Sr. Data Engineer

Are you passionate about data engineering in Cloud technologies in most effective way and does creating innovative data management and reporting solutions excite youAre 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 cornerIf youve got technical chops, consulting skills and are a passionate data architect.

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 AWS 2+ 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 detail Analytical 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-wide
Implement data warehousing solutions in AWS cloud, analytics data stores in advanced analytics platforms Work 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 recommendations Development of database solutions by designing proposed system; defining database physical structure and functional capabilities, security, back-up, and recovery specifications to internal and external stakeholders Work closely with ETL/ELT team for implementing data transformation requirements into the cloud data warehouse.