Life Cycle, agile methodologies such as CI/CD, Application Resiliency, and Security Cloud implementation experience with AWS including: AWS Data Services: Glue ETL (or) EMR, S3, Glue Catalog, Athena, Lambda + Step Functions + Event Bridge, ECS Data De/Serialization: Parquet and JSON format AWS Data Security: Good Understanding of security concepts such as: IAM, Service roles More ❯
Security In-depth knowledge of the financial services industry and their IT systems Cloud implementation experience with AWS including: AWS Data Services: Glue ETL (or) EMR, S3, Glue Catalog, Athena, Lambda + Step Functions + Event Bridge, ECS Data De/Serialization: Parquet and JSON format AWS Data Security: Good Understanding of security concepts such as: IAM, Service roles More ❯
solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Leverage AWS services (e.g., S3, EC2, Athena, Lambda, Glue) to build scalable and secure cloud solutions. Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code More ❯
Cucumber) Linux environments AWS environment experience MariaDB, Oracle, MySQL, AWS Aurora (2 or more) 2+ years in MySQL scripting within cloud Data Migration projects AWS data migration testing, including Athena, Data Migration Service, or similar tools Additional skills include: Self-management and proactive decision-making with risk assessment Ability to translate technical concepts for non-technical stakeholders Knowledge sharing More ❯
teams, and develop data-driven solutions to support business growth. Responsibilities: Work with teams to understand objectives and define analytics goals. Develop data analysis strategies using AWS services like Amazon Redshift, Athena, EMR, and QuickSight. Design data pipelines and ETL processes for data extraction and transformation. Apply statistical and machine learning techniques for predictive analysis, clustering, and pattern … recognition. Develop KPIs and dashboards using Amazon QuickSight for decision-making. Perform exploratory data analysis to identify trends and insights. Collaborate on data architecture, quality, and governance in AWS. Requirements: Bachelor's or master's in Computer Science, Statistics, Mathematics, or related fields. Experience as a Data Scientist, preferably with AWS analytics services. Proficiency in AWS tools like Redshift … Athena, EMR, QuickSight. Understanding of data modeling, ETL, and data warehousing. Skills in statistical analysis, machine learning, and programming languages such as Python, R, or Scala. Experience with SQL, NoSQL, and data visualization tools. Strong analytical and problem-solving skills. Knowledge of social media analytics and user behavior. Familiarity with big data technologies like Hadoop, Spark, Kafka. Knowledge of More ❯
