Elasticsearch Jobs

We are building a HIPAA-compliant healthcare data platform that ingests, enriches, and transforms clinical data from EHR systems, wearables, and external healthcare partners. Our platform: • Ingests raw healthcare events • Deduplicates and enriches data • Maps data into standardized formats • Separates PHI/PII from clinical data • Routes processed data into analytics and care coordination systems We are looking for a highly experienced senior full-stack developer to take ownership of our core backend platform. This is not a junior or mid-level role. You will be the primary engineer across two production services running on Google Cloud Platform. Tech Stack • Node.js (Express) • Python (Flask) • PostgreSQL (Cloud SQL) • BigQuery • GCP ...

I have a legacy app in Java Struts and need help with supporting and maintaining it. Its done with legacy JS for front end and used Java Struts + Hibernate connecting to mysql and elastic search for the backend.

I need an Elasticsearch cluster set up to store and manage log data. On premises Requirements: - Install and configure a new Elasticsearch cluster from scratch. - Ensure the setup is optimized for log data ingestion and querying. - Provide basic documentation for accessing and managing the cluster. Ideal Skills and Experience: - Proven experience with Elasticsearch installation and configuration. - Strong understanding of log data and its requirements. - Good documentation skills. Install on premises on windows servers

I’m looking for a data engineer who can take full ownership of a daily web-scraping workflow aimed at ongoing market research. The job centers on extracting selected data points from public web pages, transforming them into a clean, structured format, and making them available for analysis every 24 hours. Here’s what I need you to handle from end to end: • Source acquisition – fetch HTML from the URLs I provide, even when content is hidden behind JavaScript (a headless browser such as Playwright or Selenium is fine). • Parsing & cleansing – pull the specific fields I’ll list (product name, price, SKU, availability, and a time-stamp), remove duplicates, and standardize values. • Storage & delivery – load the daily output into ...

I have an existing analytics initiative that now needs a dedicated Redshift-based warehouse. The core objective is to design and implement a robust schema in Amazon Redshift, then ingest data coming from three different sources—our operational SQL databases, a set of RESTful APIs, and periodic flat-file drops in CSV or JSON. Here is what I’m aiming for: • A well-structured Redshift warehouse (star or snowflake schema, whichever is most appropriate) built to scale and documented clearly. • Reliable, automated ingestion pipelines for each source type. For SQL we currently use PostgreSQL and MySQL; for APIs the payloads are mostly JSON; the flat files live in S3. • Transformations that standardise data types, handle slowly changing dimensions, and enforce dat...