Are you passionate about data engineering in Cloud technologies in most effective way and does creating innovative data management and reporting solutions excite you? Are you looking for an opportunity where you can both practice your technical trade while adding to your leadership, consulting, and delivery experience to turn a career corner? If you've got technical chops, consulting skills and are a passionate data architect, please read on...

3+ years of experience in Python programming, specifically in complex data loading using Python.3+ years of hands on (strong) ETL is a must and prior experience in any RDMS experience is a must (Postgres is preferable)2+ years of mandatory hands on experience in AWS cloud technologies, CI/CD(GIT/ BitBucket) and managing data in AWS2+ years of hands-on experience in Snowflake or AWS Redshift is required.Data Mapping expertise, ability to understand business requirements and derive data dictionary and data assets requirement for ETL/ELT and DBA groups.Excellent communication skills, both written and verbal and attention to detailAnalytical skills is must to understand the requirement and work on the tasks as an individual contributor.Ability to collaborate with peers and develop good working relationships.Knowledge of data warehousing on the AWS platform is required.AWS Certification especially Cloud Practitioner completion is desired.Hands on experience with Snowflake will be an asset.Hands on experience on Linux shell scripting is preferable.Accountable for delivery of data deliveries for top insurance and financial services clients world-wideImplement data warehousing solutions in AWS cloud, analytics data stores in advanced analytics platformsWork closely with BI technology vendors for any need arising due to production support, product upgrades, or development.Document data sources on client project and perform gap analysis and identify inflow of bad data into Cloud data warehouse and develop recommendationsDevelopment of database solutions by designing proposed system; defining database physical structure and functional capabilities, security, back-up, and recovery specifications to internal and external stakeholdersWork closely with ETL/ELT team for implementing data transformation requirements into the cloud data warehouse.