Vacancy expired!
- Design, implement, and support various database services of our Cloud Platform.
- Provide technological guidance on Data Lake and Enterprise Data Warehouse design, development, implementation and monitoring.
- Understand, Design and Implement Data Security around cloud infrastructures.
- Provide support and guidance to Data Services and other application development teams on various AWS Database Products.
- Work with leadership on process improvement and strategic initiatives on Cloud Platform.
- Extensive hands-on experience including design and implementation across broad range of database services on Amazon Web Services (AWS).
- Experience with AWS Database Migration Service (AWS DMS) and migrating RDBMS (SQL Server/Oracle) from On-premise to AWS (Aurora/Redshift).
- Solid understanding of various Data Management and Data Pipeline tools available in AWS.
- Working knowledge with primary AWS Services like S3, Lambda, Batch, Glue, Athena, EC2, EBS, CloudWatch, CloudTrail, ECS, ECR, EMR, IAM, SNS etc.
- Development experience with any major ETL tool, preferably Informatica.
- Good understanding of implementing datalake and data warehouse in Cloud.
- Experience in creating and deploying CloudFormation Templates (CFTs)
- Experience with Lifecycle Management of S3 Buckets.
- Clear Understanding of Cloud Databases Security involving AWS IAM Users and access, IAM Roles and Policies, Federated Users and permissions.
- Good Understanding of AWS Encryption methodologies and AWS KMS Services.
- Experience with database performance testing and capacity planning.
- Working knowledge and experience with software development life cycle (SDLC) and agile/iterative methodologies.
- Implementation experience of Big Data technologies like Hadoop, Spark, Presto, Hive, and Hue will be a major advantage.
- Knowledge of AWS Machine Learning Offerings will be a plus
- Experience with any Data Visualization tools will be a plus
- Reliable and predictable attendance of your assigned shift
- Ability to work full time and/or part time based on the position specifications.
- Bachelor's degree in Computer Science/Engineering, Information Systems or equivalent work experience in a technical position
- 5+ years of experience in Information Technology.
- 3+ years of experience in Database Engineering primarily in AWS Redshift, RDS/Aurora, DynamoDB, DMS, Glue.
- Proven experience in building data pipelines and database applications
- Strong coding and scripting experience with Python, PowerShell or similar languages.
- Experience of implementing Amazon EMR or Big Data technologies like Hadoop, Spark, Presto, Hive will be a plus
- Prior domain experience of Life Insurance, Annuity or Financial Services is a plus
- AWS Certifications are considered a strong plus
- Excellent verbal and written communication skills.
- Ability to work independently and as part of team.