Jalasoft

Jalasoft is a world-class technology company with over 20 years of experience in nearshore software development and staff augmentation. They offer Xian Suite, a comprehensive systems management solution, and provide software solutions for small startup...

Internet Software & Services

Information Technology

1K-5K (1750)

Founded 2001

19 open positions

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Senior Data Engineer - AWS & RAG Pipelines

3 hours, 37 minutes ago

Argentina, Bolivia, Brazil, Peru, Colombia, Dominican Republic

Full-time

Senior

AI Engineer

Data Science and Analytics

AWS C# Datadog Elasticsearch Generative AI Google Analytics Hotjar Java .NET Node.js OpenSearch OpenTelemetry PostgreSQL Python

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Jalasoft

Internet Software & Services

1K-5K

Founded 2001

View All Jobs 19

Description

Architect and operate production-scale data lakes and storage tiers on AWS.
Build and maintain real-time ingestion, observability, and log analytics pipelines.
Own vector search and embedding layers that support RAG systems and autonomous agents.
Design and manage event streaming and data ingestion from production systems.
Develop and optimize OpenSearch and Elasticsearch workloads for lexical and vector search.
Build and maintain AI/LLM data pipelines using Amazon Bedrock and foundational models.
Implement software engineering components and API ingestion services for data workflows.
Support ETL/ELT pipelines for structured and unstructured data from internal and external sources.
Collaborate on data enrichment, classification, semantic parsing, and indexing workflows.

Requirements

7+ years of experience in Data Engineering, Distributed Systems, or Data Architecture.
4+ years architecting production-scale data lakes, storage tiers, and event streaming solutions.
2+ years building RAG systems, managing embeddings, and orchestrating foundational models.
Strong proficiency in AWS data lake architecture and storage.
Strong proficiency in real-time observability and log analytics.
Strong proficiency in Elasticsearch and OpenSearch optimization, vectorization, and embeddings.
Strong proficiency in Amazon Bedrock and generative AI pipelines.
Strong proficiency in software engineering and API ingestion.
Production-level proficiency in one or more of the following: C# (.NET Core), Java, Python, or Node.js.
Experience with AWS S3 partitioning strategies, lifecycle policies, and columnar formats such as Parquet and Iceberg is preferred.
Experience with AWS Glue Data Catalog and Lake Formation for multi-tenant, fine-grained access control is preferred.
Experience optimizing queries over petabyte-scale datasets using Amazon Athena and Redshift Spectrum is preferred.
Experience configuring distributed oTel collectors for log, trace, and metrics routing into S3 is preferred.
Experience with high-volume streaming of system logs, Datadog captures, and raw server events into S3 is preferred.
Experience with real-time CDC from PostgreSQL using Debezium or AWS DMS is preferred.
Experience with Amazon OpenSearch clusters using simultaneous lexical and high-dimensional vector search is preferred.
Experience with OpenSearch index lifecycle management, sharding strategies, and dynamic mappings at scale is preferred.
Experience with Amazon Bedrock foundational model APIs such as Claude and Titan for enrichment, classification, and semantic parsing is preferred.
Experience with Knowledge Bases for Amazon Bedrock for automatic chunking, metadata extraction, and vector index syncs from S3 is preferred.
Experience building ETL/ELT pipelines that ingest unstructured event data from SaaS APIs such as Pendo, Hotjar, and Google Analytics is preferred.
Experience with MCP server development to expose data lake context and utilities to AI agents is preferred.

Benefits

Remote work.
13 floating holidays.
15 vacation days per year.
Equal opportunity employer commitment with non-discriminatory hiring practices.
Good working environment.

Interested in this position?

Apply directly on the company website

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