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Data Engineer (Java, Spring Batch, ETL) - Onsite

MSYS Inc.
Smithfield, RI, United States
about 2 months ago
Apply on www.juju.com
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Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source
www.juju.com

Tech stack

Java (Programming Language) Amazon Web Services Cloud Database Extract Transform Load (ETL) Relational Databases Python (Programming Language) Metadata SQL Databases Systems Integration Snowflake Core Data Spring Batch
+1 more
Control M

Requirements

  • Core Languages: Expert-level Java with Spring Batch, AWS with solid SQL, RDBMS skills.

  • Good skills in Python if Not Java

  • Experience with ETL (Informatica or other), Snowflake

  • Orchestration: Experience integrating batch jobs with enterprise schedulers like Control-M.

Job Responsibilities

Core Data Platform Engineer (Java/Framework Heavy), Cloud data engineer

Focuses on building the custom metadata engine that replaces Informatica.

Technical Skills Required

  • Core Languages: Expert-level Java with Spring Batch, AWS with solid SQL, RDBMS skills.

  • Good skills in Python if Not Java

  • Experience with ETL (Informatica or other), Snowflake

  • Orchestration: Experience integrating batch jobs with enterprise schedulers like Control-M.

Apply for this position

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

Apply on www.juju.com
Prepare application

Good distractions

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

Moments

Explore playlists

1:47 min

Comparing Egeria to alternative open metadata solutions

Ferd Scheepers · World Congress 2022

1:33 min

Integrating internal APIs and maintaining data sovereignty

Mahran Meißner Mahran Meißner · World Congress 2026 Europe

4:21 min

Challenges of traditional mobile data synchronization

Timothy Marland · World Congress 2023

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

2:08 min

Creating standard APIs via the Egeria open metadata project

Ferd Scheepers · World Congress 2022

2:57 min

Core technical practices for robust data engineering

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

Videos

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From Messy Queries to Scalable Systems - How Data Engineering actually works thumbnail
31:15
World Congress 2026 Europe • about 2 months ago

From Messy Queries to Scalable Systems - How Data Engineering actually works

Sandhya Menon

A Data Mesh needs Open Metadata thumbnail
38:36
World Congress 2022 • about 4 years ago

A Data Mesh needs Open Metadata

Ferd Scheepers

How Cisco embraced a DevOps culture within its network engineering team thumbnail
39:38
LIVE • over 5 years ago

How Cisco embraced a DevOps culture within its network engineering team

Stuart Clark

Hacking AI at the Edge of the Indian Ocean thumbnail
29:03
World Congress 2026 Europe • about 2 months ago

Hacking AI at the Edge of the Indian Ocean

Anastasiia Stefanska, James Cha-Earley

Bringing Clarity to Event Streams: Enabling Analytics and AI Through Rich Metadata thumbnail
32:12
World Congress 2025 • about 1 year ago

Bringing Clarity to Event Streams: Enabling Analytics and AI Through Rich Metadata

Clemens Vasters

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

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