Senior Data Engineer (DBT, AWS, SQL)

Senior Data Engineer (DBT, AWS, SQL)

Join us as a Senior Data Engineer and play a pivotal role in building and scaling modern data platforms that enable data-driven decision-making across the organization.

What will you do?


* Design, develop, and maintain scalable data pipelines using dbt, SQL, AWS services i.e S3, Redshift, Airflow and related frameworks.



* Build and optimize complex data transformations and SQL workloads for large-scale datasets.



* Design and implement data models following data warehousing and analytics engineering best practices.



* Develop and maintain data solutions leveraging AWS S3, Glue and Redshift.



* Orchestrate and monitor data workflows to ensure reliability, scalability and performance.



* Collaborate with business stakeholders, analysts and BI teams to deliver data solutions.



* Establish data quality, governance, monitoring and documentation standards.



* Mentor junior engineers and contribute to engineering best practices.

What are the key skills we are looking for?

Must Have Skills


* dbt



* AWS services (S3, Redshift)



* Airflow



* Advanced SQL and performance tuning



* Strong understanding of Databases, Data Warehousing and Data Lake concepts



* Analytical thinking



* Communicate with confidence, structure and clarity



* Excellent stakeholder management skills

Good to Have Skills


* Informatica PowerCenter/IICS



* Power BI or Tableau



* CI/CD and Git



* Agile/Scrum



* AWS Glue



* Python / PySpark

What's in it for me?


* Opportunity to work on modern cloud-based data platforms and large-scale data ecosystems.



* Exposure to cutting-edge data engineering technologies and best practices.



* Collaborative work environment with opportunities to influence architecture and engineering standards.



* Leadership opportunities through mentoring and driving technical excellence.



* Career growth within a high-impact data and analytics function.

Qualifications


*
+ Bachelor's or Master's degree in Computer Science, Engineering or related field
+ 5-10 years of experience in Data Engineering, Analytics Engineering, ETL or Data Warehousing
+ Experience delivering scalable enterprise data solutions on AWS

Bring your expertise to a team that values innovation and collaboration - apply today!

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...