Delivery Manager – Data Engineering
The Hartford
AWSCloudETLPMPSDLC
Senior Staff Data Engineer
The Hartford
full-time
Posted on:
Location Type: Hybrid
Location: Hartford • Connecticut, Illinois, North Carolina, Ohio • 🇺🇸 United States
Visit company websiteSalary
💰 $135,040 - $202,560 per year
Job Level
Senior
Tech Stack
CloudETLJavaScriptJenkinsSDLCSQL
About the role
- Demonstrate Technical leadership and expertise in Snowflake’s cloud native architecture
- Implement and leverage Materialized views, Data Sharing, Clone Feature and Performed Dynamic data Masking
- Have a solid understanding of delivery methodology(SDLC) and lead teams in the implementation of the solution according to the design/architecture
- Integration of data pipelines with source control repository and build CI/CD pipeline and DevOps
- Researches and evaluates alternative solutions and recommends the most efficient and cost-effective solution for the systems design
- Coordinate as needed between multiple disciplines such as, Architects, Business Analysts, Scrum Masters, and Developers to get technical clarity leading to design, develop and implementation of business solution
- Oversight of quality and completeness of detailed technical specifications, solution designs, and code reviews as well as adherence to the non-functional requirements
- Experience in delivering technical solutions in an iterative, agile environment (Scrum/Kanban)
- Participate as active agile team member to help drive feature refinement, user story completion, code review, etc.
- Identify, document, and communicate technical risks, issues and alternative technical solutions discovered during project
- Collaboration with a high-performing, forward-focused team, Release train engineer, Product Owner(s) and Business stakeholders
- Ability to work on innovative and new projects with a "fail-fast" approach to provide optimal solutions that bring the most value to the business
- Passion for learning new skills and the ability to adjust priorities on multiple projects based on changing demands/needs.
Requirements
- Candidates must be authorized to work in the US without company sponsorship
- 5+ years in Snowflake data warehousing, data pipelines and automation
- 5+ years of hands-on experience in Datawarehouse and Data Integration(ELT/ETL)
- 3 + years in Cloud Data modernization (Ingestion, Curation, Data Domains, Data Products)
- Experience working with Data Lakes loading disparate data sources- Structured, semi-structured data (Flat files, XML, JSON, Parquet) and unstructured data
- Ability to create, troubleshoot, enhance complex code in Snowflake Data Lakes/Data hubs/data warehouses
- Experience in building data pipelines using cloud native ELT tools and automation of data ingestion including change data capture (CDC)
- Hands on experience with Snow SQL, Stored Procedures, UDF’s using JavaScript, SnowPipe and other snowflake utilities
- Experience with Data Governance (Catalog, Quality, Lineage)
- Strong data warehouse applications knowledge in preferably in financial/insurance domain is required
- Experience with version control tools , CI/CD pipeline and DevOps tools like GitHub , Jenkins nexus and uDeploy
- Knowledge of Data Profiling, Data Modeling and Database design is key to this role.
Benefits
- Other rewards may include short-term or annual bonuses
- long-term incentives
- on-the-spot recognition
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
SnowflakeData WarehousingData IntegrationELTETLCloud Data ModernizationData LakesData GovernanceData ProfilingData Modeling
Soft skills
Technical LeadershipCollaborationCommunicationAgile MethodologiesProblem SolvingAdaptabilityTeamworkRisk ManagementQuality AssuranceInnovation
