Role: AWS Data Engineer
Experience: 10 + years
Location: Hyderabad
Role & Responsibilities
- Design, develop, and maintain scalable data pipelines using AWS services.
- Implement ETL/ELT processes for efficient data ingestion, transformation, and storage.
- Optimize data workflows for performance, reliability, and scalability.
- Collaborate with data scientists and analysts to support data analytics and reporting needs.
- Ensure data security, compliance, and best practices across all data engineering processes.
- Monitor system performance and troubleshoot issues proactively to ensure system reliability.
Skills & Qualifications
Must-Have
- Proficiency in AWS data services such as AWS Glue, Lambda, S3, and Redshift.
- Strong experience with designing and implementing ETL pipelines.
- Programming skills in Python and SQL.
- Experience with Big Data tools like Apache Spark.
- Good understanding of data security and compliance standards.
Preferred
- Experience with data modeling and data warehouse design.
- Knowledge of orchestration tools like Apache Airflow.
Benefits & Culture Highlights
- Flexible hybrid work model promoting work-life balance.
- Collaborative and innovative work environment.
- Opportunities for professional development and growth.
Skills: apache spark,sql,amazon redshift,aws lambda,python
