include developing Delta Lake, Auto Loader, and DLT pipelines; implementing Unity Catalog security and PII masking; optimizing cloud-based workloads; integrating BI tools; preparing GenAI datasets; and deploying through CI/CD. The role requires strong Python, PySpark, cloud, data modeling, warehousing, and performance optimization skills.

Builds, maintains, and optimizes scalable batch and real-time data pipelines using Databricks, Spark, PySpark, and cloud platforms. Develops ETL/ELT and ingestion processes, supports data lakes and Big Data frameworks, tunes performance, and maintains governance and security practices. Collaborates with architects, data scientists, analysts, and engineers to ensure reliable data integration, accuracy, and availability.

Designs application data architecture, including data models, storage, integration, and scalable ETL/ELT pipelines. Builds Databricks-based pipelines using Delta Lake, Auto Loader, and DLT; develops Python and PySpark transformations; configures Unity Catalog security, governance, masking, lineage, and data sharing; integrates BI tools; prepares GenAI datasets; and deploys pipelines through CI/CD. The role also optimizes performance and cloud costs while ensuring data quality, observability, and SLA reliability.

Build, maintain, and optimize scalable batch and real-time data pipelines using PySpark, Spark, Python, and cloud platforms. Develop ETL/ELT processes, data ingestion strategies, data lakes, and Big Data frameworks. Collaborate with data scientists, analysts, and engineers to ensure data quality and availability. Tune performance, maintain reusable code, and support governance, security, CI/CD, and cloud-native data solutions.

Design and implement scalable data architectures, ETL/ELT pipelines, storage, integrations, and data models using Databricks. Build secure Delta Lake and DLT pipelines, configure Unity Catalog, implement data sharing and governance, integrate BI tools, prepare AI datasets, and deploy through CI/CD. Optimize performance, cost, observability, and reliability while collaborating with stakeholders to support data-driven business objectives.

Build, maintain, and optimize scalable data pipelines and ETL/ELT processes using PySpark, Spark, Python, and cloud platforms. Support data lakes, big data frameworks, real-time streaming, batch processing, data ingestion, governance, and security. Collaborate with data scientists, analysts, and engineers to ensure data availability and accuracy. Tune pipeline performance, troubleshoot issues, and contribute to cloud-native data architecture and DevOps practices.

Design and govern scalable data architectures using Databricks, including ETL/ELT pipelines, Delta Lake, Auto Loader, DLT, Unity Catalog, and Delta Sharing. Build secure, observable, and optimized data platforms across cloud environments, implement data modeling and warehousing practices, and integrate BI tools. Develop reusable Python and PySpark transformations, support GenAI datasets and vector search, configure CI/CD deployments, and troubleshoot pipeline performance, reliability, and cost.

Designs and implements scalable data architectures, ETL/ELT pipelines, and secure Databricks solutions. Responsibilities include building Delta Lake and DLT pipelines, configuring Unity Catalog, implementing data sharing and governance, integrating BI tools, preparing GenAI datasets, deploying through CI/CD, and optimizing performance and costs. The role requires collaboration with stakeholders to ensure reliable, secure, and efficient data platforms.

Build, maintain, and optimize scalable batch and real-time data pipelines using Python, PySpark, Spark, and cloud platforms. Develop ETL/ELT processes, data ingestion strategies, data lakes, and Big Data frameworks. Collaborate with architects, analysts, data scientists, and engineers to ensure data accuracy and availability. Support streaming workloads, Spark performance tuning, governance, security, orchestration, and CI/CD practices across cloud environments.

Leads the architecture and implementation of enterprise Databricks lakehouse platforms. Designs scalable data ingestion, transformation, governance, security, anonymization, sharing, and analytics solutions using technologies such as Delta Lake, Unity Catalog, DLT, and PySpark. Provides hands-on technical leadership, performance optimization, cloud guidance, client engagement, cross-functional coordination, and people development. Integrates governed data platforms with BI tools and advances capabilities including Mosaic AI, Vector Search, and Model Serving.

Designs application data structures, storage, integrations, and scalable Databricks ETL/ELT pipelines. Builds secure Delta Live Tables workflows, Unity Catalog governance, data-sharing solutions, dashboards, and GenAI-ready datasets. Develops Python and PySpark transformations, optimizes cloud-based processing, and supports CI/CD deployment through Databricks Asset Bundles. Collaborates with stakeholders to ensure reliable, observable, cost-efficient data architecture aligned with business objectives.

Leads enterprise-scale Databricks lakehouse architecture and implementation, including data ingestion, transformation, governance, security, sharing, performance optimization, and BI integration. Designs scalable pipelines using Python, PySpark, Delta Lake, Auto Loader, and Delta Live Tables. Establishes Unity Catalog governance, privacy controls, and cross-platform access. Provides client leadership, technical guidance, people development, and thought leadership on advanced Databricks, AI, and data product capabilities.

Designs and implements scalable data architectures, ETL/ELT pipelines, and secure Databricks solutions. Responsibilities include developing Delta Lake, Auto Loader, and DLT pipelines; configuring Unity Catalog, data sharing, and PII controls; integrating BI tools; preparing AI-ready datasets; deploying through CI/CD; and optimizing cloud-based workloads for performance, cost, observability, and reliability.

Designs, builds, maintains, and optimizes scalable data pipelines and ETL/ELT processes using Databricks, PySpark, Spark, and cloud platforms. Supports data lakes, batch and real-time processing, ingestion strategies, governance, security, and performance tuning. Collaborates with data scientists, analysts, and engineers to ensure reliable data availability and accuracy while contributing to cloud deployments, reusable code, and modern data engineering practices.

Design, implement, and maintain scalable AWS infrastructure; automate with Terraform/CloudFormation/CDK; build CI/CD and GitOps pipelines; manage Kubernetes/Docker clusters; implement monitoring with Prometheus/Grafana/OpenTelemetry; troubleshoot production incidents, perform RCA, and improve reliability; script automation in Python/Go/Shell; support HA, DR, capacity planning, and maintain runbooks.