WeAreDevelopers Logo WeAreDevelopers
Sign in
For You LIVE
Back

SnapLogic Developer (HVR)

RJT Compuquest, Inc.
San Diego, CA, United States
about 1 month ago
Apply on www.indeed.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
$145,600.0 - $166,400.0
Working hours
Regular working hours
Job source
www.indeed.com

Tech stack

Application Programming Interfaces (APIs) Databases Relational Databases Standard Sql Informatica Cloud Change Data Capture Real Time Data Database Replication Data Pipelines

Job description

We are looking for a SnapLogic Developer with experience in HVR to design, develop, and maintain data integration and replication solutions. The ideal candidate should have hands-on experience building SnapLogic pipelines, integrating diverse data sources, and implementing real-time data replication using HVR., * Design, develop, and maintain SnapLogic integration pipelines.

  • Implement and manage real-time data replication using HVR.
  • Integrate cloud and on-premises applications, databases, and APIs.
  • Monitor, troubleshoot, and optimize data integration workflows..

Requirements

  • Hands-on experience with SnapLogic Integration Platform.
  • Experience with HVR for data replication and change data capture (CDC).
  • Strong knowledge of SQL and relational databases.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.indeed.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

Explore playlists

2:21 min

Handling latency and synchronization for remote data sources

Andrey Abramov Andrey Abramov · World Congress 2026 Europe

2:36 min

Modern application stacks and real-time data requirements

Tim Faulkes · LIVE

4:06 min

Using ClickHouse as a foundation for fast analytics

Hellmar Becker Hellmar Becker · World Congress 2026 Europe

3:04 min

Database evolution and the funding behind vector databases

Erik Bamberg · LIVE

2:15 min

Integrating natively with multiple structured database variations

Patrick Koss Patrick Koss · World Congress 2024

2:21 min

Rise of Python in real-time data processing

Bobur Umurzokov · LIVE

Videos

See all
Kubernetes and Microservices with Multi-Model Databases thumbnail
29:30
World Congress 2022 • about 4 years ago

Kubernetes and Microservices with Multi-Model Databases

Wei Hu

How building an industry DBMS differs from building a research one thumbnail
30:34
World Congress 2023 • almost 3 years ago

How building an industry DBMS differs from building a research one

Markus Dreseler

Python-Based Data Streaming Pipelines Within Minutes thumbnail
39:04
LIVE • almost 2 years ago

Python-Based Data Streaming Pipelines Within Minutes

Bobur Umurzokov

Database Magic behind 40 Million operations/s thumbnail
24:22
World Congress 2023 • almost 3 years ago

Database Magic behind 40 Million operations/s

Jürgen Pilz

OLTP in the Lakehouse: Redefining Data for AI Workloads thumbnail
24:36
Europe 2026 Virtual • 2 months ago

OLTP in the Lakehouse: Redefining Data for AI Workloads

Oleksandra Bovkun

Leveraging Real time data in FSIs thumbnail
41:51
LIVE • almost 3 years ago

Leveraging Real time data in FSIs

Tim Faulkes

Related articles

See all