Sr. Developer

• Develop and optimize data processing solutions using AWS Glue Databrew and Apache Spark to enhance data efficiency and performance.
• Implement Spark Optimization techniques to ensure high-performance data processing and analytics.
• Utilize AWS Cloud Formation to automate the deployment of cloud infrastructure ensuring scalability and reliability.
• Manage and optimize databases using Amazon RDS and Amazon Dynamo DB to support data-driven applications.
• Monitor and maintain cloud resources using AWS CloudWatch to ensure system health and performance.
• Collaborate with the DevOps team to streamline deployment processes using AWS DevOps tools.
• Ensure data security and compliance by managing access controls with AWS IAM.
• Design and implement data warehousing solutions using Amazon Redshift to support business intelligence initiatives.
• Develop ETL processes using AWS Glue Studio and AWS Glue ETL to transform and load data efficiently.
• Store and manage large datasets using Amazon S3 to support data analytics and storage needs.
• Apply risk management practices to identify and mitigate potential data risks.
• Work closely with cross-functional teams to ensure data solutions align with business objectives.
• Provide technical guidance and support to junior developers to foster a collaborative team environment.

Qualifications

• Possess strong expertise in AWS Glue Databrew Spark Optimization and AWS Cloud services.
• Demonstrate proficiency in Python for data processing and automation tasks.
• Have experience with AWS Cloud Formation Amazon RDS and Amazon Dynamo DB.
• Show knowledge in AWS DevOps and AWS IAM for efficient cloud management.
• Nice to have experience in Regul&Proc Ctrl-Gov&Comp domain skills.
• Exhibit strong problem-solving skills and attention to detail.
  • Ability to work in a hybrid work model and collaborate effectively with remote teams.