Data Engineer - Expert

What will you do?

• · Develop, optimize, and manage robust ETL pipelines to handle large-scale data processing and transformation.

  · Build and maintain data lake architectures on AWS S3 and data warehouse solutions on Redshift for efficient storage and retrieval.

  · Use Databricks for advanced data processing, pipeline orchestration, and integration with downstream AI/ML systems.

  · Leverage AWS services - EC2, EMR, RDS, S3, Athena, Redshift, Lambda, Glue ETL, Glue Crawlers, Glue Data Catalog, Glue Studio - for scalable, production-grade data solutions.

  · Develop data processing logic in Python, PySpark, SQL, and object-oriented or functional languages such as Java or C++.

  · Establish data quality assurance processes including validation, cleansing, and error handling to maintain data integrity.

  · Enforce data privacy, governance, and security best practices to ensure compliance with corporate and regulatory policies.

  · Monitor data pipelines for performance, troubleshooting issues to maintain operational reliability and data availability.

  · Integrate and optimize real-time and batch data ingestion pipelines to support analytics, AI models, and automation workflows.

  · Implement infrastructure-as-code for data workloads and ensure CI/CD practices for data pipelines.

  · Conduct code reviews, mentor junior data engineers, and define best practices for high-performance data engineering.

  · Collaborate closely with data scientists, AI engineers, and business stakeholders to align data infrastructure with analytical and automation needs.

What skills and capabilities will make you successful?

• o 5+ years of experience in data engineering, with successful delivery of enterprise-scale data projects.

• o Proven track record in data lake design and ETL/ELT pipeline development on AWS S3, AWS Redshift, and Databricks.

  o Strong knowledge of AWS cloud services including EC2, EMR, RDS, S3, Athena, Redshift, Lambda, Glue ETL, Glue Data Catalog, Glue Studio, and AWS Crawlers.

  o Advanced skills in Python, PySpark, and SQL with exposure to Java, C++, or similar programming languages.

  o Hands-on experience with big data processing frameworks (Hadoop, Spark, Kafka) and stream-processing systems (Storm, Spark Streaming).

  o Skilled with data pipeline orchestration tools (Airflow, Azkaban, Luigi).

  o Knowledge of AWS log formats and expertise in processing operational and application logs at scale.

  o Experience in data privacy, governance, and security frameworks suitable for enterprise environments.

  o Strong ability to ensure data readiness for AI/ML and RPA use cases, including feature engineering pipelines and real-time data delivery.

  o Excellent problem-solving, analytical thinking, and communication skills.

  o Proven experience in mentoring technical teams and setting engineering standards.

  o Passion for continuous learning, active participation in AI/ML forums, and pursuit of industry-recognized certifications.

Whats in it for you?

• · Opportunity to shape and build an AI product portfolio that delivers meaningful business impact for SE Regions.

  · Work alongside a motivated and innovative team that values learning, ownership, and excellence.

  · Thrive in a culture that challenges the status quo and embraces diverse perspectives.

What qualifications will make you successful for this role?

• o Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related quantitative field.

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.

Looking to make an IMPACT with your career?

When you are thinking about joining a new team, culture matters. At Schneider Electric, our values and behaviors are the foundation for creating a great culture to support business success. 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. It is a call to connect your career with the ambition of achieving a more resilient, efficient, and sustainable world.

We are looking for IMPACT Makers; exceptional people who turn sustainability ambitions into actions at the intersection of automation, electrification, and digitization. We celebrate IMPACT Makers and believe everyone has the potential to be one.

Become an IMPACT Maker with Schneider Electric - apply today!

€36 billion global revenue
+13% organic growth
150 000+ employees in 100+ countries
#1 on the Global 100 World’s most sustainable corporations

You must submit an online application to be considered for any position with us. This position will be posted until filled.

Schneider Electric aspires to be the most inclusive and caring company in the world, by providing equitable opportunities to everyone, everywhere, and ensuring all employees feel uniquely valued and safe to contribute their best. We mirror the diversity of the communities in which we operate, and ‘inclusion’ is one of our core values. We believe our differences make us stronger as a company and as individuals and we are committed to championing inclusivity in everything we do.

At Schneider Electric, we uphold the highest standards of ethics and compliance, and we believe that trust is a foundational value. Our Trust Charter is our Code of Conduct and demonstrates our commitment to ethics, safety, sustainability, quality and cybersecurity, underpinning every aspect of our business and our willingness to behave and respond respectfully and in good faith to all our stakeholders. You can find out more about our Trust Charter here
 
Schneider Electric is an Equal Opportunity Employer. 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.