We are looking for a skilled Data Integration & Data Warehousing Engineer to design, build, and manage scalable data pipelines and enterprise data warehouse solutions using AWS Glue and Informatica.

This role will focus on enabling reliable data ingestion, transformation, modelling, and delivery across the organization while ensuring performance, quality, governance, and scalability.

The ideal candidate should have strong experience in ETL/ELT frameworks, data warehousing design, advanced SQL development, and cloud-based data engineering.

What will you do?

Key Responsibilities 🔹 Data Integration & Pipeline Development Design, develop, and maintain data pipelines using AWS Glue and Informatica (Power Center) Build scalable ETL/ELT workflows for structured data Implement data ingestion from multiple sources (databases, APIs, files, cloud storage, SaaS systems) 🔹 Data Warehousing & Data Modelling Design and implement enterprise data warehouse (EDW) structures Develop and maintain dimensional data models (Star / Snowflake schemas) Build staging, ODS, and presentation layers Optimize data models for reporting and analytics performance Support data mart design aligned to business domains 🔹 SQL Development & Performance Optimization Write complex SQL queries for transformation, validation, and reporting Develop stored procedures, views, and data transformation logic Perform query tuning and performance optimization Implement incremental load logic and data reconciliation checks Ensure efficient handling of large-volume datasets 🔹 Cloud Data Engineering Develop AWS Glue jobs using Py Spark / Spark SQL Manage data workflows across AWS ecosystem (S3, Redshift, IAM, Lambda, etc.) What skills and capabilities will make you successful?

Strong experience with AWS Glue (ETL jobs, workflows, triggers) Hands-on experience with Informatica Power Center Strong expertise in SQL development and performance tuning

Experience: designing and managing data warehouse architectures Proficiency in Python / Py Spark for data processing What's in it for you?

Warehousing Expertise Dimensional modelling (Star / Snowflake schema) Data warehouse lifecycle and architecture Data staging, transformation, and presentation layers Slowly Changing Dimensions (SCD) Fact and dimension design Data mart architecture Who will you report to?

General Manager What qualifications will make you successful for this role?

Bachelor’s or Master’s degree in Engineering, Computer Science, or related field Typically 5+ years experience in data engineering, ETL, or data warehousing roles

Experience: working in enterprise-scale data environments Let us learn about you!

Apply today.

You must submit an online application to be considered for any position with us.

This position will be posted until filled.

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We believe that our IMPACT values – Inclusion, Mastery, Purpose, Action, Curiosity, Teamwork – starts with us. IMPACT is also your invitation to join Schneider Electric where you can contribute to turning sustainability ambition into actions, no matter what role you play.

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This position will be posted until filled.

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We mirror the diversity of the communities in which we operate, and ‘inclusion’ is one of our core values.

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It is our policy to provide equal employment and advancement opportunities in the areas of recruiting, hiring, training, transferring, and promoting all qualified individuals regardless of race, religion, color, gender, disability, national origin, ancestry, age, military status, sexual orientation, marital status, or any other legally protected characteristic or conduct.

We are looking for a skilled Data Integration & Data Warehousing Engineer to design, build, and manage scalable data pipelines and enterprise data warehouse solutions using AWS Glue and Informatica.

This role will focus on enabling reliable data ingestion, transformation, modelling, and delivery across the organization while ensuring performance, quality, governance, and scalability.

The ideal candidate should have strong experience in ETL/ELT frameworks, data warehousing design, advanced SQL development, and cloud-based data engineering.

What will you do?

Key Responsibilities 🔹 Data Integration & Pipeline Development Design, develop, and maintain data pipelines using AWS Glue and Informatica (Power Center) Build scalable ETL/ELT workflows for structured data Implement data ingestion from multiple sources (databases, APIs, files, cloud storage, SaaS systems) 🔹 Data Warehousing & Data Modelling Design and implement enterprise data warehouse (EDW) structures Develop and maintain dimensional data models (Star / Snowflake schemas) Build staging, ODS, and presentation layers Optimize data models for reporting and analytics performance Support data mart design aligned to business domains 🔹 SQL Development & Performance Optimization Write complex SQL queries for transformation, validation, and reporting Develop stored procedures, views, and data transformation logic Perform query tuning and performance optimization Implement incremental load logic and data reconciliation checks Ensure efficient handling of large-volume datasets 🔹 Cloud Data Engineering Develop AWS Glue jobs using Py Spark / Spark SQL Manage data workflows across AWS ecosystem (S3, Redshift, IAM, Lambda, etc.) What skills and capabilities will make you successful?

Strong experience with AWS Glue (ETL jobs, workflows, triggers) Hands-on experience with Informatica Power Center Strong expertise in SQL development and performance tuning

Experience: designing and managing data warehouse architectures Proficiency in Python / Py Spark for data processing What's in it for you?

Warehousing Expertise Dimensional modelling (Star / Snowflake schema) Data warehouse lifecycle and architecture Data staging, transformation, and presentation layers Slowly Changing Dimensions (SCD) Fact and dimension design Data mart architecture Who will you report to?

General Manager
What qualifications will make you successful for this role?

Bachelor’s or Master’s degree in Engineering, Computer Science, or related field Typically 5+ years experience in data engineering, ETL, or data warehousing roles

Experience: working in enterprise-scale data environments Let us learn about you!

Apply today.

You must submit an online application to be considered for any position with us.

This position will be posted until filled.