Roles remotos de SQL para candidatos en India.

Develop and maintain scalable data pipelines to support business requirements.

• Senior
• Azure
• Python
• Spark
• +1

Design, implement, and maintain ETL/ELT pipelines that pull and merge data from multiple internal and external systems, ensuring clean, reliable, and scalable data flows across the organization.

• Senior
• AWS
• CI/CD
• Docker
• +5

Build and maintain data marts, materialized views, and data pipelines within an AWS Aurora PostgreSQL environment

• Middle
• AWS
• PostgreSQL
• SQL

Partner with technical and non-technical stakeholders to translate business requirements into scalable, reliable, and maintainable data engineering solutions.

• Middle
• AWS
• Azure
• Python
• +2

Data platform architecture: ingestion patterns, warehouse design, environment strategy, orchestration, access governance, and reliability standards.

• Senior
• Azure
• CI/CD
• Snowflake
• +1

Build and maintain end-to-end pipelines in the Azure stack, ingesting source data into the Data Lake and Azure SQL, orchestrated with Azure Data Factory.

• Senior
• Azure
• SQL

Working with product team to bring an idea to reality

• Lead
• SQL

Design, build, and maintain scalable batch and real-time data pipelines using Maxwell, Kafka, Spark, and dbt to power analytics and business-critical applications.

• Middle
• CI/CD
• Python
• Spark
• +1

Design, implement, and optimize Elasticsearch clusters for high-performance querying and data retrieval.

• Middle
• AWS
• Azure
• GCP
• +6

Design and implement core components of our data pipelines and services in Go and Scala, with a focus on scalability, performance, and long-term maintainability.

• Senior
• Docker
• Kubernetes
• PostgreSQL
• +2

Architect a greenfield, multi-layer data warehouse (raw, refined, serving) that separates analytical workloads from production OLTP traffic.

• Senior
• AWS
• Azure
• CI/CD
• +2

Lead, mentor, and manage a team of Data Engineers to deliver high-quality data solutions.

• Senior
• AWS
• Docker
• Java
• +4

Architect, design, and implement end-to-end data solutions using Azure Databricks, PySpark, Azure Data Factory, and Azure SQL.

• Senior
• Azure
• CI/CD
• REST
• +2

Design, develop, and maintain scalable data pipelines and ETL/ELT workflows on AWS.

• Senior
• AWS
• CI/CD
• Python
• +2

Bachelor's degree and 8+ years of technical experience in data engineering OR Master's degree and 4+ years of experience.

• Senior
• AWS
• Azure
• GCP
• +2

Understanding the business requirements

• Senior
• MongoDB
• Python
• Snowflake
• +1

Design and Build:Develop and implement scalable, secure, and cost-effective cloud-based data solutions.

• Senior
• GCP
• Python
• SQL

Design and build scalable data engineer services that power analytics, reporting, machine learning, and AI workloads across Maropost products.

• Senior
• GCP
• LLM
• PostgreSQL
• +3

Architect Scalable Pipelines: Oversee the design and deployment of large-scale distributed data processing jobs using PySpark on Amazon EMR clusters and serverless AWS Glue ETL jobs.

• Lead
• AWS
• Python
• Spark
• +1

Build and maintain robust data pipelines processing large volumes of data

• Senior
• AWS
• Azure
• Python
• +1

Design and maintain Snowflake data models that support customer engagement, reporting, and audience activation

• Senior
• Salesforce
• Snowflake
• SQL

The Snowflake platform is scalable, performant, secure, cost-efficient, and trusted across the organisation.

• Senior
• AWS
• Azure
• CI/CD
• +4

Large scale data pipelines built for the investor team supporting applications, feeds, and insight agents.

• Lead
• SQL