Expert, Data Platforms Engineer
Yesterday• Bangalore, India
Job Descriptions
Job Title: Expert, Data Engineer - Data Platforms
Responsibilities
What will you do?
Join Schneider Electric and help us power a sustainable future through data. As a Data Engineer within our Data Platforms organization, you'll play a critical role in designing and delivering advanced data solutions that enable trusted analytics and AI across the enterprise. You will collaborate with business stakeholders, solution architects, and global technology teams to create efficient, scalable data flows while ensuring strong data governance practices. Your expertise will help transform raw data into actionable insights that drive innovation and smarter decisions for our customers and the planet.
- Design, develop and engineer data lake by data source identification, data extraction, data modelling, data store design and governance
- Develop data flows to ingest and transform both structured and unstructured data using warehousing and big data methodologies and tools to build refined and aggregated data assets for business intelligence and AI enablement.
- Implement efficient patterns for data storage, partitioning, semantic layer and metadata structures to enable consumption of data as a product.
- Implement automation capabilities to enable governance features for data privacy and protection, data inventory and cataloguing, authorization and data security.
- Implement enhanced observability, cost management and reporting strategies for data engineering operations.
- Build relevant integration testing and quality assurance capabilities while ensuring compliance with architectural standards for development.
- Perform assessments (Proof of Concepts) of the latest tools and technology to solution and assist in evolving the technology landscape.
- Lead, mentor, and support the Data Delivery teams with methodologies, tools and technical knowledge.
Want more jobs like this?
Get jobs in Bangalore, India delivered to your inbox every week.
What skills and capabilities will make you successful?
- 3+ years of Hands-on experience in AWS services including but not limited to: S3, KMS, Lambda, Glue (or Spark), SQS, EventBridge, AWS Step functions etc.,
- 3+ years of hand on experience in writing clean, modular, testable, and maintainable code using either functional or OOP principles.
- Good understanding of AWS networking concepts: VPC, subnets, routing, NAT gateways, security groups.
- Proficiency in IAM concepts: roles, policies, assume-role, and cross-account access.
- Good experience in at least one programming language such as Python, Scala, Java etc
- Good understanding of Spark architecture, execution plans, and performance tuning.
- Strong SQL skills (complex joins, window functions, aggregations etc) and experience with Redshift and/or Athena, or any other distributed compute engines.
- Experience in writing and maintaining Terraform scripts.
- Familiarity with Git, GitHub workflows, and CI/CD tools like Jenkins.
- Hands on experience with data governance, cataloguing and discovery tools such as AWS Glue and Lake formation.
- Exposure to data lake architectures and data governance practices.
- Familiarity with monitoring and logging tools (e.g., CloudWatch).
- Advanced cloud and on-premises knowledge of NoSQL database structures including AWS DynamoDB, MongoDB, etc.
- Knowledge of Data Management, Integration and Data Quality tools spanning No-code, low-code and code-first methodologies, such as: Alteryx, Trifacta, Informatica Power Center, Informatica Cloud, Databricks etc.,
Business / Soft Skills:
- Must have solid presentation, communication (on complex technical solutions) and inter-personal skills.
- Ability to work effectively with globally dispersed stakeholders from business.
- Ability to manage multiple priorities in a fast-paced environment.
- A data-driven mindset, ability to clearly communicate complex business problems and technical solutions.
- Ability to manage and make decisions about competing priorities and resources.
- Ability to delegate where appropriate
- Must be a strong team player
What's in it for you?
Care, Connect, Challenge, Commit.
Our values define our company. Who we are, our customer approach, how we do business, what it's like to work here, and the kind of people we want to attract and retain. We care for our planet, our customers, our company, our team, and ourselves. We connect to customers and colleagues; we are open and respectful. We challenge others and embrace challenges ourselves. We commit to change by leading the change.
At Schneider Electric, because we value our employees, we offer a competitive benefits package that includes medical, dental and vision, matching 401(k), training and development opportunities and much more. Join Schneider Electric and together, let's make the most of your energy.
Schneider Electric is an Equal Opportunity Employer.
Who will you report to?
- The position will report into the Engineering Manager in the Data Platforms organization. The individual is expected to interface with other peers within Global Technology Services - Data Platforms organization.
- The individual will closely collaborate with our Data Governance and PMO organizations to ensure our delivery meets our process standards.
Qualifications
- Bachelor's degree in computer science, IT Management, technology or equivalent experience in data management, integration or data warehousing.
- 6+ years of experience in a progressively advanced role or a Master's degree with 4+ years of similar experience.
(Internal)
English Responsibilities
(Internal) English Qualifications
Job Descriptions
Job Title: Expert, Data Engineer - Data Platforms
Responsibilities
What will you do?
Join Schneider Electric and help us power a sustainable future through data. As a Data Engineer within our Data Platforms organization, you'll play a critical role in designing and delivering advanced data solutions that enable trusted analytics and AI across the enterprise. You will collaborate with business stakeholders, solution architects, and global technology teams to create efficient, scalable data flows while ensuring strong data governance practices. Your expertise will help transform raw data into actionable insights that drive innovation and smarter decisions for our customers and the planet.
- Design, develop and engineer data lake by data source identification, data extraction, data modelling, data store design and governance
- Develop data flows to ingest and transform both structured and unstructured data using warehousing and big data methodologies and tools to build refined and aggregated data assets for business intelligence and AI enablement.
- Implement efficient patterns for data storage, partitioning, semantic layer and metadata structures to enable consumption of data as a product.
- Implement automation capabilities to enable governance features for data privacy and protection, data inventory and cataloguing, authorization and data security.
- Implement enhanced observability, cost management and reporting strategies for data engineering operations.
- Build relevant integration testing and quality assurance capabilities while ensuring compliance with architectural standards for development.
- Perform assessments (Proof of Concepts) of the latest tools and technology to solution and assist in evolving the technology landscape.
- Lead, mentor, and support the Data Delivery teams with methodologies, tools and technical knowledge.
What skills and capabilities will make you successful?
- 3+ years of Hands-on experience in AWS services including but not limited to: S3, KMS, Lambda, Glue (or Spark), SQS, EventBridge, AWS Step functions etc.,
- 3+ years of hand on experience in writing clean, modular, testable, and maintainable code using either functional or OOP principles.
- Good understanding of AWS networking concepts: VPC, subnets, routing, NAT gateways, security groups.
- Proficiency in IAM concepts: roles, policies, assume-role, and cross-account access.
- Good experience in at least one programming language such as Python, Scala, Java etc
- Good understanding of Spark architecture, execution plans, and performance tuning.
- Strong SQL skills (complex joins, window functions, aggregations etc) and experience with Redshift and/or Athena, or any other distributed compute engines.
- Experience in writing and maintaining Terraform scripts.
- Familiarity with Git, GitHub workflows, and CI/CD tools like Jenkins.
- Hands on experience with data governance, cataloguing and discovery tools such as AWS Glue and Lake formation.
- Exposure to data lake architectures and data governance practices.
- Familiarity with monitoring and logging tools (e.g., CloudWatch).
- Advanced cloud and on-premises knowledge of NoSQL database structures including AWS DynamoDB, MongoDB, etc.
- Knowledge of Data Management, Integration and Data Quality tools spanning No-code, low-code and code-first methodologies, such as: Alteryx, Trifacta, Informatica Power Center, Informatica Cloud, Databricks etc.,
Business / Soft Skills:
- Must have solid presentation, communication (on complex technical solutions) and inter-personal skills.
- Ability to work effectively with globally dispersed stakeholders from business.
- Ability to manage multiple priorities in a fast-paced environment.
- A data-driven mindset, ability to clearly communicate complex business problems and technical solutions.
- Ability to manage and make decisions about competing priorities and resources.
- Ability to delegate where appropriate
- Must be a strong team player
What's in it for you?
Care, Connect, Challenge, Commit.
Our values define our company. Who we are, our customer approach, how we do business, what it's like to work here, and the kind of people we want to attract and retain. We care for our planet, our customers, our company, our team, and ourselves. We connect to customers and colleagues; we are open and respectful. We challenge others and embrace challenges ourselves. We commit to change by leading the change.
At Schneider Electric, because we value our employees, we offer a competitive benefits package that includes medical, dental and vision, matching 401(k), training and development opportunities and much more. Join Schneider Electric and together, let's make the most of your energy.
Schneider Electric is an Equal Opportunity Employer.
Who will you report to?
- The position will report into the Engineering Manager in the Data Platforms organization. The individual is expected to interface with other peers within Global Technology Services - Data Platforms organization.
- The individual will closely collaborate with our Data Governance and PMO organizations to ensure our delivery meets our process standards.
Qualifications
- Bachelor's degree in computer science, IT Management, technology or equivalent experience in data management, integration or data warehousing.
- 6+ years of experience in a progressively advanced role or a Master's degree with 4+ years of similar experience.
(Internal)
English Responsibilities
(Internal) English Qualifications
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.
Client-provided location(s): Bangalore, India
Job ID: Schneider_Electric-https://careers.se.com/jobs/109730?lang=en-us
Employment Type: FULL_TIME
Posted: 2026-03-11T18:52:41
Perks and Benefits
Health and Wellness
Parental Benefits
Work Flexibility
Office Life and Perks
Vacation and Time Off
Financial and Retirement
Professional Development
Diversity and Inclusion