Python ETL Developer

Jobgether; United States; Remote; USD 110,000 - 150,000; Full time

Benefits offered by this job

Remote work

Full-time role

Global collaboration

ETL/Python exposure

Job summary

Jobgether is seeking a skilled Data Engineer to develop and maintain applications within the EMC ETL stream and support onboarding processes. The role involves collaborating with global teams to ensure successful data integration and is focused on migrating from Ab Initio to Python within the ETL architecture.

You will perform unit testing, maintain documentation, and provide L3 production support while working with onsite and remote colleagues to ensure consistent development standards and

Qualifications

• Bachelor’s degree required or equivalent practical experience.
• 5+ years of relevant experience in application development or data engineering.
• Strong programming skills in Python and PySpark.
• Good knowledge of SQL and Oracle databases.
• Experience in Unix environments.
• Familiarity with Autosys for job scheduling and workflow automation.
• Knowledge of Kubernetes and its role in deployment and management.
• Understanding of ETL development and data processing concepts.
• Strong written and verbal communication across global teams.
• Ability to collaborate and maintain development standards.

Responsibilities

• Develop, enhance, and maintain applications and systems within the EMC ETL stream.
• Support client onboarding processes and manage reference data domain tables.
• Collaborate with global teams to integrate application data.
• Lead migration from Ab Initio to Python and shape ETL architecture.
• Perform unit testing and maintain technical documentation.
• Coordinate with onsite and remote colleagues to ensure consistent practices.
• Provide ongoing application maintenance and L3 production support.
• Participate in systems analysis, programming, and implementation of new or revised systems.
• Nice to have experience with additional ETL tools and frameworks.

Skills

Python

PySpark

SQL

Unix

Education

Bachelor’s degree

Tools

Autosys

Kubernetes

Oracle

Job description

Accountabilities

• - Develop, enhance, and maintain applications and systems within the EMC ETL stream.
• - Support client onboarding processes and manage reference data domain tables.
• - Collaborate with global application development teams, operations teams, and business partners to integrate application data successfully.
• - Contribute to the strategic migration from Ab Initio to Python, including the setup and development of the ETL architecture.
• - Perform unit testing and maintain appropriate technical documentation in accordance with application development standards.
• - Work closely with onsite and remote colleagues to ensure consistent development practices and implementation approaches.
• - Provide ongoing application maintenance and Level 3 (L3) production support.
• - Participate in application systems analysis, programming activities, and the implementation of new or revised systems.

Requirements:

• - Bachelor's degree, university degree, or equivalent practical experience.
• - At least 5 years of relevant professional experience in application development or data engineering.
• - Strong programming skills in Python and PySpark.
• - Good knowledge of SQL and Oracle databases.
• - Experience working in Unix environments.
• - Familiarity with Autosys for job scheduling and workflow automation.
• - Knowledge of Kubernetes and its role in application deployment and management.
• - Understanding of ETL development and data processing concepts.
• - Strong written and verbal communication skills, with the ability to collaborate effectively across global and distributed teams.
• - Ability to work collaboratively, maintain development standards, and contribute to reliable application delivery.
• Nice to have:
• - Additional experience with ETL data processing tools and frameworks.

Benefits:

• - Remote work: The position is designated as remote.
• - Full-time opportunity: A full-time role within an application development and technology team.
• - Global collaboration: Opportunity to work with international development and operations teams.
• - Technical development: Exposure to Python-based ETL architecture, data integration, and a strategic Ab Initio-to-Python migration initiative.