ETL Developer

A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You’ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you’ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You’ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.

Your Role And Responsibilities

Desire years of experience overall IT: 4-5

Designs, develops, and maintains scalable ETL/ELT data pipelines and applications using Python, Shell scripting, BTEQ using Teradata, Databricks, Snowflake platform. Implements and optimizes SQL across Teradata, Oracle, and other relational databases while contributing to CI/CD automation. Builds and manages cloud infrastructure with AWS and Terraform and leverages AI‑driven productivity tools such as Copilot and Cursor. Ensures best practices in code quality, security, and performance, collaborating with cross‑functional teams to deliver high‑quality, timely solutions.

Additional Technology Skills Desired:

Possesses advanced programming expertise in Python, Shell scripting, and Spark, with strong data engineering proficiency across Databricks, SQL platforms (Teradata, Snowflake, Oracle), and UNIX environments. Experienced in AWS and Terraform for cloud infrastructure, along with CI/CD tools and DevOps practices. Skilled in debugging, performance optimization, and leveraging AI productivity tools such as Copilot and Cursor.

Preferred Education

Bachelor's Degree

Required Technical And Professional Expertise

Desire years of experience overall IT: 4-5

Designs, develops, and maintains scalable ETL/ELT data pipelines and applications using Python, Shell scripting, BTEQ using Teradata, Databricks, Snowflake platform. Implements and optimizes SQL across Teradata, Oracle, and other relational databases while contributing to CI/CD automation. Builds and manages cloud infrastructure with AWS and Terraform and leverages AI‑driven productivity tools such as Copilot and Cursor. Ensures best practices in code quality, security, and performance, collaborating with cross‑functional teams to deliver high‑quality, timely solutions.

Additional Technology Skills Desired:

Possesses advanced programming expertise in Python, Shell scripting, and Spark, with strong data engineering proficiency across Databricks, SQL platforms (Teradata, Snowflake, Oracle), and UNIX environments. Experienced in AWS and Terraform for cloud infrastructure, along with CI/CD tools and DevOps practices. Skilled in debugging, performance optimization, and leveraging AI productivity tools such as Copilot and Cursor.

Advanced English.