Join Kraken's Finance Data Eng & Analytics team to design, build and maintain automated, tested finance data products and pipelines (using SQL, Python, dbt, Spark, Airflow, etc.). Responsibilities include partnering with Finance on reconciliations and month-end close, improving data timeliness and quality, building dashboards, and applying automation and AI-assisted tools to reduce manual work. Requires 7+ years in data analytics/data management in financial or regulated industries and direct experience with finance/accounting data.

Coforge busca un Ingeniero de Datos con al menos 3 años de experiencia en modelamiento de datos y gestión de entornos analíticos. Responsabilidades incluyen diseñar modelos dimensionales y analíticos con Erwin para Data Lake y Lakehouse, modelar estructuras SDS y DATAENTRY, manipular datos con Oracle/Impala/Hive/Databricks/Azure, y participar en ceremonias Scrum y gestión en Jira. Conocimientos requeridos: Erwin, modelamiento dimensional, Python, SSIS/SSAS/SSRS, HDFS, Hive, Spark, y experiencia con Azure/AWS/Google Cloud. Modalidad híbrida en Lima, Perú.

Define and implement end-to-end test strategies for Databricks pipelines, dbt models, Delta tables, APIs and downstream analytical products. Build and maintain Python/PyTest automation, dbt tests and CI/CD quality gates to validate Bronze-to-Silver-to-Gold transformations and pricing/rating data (including Earnix). Requires 7+ years in quality engineering/test automation with strong Databricks, dbt, Python, SQL, Delta Lake, PySpark and data-quality testing experience.

Hiring a Senior SDET (7+ years) to define and implement end-to-end test strategies for Databricks pipelines, dbt models, Delta tables, APIs, and downstream analytical products. Build and maintain automation frameworks using Python/PyTest, SQL, and dbt tests; validate Bronze-to-Silver-to-Gold transformations, perform source-to-target reconciliation and data-quality testing, embed quality gates into CI/CD, and support defect investigation and root-cause analysis. Relevant technologies: Databricks, dbt, Delta Lake, PySpark, Earnix, CI/CD, Git, and data-quality tools (e.g., Great Expectations, Soda, Deequ).

Senior SDET responsible for defining and implementing end-to-end test strategies for Databricks pipelines, dbt models, Delta tables, APIs and downstream analytics. Build maintainable automation frameworks using Python, PyTest, SQL and dbt tests; validate Bronze-to-Silver-to-Gold transformations, perform source-to-target reconciliation and data-quality testing, and embed quality gates into CI/CD. Requires 7+ years in Quality Engineering/Test Automation with hands-on Databricks, dbt, Delta Lake, PySpark, CI/CD and experience testing pricing/rating data (Earnix preferred).

Hiring a Senior SDET to define and implement end-to-end test strategies for Databricks pipelines, dbt models, Delta tables, APIs, and downstream analytical products. Responsibilities include building Python/PyTest automation frameworks, validating Bronze-to-Silver-to-Gold transformations, embedding quality gates into CI/CD, and performing data-quality and reconciliation testing. Required: 7+ years in quality engineering/test automation with strong Databricks, dbt, Python, SQL, PySpark, CI/CD, and data-quality testing experience; Earnix or pricing-engine testing experience is preferred.

Design and build RAG and enterprise search architectures, including ingestion, transformation, enrichment, document extraction, embedding, and indexing pipelines (Databricks). Maintain Azure AI Search and vector indexes, implement Azure Document Intelligence pipelines, and design/maintain knowledge graph models (Neo4j). Requires 5+ years in data/search/knowledge platform roles and strong experience with metadata, lineage, governance, and secure retrieval patterns.

Hire for a Senior Data & Knowledge Engineer role (5+ years) to design RAG/enterprise search architectures, implement Azure Document Intelligence pipelines, build Databricks-based ingestion/transformation/enrichment/embedding pipelines, maintain Azure AI Search and vector indexes, and design/maintain knowledge graphs (e.g., Neo4j). The role covers metadata, lineage, data quality, governance, secure retrieval, and optimizing retrieval relevance.

Design and build RAG and enterprise search architectures, ingestion/transformation/enrichment/document extraction pipelines using Databricks; implement Azure Document Intelligence; build and maintain Azure AI Search and vector-search indexes; design and maintain knowledge graph models (e.g., Neo4j); ensure metadata, lineage, data freshness, citations, and secure/access-controlled retrieval. Required 5+ years in data/search/knowledge engineering and strong hands-on experience with Azure Document Intelligence, Azure AI Search, Databricks, SQL, vector search, embeddings, RAG, and knowledge graphs.

Remote role (locations listed: Costa Rica, Peru, Colombia, Bolivia). Requires 5+ years in data/search/knowledge engineering, hands-on experience with Azure Document Intelligence, Azure AI Search, Databricks, SQL, vector search/embeddings, RAG architectures, and designing/maintaining knowledge graphs (e.g., Neo4j). Responsibilities include building ingestion/transformation/enrichment/indexing pipelines, implementing secure retrieval and metadata/lineage practices, and optimizing retrieval relevance and knowledge quality.

Design and implement production-grade data pipelines and governed data products using Azure Databricks, dbt, Python/PySpark, SQL and Delta Lake. Build Silver/Gold data models for insurance pricing/rating data, implement Lakehouse practices (data quality, observability, governance with Unity Catalog), optimize platform performance, and support CI/CD, monitoring and production incidents. Collaboration with pricing, actuarial, underwriting, Data Science, BI and other teams. Preferred experience with Earnix and insurance/pricing data.

Hiring a Senior Data Engineer with 7+ years' experience to design, develop and optimize production-grade data pipelines and governed data products using Azure Databricks, dbt, Python/PySpark, SQL and Delta Lake. Responsibilities include building Silver/Gold data models for insurance pricing/rating data, implementing Lakehouse practices (data quality, observability, governance with Unity Catalog), performance optimization, CI/CD integration, and cross-team collaboration. Remote role covering Costa Rica, Peru, Colombia, and Bolivia.

Hire a Senior Data Engineer with 7+ years' data engineering experience to design, develop and optimize production-grade data pipelines and governed data products on Azure Databricks. Responsibilities include building Silver/Gold data models for insurance pricing, implementing Lakehouse engineering practices (data quality, observability, governance with Unity Catalog), performance optimization, and collaborating with pricing, actuarial, underwriting, Data Science and BI teams. Preferred experience: Earnix or other pricing engines, insurance data, Dataiku/MLflow, Kafka/Event Hubs, REST APIs, Power BI, Terraform.

Coforge is hiring a Senior Data Engineer (Earnix) to design, develop and optimize production-grade data pipelines and governed data products on Azure Databricks and Lakehouse patterns. Responsibilities include building Silver/Gold data models for insurance pricing data, implementing data quality, observability and governance (Unity Catalog), performance optimization, and providing technical leadership (code/design reviews, mentoring). Required tech: Azure Databricks, dbt, Python/PySpark, SQL, Delta Lake, CI/CD, Git, and related cloud/integration patterns. Preferred experience includes Earnix or other pricing engines, insurance/actuarial data, Dataiku/MLflow, Kafka/Event Hubs, Power BI, and Terraform.

Hiring a Senior Data & AI Engineer with 7+ years of software engineering experience to design, develop, and maintain AI-powered applications and scalable data platforms. Key technologies include Python, SQL, AWS, Databricks, Apache Spark, DBT, TypeScript and LLM/Generative AI frameworks. Role is remote and explicitly lists Costa Rica, Peru, Colombia, and Bolivia as locations.

Senior Data & AI Engineer responsible for designing, developing, and maintaining AI-powered applications and backend services (Python/TypeScript/AWS), building scalable data ingestion and transformation pipelines (Databricks, Spark, DBT), and defining data architectures, governance, quality, monitoring, and observability. Requires 7+ years experience and hands-on work with LLM/Generative AI in production. Remote role available in Costa Rica, Peru, Colombia, and Bolivia.

Senior Data & AI Engineer responsible for designing, developing and maintaining AI-powered applications and scalable data pipelines and architectures. Requires 7+ years experience with Python, SQL, cloud-native (preferably AWS) development, Databricks, Apache Spark, dbt, data modeling/governance and production LLM/AI integrations. Remote; locations listed: Costa Rica, Peru, Colombia, Bolivia.

Senior Data & AI Engineer responsible for designing, developing, and maintaining AI-powered applications and scalable data pipelines using Python, TypeScript, AWS, Databricks, dbt, and Apache Spark. Role includes data architecture, modeling, governance, data quality, observability, and collaboration with cross-functional teams. Locations supported: Costa Rica, Peru, Colombia, Bolivia. Remote role.

Hiring Lead Data Engineer to lead and mentor a data engineering team and own end-to-end architecture and implementation of scalable data platforms and pipelines. Responsibilities include driving data migration (Snowflake/SSIS to Azure Databricks/DBT), defining IaC with Terraform, implementing CI/CD, ensuring data quality and observability, and collaborating with stakeholders. Preferred experience includes Kafka/Event Hubs, Delta Live Tables, lakehouse architectures, multi-cloud environments, and insurance/financial services domain knowledge.

Hiring a Lead Data Engineer (8+ years experience, 2–3 years in a lead/staff role) to own end-to-end design and implementation of scalable data platforms and migrations. Key technologies: Azure Databricks, Snowflake, DBT, Python, SQL, Terraform, CI/CD; responsibilities include leading a team, defining data migration strategies (Snowflake/SSIS to Azure Databricks/DBT), IaC, observability, and stakeholder collaboration. Location: remote (Costa Rica, Peru, Colombia, Bolivia).