
AWS Big Lead Data Engineer
2 weeks ago
About the Role :
We are looking for an experienced AWS Big Data Lead Engineer to design, build, and manage scalable data solutions on AWS. The ideal candidate will have extensive hands-on experience in Big Data technologies, cloud-native architecture, and leadership to guide engineering teams in delivering enterprise-grade data pipelines and analytics platforms.
Key Responsibilities :
- Lead the development of end-to-end Big Data solutions on AWS.
- Design, implement, and optimize data lakes, data warehouses, and streaming pipelines.
- Build ETL/ELT pipelines for batch and real-time data processing.
- Ensure high performance, scalability, and security of data platforms.
- Collaborate with architects, data scientists, and business stakeholders to deliver data-driven solutions.
- Provide technical leadership and mentorship to a team of Big Data engineers.
- Implement data governance, monitoring, and best practices for data management.
- Evaluate and integrate emerging Big Data and AWS technologies.
Mandatory Skills :
- AWS Services : S3, Glue, Redshift, EMR, Athena, Kinesis, Lambda, DynamoDB.
- Big Data Frameworks : Spark, Hadoop, Hive, Kafka.
- Programming & Scripting : Python, SQL, Java/Scala.
- Data Engineering : Data lake & warehouse design, ETL/ELT pipelines, data modeling, metadata management.
- Security & Compliance : IAM, encryption, VPC, GDPR/HIPAA knowledge.
- Strong solution design, architecture, and system integration experience.
- Leadership Skills : Team mentoring and stakeholder communication.
(ref:hirist.tech)-
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