About the Role :
We are looking for an experienced AWS Big Data Engineer & Architect to design, implement, and manage large-scale data platforms on AWS. The ideal candidate will have strong expertise in Big Data technologies, cloud-native architecture, and hands-on experience building scalable, secure, and high-performance data solutions.
Key Responsibilities :
- Technical Architecture & Engineering
- Design and implement end-to-end Big Data solutions on AWS, including data lakes, data warehouses, and streaming pipelines.
- Develop ETL / ELT pipelines for batch and real-time processing.
- Optimize data storage, processing, and querying for performance and cost efficiency.
- Define data modeling, metadata management, and governance standards.
- Ensure security, compliance, and high availability of all data solutions.
- Prepare architecture diagrams, design documents, and technical blueprints for stakeholders.
Leadership & Collaboration :
Mentor and guide a team of Big Data engineers.Collaborate with architects, data scientists, and business stakeholders to deliver data-driven solutions.Evaluate emerging technologies and recommend innovative solutions to support business growth.Mandatory Skills :
Strong experience in AWS Services : S3, Glue, Redshift, EMR, Athena, Kinesis, Lambda, DynamoDB.Proficiency with Big Data frameworks : Spark, Hadoop, Hive, Kafka.Programming skills in Python, SQL, and Java / Scala.Expertise in data lake & data warehouse architecture, ETL / ELT pipelines, and data modeling.Knowledge of security, IAM, encryption, VPC design, and compliance frameworks (GDPR / HIPAA).Strong experience in solution architecture, system design, and integration.Leadership skills mentoring teams and managing stakeholders.AWS Certifications preferred (Solutions Architect Professional, Big Data Specialty).(ref : hirist.tech)