Data Engineer – Schneider Digital, part of Schneider Electric.
La siguiente información ofrece un resumen de las habilidades, cualidades y cualificaciones necesarias para este puesto.
Responsibilities
Play an instrumental role in the design, development, and maintenance of new ETL, data extractions and ingestions, and data quality, ensuring FAIR principles are achieved.
Work with large and complex datasets within the platform and make them available to different stakeholders.
Define and build scalable data pipelines to integrate and model datasets from complex data sources.
Ensure quality best practices, defining and implementing automated testing of data pipelines and orchestration.
Collaborate with data team members to define data quality rules and KPIs for monitoring and exception alerts.
Diagnose and triage infrastructure problems and outages related to the data & analytics platform.
Learn fast about new technologies; the project is growing fast and will soon serve other business units, requiring continuous learning.
Closely collaborate with our cloud engineering team to drive automation and observability as key success factors.
Qualifications
A bachelor's degree in Computer Science, Engineering, Mathematics, Economics, or a related field.
Minimum of 2 years' experience in a data engineering role.
Familiarity with data processing concepts such as ETL/ELT pipelines.
Experience with Python and Git.
Knowledge of good practices for Python development (project structure, testing, formatting, deployment).
Hands‐on experience building with PySpark.
Experience with S3 for object storage and data lakes.
Experience in data modeling.
Experience in developing and operating workflow orchestration.
Understanding of data partitioning and file formats like Iceberg and Delta.
Understanding of data warehousing concepts and querying languages such as SQL.
Agile knowledge.
Fluency in English.
Desirable Skills/Experience
Experience with EMR, Databricks and AWS Glue.
Familiarity with the AWS console and basic command‐line tools (AWS CLI).
Basic understanding of AWS serverless services such as Lambda, Step Functions, AWS Glue, and Redshift.
Experience with CI/CD pipelines for automating infrastructure and code deployment.
AWS certification (Solution Architect, SysOps Administrator, Developer, DevOps Engineer).
Experience with streaming data services such as Kafka, Kinesis, MKS, DMS.
Experience with developing containerized solutions (Docker).
Benefits
Flexible schedule – adjust work hours to accommodate personal needs.
Hybrid work plan – option to work from home.
Optional vacation day purchase (Holy Pack).
Floating holidays – exchange holidays for other days.
Sabbatical pack – up to 2 months of unpaid leave.
Global family leave policy – flexible paid conditions for parenthood or caring responsibilities.
Wellness platform access – Wellwo for you and up to five selected persons.
Wellhub network – access to gyms and sports centers.
On‐site medical service.
Career Hub – AI‐driven professional development platform.
Shareholder opportunity – stock ownership program.
Recognition program – points for achievements, redeemable for gift cards.
Life insurance.
Flexible remuneration plan – choose from health insurance, meal vouchers, childcare vouchers, transportation vouchers, training, and more.
Club Schneider – discounts at stores, restaurants, travel agencies, and other services.
Company‐subsidized volunteer programs.
Equal Opportunity Employment
Schneider Electric is an Equal Opportunity Employer. xohynlm 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.