Informatica Decom Analysis- Data Engineer (Java, Spring Batch, ETL)- 7 roles at Expert Technolo[...]

Ellenco Estágios e Treinamentos; Smithfield (RI); On-site; USD 120,000 - 160,000; Full time

Job summary

Ellenco Estágios e Treinamentos seeks a Core Data Platform Engineer with Java and Spring Batch expertise to build and maintain a metadata engine and backend services. You will leverage AWS for data workflows and manage SQL-based data stores, while orchestrating batch jobs with enterprise schedulers like Control-M.

Snowflake experience is valued, and Python may be used as needed. You will collaborate with cross-functional teams to deliver scalable data platform solutions in a cloud-first

Qualifications

• Expert-level backend development with Java and Spring Batch.
• Experience building metadata engines and data platforms.
• Proficient in AWS cloud services for data workflows.
• Strong SQL skills with RDBMS management.
• ETL experience with Informatica or similar tools.
• Experience in batch job orchestration with enterprise schedulers (e.g., Control-M).
• Snowflake data warehousing and pipeline experience.
• Python skills for data engineering when Java not used.

Responsibilities

• Build and maintain a custom metadata engine to replace Informatica.
• Develop backend solutions using expert-level Java and Spring Batch framework.
• Utilize AWS cloud services for data engineering workflows.
• Perform complex SQL operations and manage RDBMS databases.
• Leverage ETL experience for data integration processes.
• Integrate and orchestrate batch jobs with enterprise schedulers (e.g., Control-M).
• Work with Snowflake for data warehousing and data pipeline solutions.
• Apply Python skills where applicable.

Skills

Java

Spring Batch

SQL

ETL

Python

Tools

Control-M

Snowflake

Informatica

AWS

Job description

Job Summary (Core Data Platform Engineer - Java/Framework Heavy, Cloud Data Engineer):

• Build and maintain a custom metadata engine to replace Informatica.
• Develop backend solutions using expert-level Java and Spring Batch framework.
• Utilize AWS cloud services for data engineering workflows.
• Perform complex SQL operations and manage RDBMS databases.
• Leverage ETL experience (Informatica or other tools) for data integration processes.
• Integrate and orchestrate batch jobs with enterprise schedulers (e.g., Control-M).
• Work with Snowflake for data warehousing and data pipeline solutions.
• Apply Python skills where applicable (if not using Java).
• Collaborate with cross-functional teams to deliver scalable data platform solutions.
• No background check or drug screen required.