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AWS Technical Lead
1 month ago
**AWS Technical Lead Data Engineer Role**
We are seeking a seasoned AWS Technical Lead Data Engineer to join our team at b4uleap. This is a full-time, work-from-office opportunity based in Bangalore or Hyderabad.
About the Role:
The successful candidate will lead and mentor data engineering teams, architecting robust data solutions on AWS, and serving as the primary technical point of contact for clients.
Key Responsibilities:
- Technical Leadership: Provide guidance and mentorship to data engineering teams, fostering innovation and continuous improvement.
- Solution Architecture: Design and architect scalable, high-performance data solutions on AWS, utilizing services such as S3, Glue, Lambda, EMR, Redshift, DynamoDB, Kinesis, and Athena.
- Client Engagement: Serve as the primary technical point of contact for clients, understanding their needs and translating them into effective data solutions.
- Project Management: Lead and manage end-to-end project delivery, ensuring projects are completed on time and to the highest quality standards.
- Data Modeling: Develop and maintain comprehensive data models supporting analytics, reporting, and machine learning use cases.
- Performance Optimization: Continuously monitor and optimize data pipelines and systems for optimal performance and cost-efficiency.
Requirements:
- AWS Services: Deep understanding of core AWS services for data engineering.
- Programming Languages: Proficiency in Python, SQL, and PySpark.
- Data Warehousing and ETL: Expertise in designing and implementing data warehousing solutions and ETL processes.
- Infrastructure as Code (IaC): Experience with tools like CloudFormation or Terraform.
- Big Data Technologies: Familiarity with big data frameworks like Apache Spark and Hadoop.
Qualifications:
- Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
- 10+ years of experience in data engineering, with at least 3+ years in a technical leadership role.
- Deep expertise in AWS cloud technologies and data services.