Description

You will design and implement scalable big-data solutions on the AWS platform.

Responsibilities

• Design and implement well-architected, cost-effective AWS big-data solutions using S3, EMR, Glue, Redshift, and DynamoDB.
• Lead the technical implementation and full development lifecycle from prototyping to production deployment.
• Optimize data processing pipelines for scalability, reliability, and cost-efficiency.
• Provide technical leadership to the data engineering team and mentor junior engineers.
• Ensure data security and compliance by implementing encryption and safeguarding sensitive data.

Required Skills

• 9+ years of experience in a Solution Architect or similar role focused on AWS big-data solutions.
• Deep expertise in AWS services including S3, Glue, SageMaker, Redshift, Athena, DynamoDB, Lambda, and IAM.
• Hands-on programming proficiency in Python, Java, or Scala.
• Strong experience with PySpark and big-data processing frameworks like Apache Spark, Hadoop, or Apache Flink.
• Solid understanding of data modeling, data warehousing, and data integration concepts.
• Proficiency with SQL and data transformation techniques.
• Experience managing version control using GIT or Bitbucket.
• Knowledge of orchestration tools like Airflow.
• Ability to maintain comprehensive documentation for data models and system architecture.

Key Skills

Education

Any Graduate