Data Engineer II

About the Role

Join our Data Engineering team to build modern cloud-based data platforms that support analytics, reporting, and business decision-making.

We are looking for a Data Engineer to build and maintain scalable data solutions on AWS.

The role involves developing data pipelines, implementing Lakehouse architecture using Apache Iceberg, and supporting analytics and reporting through reliable, high-quality data.

What will you do?


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+ Build and maintain data pipelines using AWS, DBT,Python, Spark.
+ Develop data transformations using dbt and Redshift.
+ Implement and manage Lakehouse solutions using Apache Iceberg.
+ Orchestrate workflows using Airflow.
+ Work closely with business and technical teams to deliver data solutions.

What are the key skills we are looking for?



* Develop and maintain data pipelines using DBT, AWS Glue, Spark, and basic Python.



* Build and optimize data transformation workflows using dbt.



* Implement and manage Lakehouse solutions using Apache Iceberg and Redshift.



* Orchestrate and monitor workflows using Apache Airflow.



* Optimize SQL queries and data models for performance and scalability.



* Follow CI/CD and GitHub best practices for deployment and code management.



* Collaborate with business and technical teams to deliver data solutions.



* Ensure data quality, reliability, and operational excellence.

Apache Iceberg and Lakehouse concepts Strong analytical and problem-solving skills.GitHub and CI/CD practices
+ AWS Glue, S3, and Redshift
+ Python, Spark, and PySpark
+ dbt and SQL
+ Apache Airflow



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* What's In It For Me?
+ Work with modern cloud and data technologies.
+ Gain hands-on experience in large-scale data engineering projects.
+ Collaborate with global teams and business stakeholders.
+ Opportunities for continuous learning and career growth

What qualifications will make you successful?


* Bachelor's degree in Computer Science, Engineering, IT, or a related field.



* Experience in Data Engineering and cloud-based data platforms.



* Strong knowledge of Python, SQL, AWS, Spark, and dbt.



* Experience with Airflow, Redshift, and data modeling.



* Good communication and teamwork skills.

Rewards designed for you

Our Total Rewards is our way of saying: We see you and we value you.

It's more than just pay and benefits-it's a meaningful investment in you.

It is designed to help you perform, grow, feel safe, and elevate your potential.

The package helps you care for yourself and your family, plan your future, grow your skills and career, collaborate in an inclusive workplace, and contribute to your community.

At Schneider Electric, we're here for what matters most to you.

Discover more at our Career Page.



* Country-specific programs and initiatives may be available.

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