Job description
Schneider Electric is looking for AWS data cloud engineer with min experience of 5 years in AWS data lake implementation. Responsible for creating/managing data ingestion, transformation, making data ready for consumption in analytical layer of data lake. Also responsible for managing/monitoring data quality of data lake using informatica power center. Also responsible for creating dashboards from analytical layer of data lake using Tableau or Power BI.
Your Role
We are looking for strong AWS Data Engineers who are passionate about Cloud technology. Your responsibilities are:
- Design and Develop Data Pipelines: Create robust pipelines to ingest, process, and transform data, ensuring it is ready for analytics and reporting.
- Implement ETL/ELT Processes: Develop Extract, Transform, Load (ETL) or Extract, Load, Transform (ELT) workflows to seamlessly move data from source systems to Data Warehouses, Data Lakes, and Lake Houses using Open Source and AWS tools.
- Implement data quality rules, perform data profiling to assess the source data quality, identify data anomalies, and create data quality scorecards using Informatica PowerCenter.
- Design Data Solutions: Leverage your analytical skills to design innovative data solutions that address complex business requirements and drive decision-making.
- Interact with product owners to understand the needs of data ingestion, data quality rules.
- Adopt DevOps Practices: Utilize DevOps methodologies and tools for continuous integration and deployment (CI/CD), infrastructure as code (IaC), and automation to streamline and enhance our data engineering processes. Optional skill.
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Qualifications
Your Skills and Experience
- Min of 3 to 5 years of experience in AWS Data Lake implementation.
- Min of 2 to 3 years of knowledge in Informatica PowerCenter.
- Proficiency with AWS Tools: Demonstrable experience using AWS Glue, AWS Lambda, Amazon Kinesis, Amazon EMR, Amazon Athena, Amazon DynamoDB, Amazon Cloudwatch, Amazon SNS and AWS Step Functions.
- Understanding of Spark, Hive, Kafka, Kinesis, Spark Streaming, and Airflow.
- • Understanding of relational databases like Oracle, SQL Server, MySQL
- Programming Skills: Strong experience with modern programming languages such as Python and Java.
- Expertise in Data Storage Technologies: In-depth knowledge of Data Warehouse, Database technologies, and Big Data Eco-system technologies such as AWS Redshift, AWS RDS, and Hadoop.
- Experience with AWS Data Lakes: Proven experience working with AWS data lakes on AWS S3 to store and process both structured and unstructured data sets.
- Expertise in developing Business Intelligence dashboards in Tableau, Power BI is a plus.
- Good knowledge on project and portfolio management suite of tools is a plus.
- Should be well versed with Agile principle of implementation.
- Having Safe Agile principles is a plus.
About Us
Schneider Electric™ creates connected technologies that reshape industries, transform cities and enrich lives. Our 144,000 employees thrive in more than 100 countries. From the simplest of switches to complex operational systems, our technology, software and services improve the way our customers manage and automate their operations. Help us deliver solutions that ensure Life Is On everywhere, for everyone and at every moment: https://youtu.be/NlLJMv1Y7Hk .
Great people make Schneider Electric a great company.
We seek out and reward people for putting the customer first, being disruptive to the status quo, embracing different perspectives, continuously learning, and acting like owners. We want our employees to reflect the diversity of the communities in which we operate. We welcome people as they are, creating an inclusive culture where all forms of diversity are seen as a real value for the company. We're looking for people with a passion for success - on the job and beyond. See what our people have to say about working for Schneider Electric: https://youtu.be/6D2Av1uUrzY
Our EEO statement :
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 we 'embrace different' as 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. This extends to our Candidates and is embedded in our Hiring Practices.
You can find out more about our commitment to Diversity, Equity and Inclusion here and our DEI Policy 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
Schedule: Full-time
Req: 0092GD