Opens LinkedIn
- Employment type
- Contract
- Experience level
- Senior · 5+ years
- Posting language
- English
- Working hours
- 40 hours per week
- Seniority
- Mid-Senior level
- Application method
- Direct apply is available
Job summary
Design, develop, and support scalable data pipelines and distributed systems using Big Data technologies and AWS services. Contribute to data platform modernization, cloud migrations, data warehousing, ETL, and real-time data processing in an enterprise environment.
Job details
We are seeking a highly skilled Senior Platform Engineer with extensive experience in Big Data technologies, AWS Cloud, and data platform engineering. The ideal candidate will have strong expertise in designing, developing, and supporting scalable data pipelines and distributed systems, along with hands-on experience in Big Data ecosystem tools, AWS services, and real-time data processing. This role involves working on data platform modernization, cloud migrations, Data Warehousing and ETL in a fast-paced enterprise environment. Required Technical Skills Cloud Technologies Strong experience in AWS Cloud services: EMR, EC2, S3, VPC, RDS, Redshift AWS Glue, IAM, CloudWatch, CloudFormation Airflow (or AWS Managed Workflows) Databases Experience working with: Netezza is mandatory SQL-based systems: SQL Server and PostgreSQL Data warehouses: Teradata, Redshift, Netezza ETL Tools
What you’ll do
Design, develop, and support scalable data pipelines and distributed systems using Big Data technologies and AWS services. Contribute to data platform modernization, cloud migrations, data warehousing, ETL, and real-time data processing in an enterprise environment.
Requirements
The role requires extensive experience with Big Data, AWS Cloud, and data platform engineering, including hands-on experience with AWS services and real-time data processing. Netezza experience is mandatory, along with experience using SQL Server, PostgreSQL, Teradata, Redshift, and Airflow or AWS Managed Workflows.
Listed skills
- Amazon Web Services · Preferred
- Time · Preferred
- SQL · Preferred
- PostgreSQL · Preferred
- Technical · Preferred
- Organization · Preferred
- Attention to detail · Preferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- Big Data
- AWS Cloud
- Data Platform Engineering
- Data Pipelines
- Distributed Systems
- Amazon EMR
- Amazon EC2
- Amazon S3
- Amazon VPC
- Amazon RDS
- Amazon Redshift
- AWS Glue
- AWS IAM
- Amazon CloudWatch
- AWS CloudFormation
- Apache Airflow
Job areas
- Technology
- Data & Analytics
- Software
- Engineering
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