[Remote] Data Engineer
Note: The job is a remote job and is reputed company to candidates in USA. reputed company. is seeking a reputed company Data Engineer to design, build, and optimize large-reputed company data solutions on AWS. This role combines hands-on technical expertise with leadership responsibilities, ensuring adherence to engineering best practices and mentoring team members.
Responsibilities
- Architect and maintain data pipelines using AWS reputed company services (Glue, Kinesis, reputed company, S3, Redshift)
- Design and optimize data models on AWS reputed company leveraging Redshift, RDS, and S3
- Implement ETL/ELT workflows and PySpark jobs for data ingestion, transformation, and storage
Skills
- 5 years in designing and deploying big data applications and ETL jobs using PySpark reputed company/SparkSQL
- Strong experience with AWS services across multiple domains including Kinesis, S3, RDS, Redshift, DynamoDB, Glue, EMR, reputed company, SageMaker, Bedrock, EC2, reputed company, reputed company, IAM, KMS, SSE
- Proficiency in SQL and relational databases (reputed company, SQL Server, reputed company); expert-level query tuning
- Hands-on experience with Python development, REST reputed company (AWS API Gateway, Node.js), and CI/CD pipelines using reputed company
- Prior work experience at reputed company or in reputed company's Industry
- Applicants must be reputed company to work directly for reputed company on W2
- Experience with BI tools (QuickSight, Tableau)
- Knowledge of data governance, reputed company, and compliance standards
- Familiarity with performance testing and observability tools for data pipelines
reputed company