Technical Lead- Data Engineering (Remote) at CIT #vacancy #remote

OverviewThis position provides specialized technical leadership during the architecture, design, implementation, and support of assigned systems and applications. Directs decision-making within technical projects to facilitate project planning, scope, and time estimates. Trains less experienced associates and assists management in monitoring team performance. Collaborates with peers, managers, and cross-platform teams to align projects and tasks with wider organizational goals.ResponsibilitiesTeam Leadership Work in collaboration with Data architects to design, and develop robust data warehouse solutions. Work with the Data products team to understand the business requirements to system solutions and develop an implementation plan and schedule. Mentors and trains team members. Utilizes expertise to provide guidance, feedback and direction on complex matters. Assists in the communication of performance results and expected behaviors for success.Project Experience – Specialized in leading large and small projects, including developing time estimates, determining scope, addressing potential risks and impacts, and providing risk remediation strategies. Extensive experience in Migration, Integration, and development of ETL pipeline using industry-leading ETL tools.Business Support – Provides insight to management, allowing the strategic alignment of technologies with business needs. Facilitates system modifications or architectural changes. Effectively collaborates with others on technical issues and initiatives, acting as the primary escalation point for technology-related team concerns across the enterprise.Technical Expertise – Maintains a strong knowledge of Bank technologies, processes, procedures, and industry standards. Provide North Star vision to the team by enforcing the guidelines and market best practices. The base pay for this position is relative to your experience but the range is generally $117,750 to $204,100 per year.QualificationsBachelor’s Degree and 8+ years of experience in Design and development experience in data space. Experience in cloud technologies and cloud-native tools. Experience in the Banking domain and understanding different banking products is a plus.Preferred Education: Bachelor DegreePreferred Area of Study: Computer Science or similar data-related technology.Preferred Area of Experience: Cloud Platforms : AWS and Azure ETL Tools : Informatica, BODS, Data Stage, Data Bricks, Azure Data factoryData Visualization Tools : Denodo, BOXI, Tableau, Power BIDatabases : Oracle, Sqlserver, DB2, NetezzaScripting Languages : SQL, PL/SQL, PythonScheduling tools like redwood, Control M etcExperienced in relational and dimensional data modeling and star schema.Skill(s): Advanced experience with modern technologies, prototyping, technical leadership, systems development lifecycle, communication and planning skills, Advanced knowledge in working with leadership to define strategy and approach for solving complicated technical problems, Proven ability to deliver solutions that solve complex problems, using thought leadership and independent thinking skills, Ability to lead others in the successful execution and delivery of long term, multi-layered projects and initiatives., Ability to clearly articulate complex processes/situations to executive leadership

Associated topics: data administrator, data architect, data integration, data integrity, data scientist, data warehouse, data warehousing, database administrator, hbase, teradata

star-schema Communication cloud-platforms Databases ETL Data Engineering data-visualization Data Architect Banking industry Project management prototyping

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