Job
Description
Role: Data Engineering- Manager Experience: 8-12 Years Location: Hyderabad We need immediate joiners only (Max. 15 days) This is work from office role-5 days (No Hybrid/ Remote opportunities) We are looking for candidates with strong experience in data architecture Experience Candidates Should Bring 8 to 12 years of data engineering experience with at least 3 years in a managerial role within a consulting or professional services environment. Proven experience in managing multiple, complex data engineering projects simultaneously. Experience in leading a team of 8 to 12 professionals. Strong problem-solving skills and the ability to handle complex, ambiguous situations. Exceptional project management skills, with experience in Agile methodologies. A client-service mindset and a desire to take on tough and challenging projects Effective communication skills, both written and verbal Ability to work effectively across functions and levels; comfort collaborating with teammates in a virtual environment. About The Role This position requires someone with good problem solving, business understanding and client presence. Overall professional experience of the candidate should be above 8 years. A minimum of 5 years of experience in leading and managing a client portfolio in Data Engineering space. Should have good understanding of business operations, challenges faced, and business technology used across business functions. The candidate must understand the usage of traditional and modern data Engineering technologies/tools for solving business problems and help clients in their data journey. The candidate must have knowledge of emerging technologies for data management including data governance, data quality, security, data integration, processing, and provisioning. The candidate must possess required soft skills to work with teams and lead medium to large teams. Candidate should be comfortable with taking leadership roles, in client projects, presales/consulting, solutioning, business development conversations, execution on data engineering projects. Key Responsibilities Client Engagement & Relationship Management: Serve as the primary point of contact for clients on data engineering projects, understanding their needs, challenges, and goals. Develop and maintain strong client relationships, ensuring high levels of client satisfaction and repeat business. Translate client requirements into actionable technical solutions and project plans. Project Management & Delivery Oversee the delivery of data engineering projects from inception to completion, ensuring projects are delivered on time, within scope, and within budget. Manage project resources, timelines, and risks, ensuring smooth project execution and delivery. Collaborate with cross-functional teams including data scientists, business analysts, and IT professionals to deliver comprehensive data solutions. Technical Leadership & Innovation Lead the design, development, and deployment of scalable data architectures, pipelines, and processes tailored to client needs. Stay abreast of industry trends, technologies, and best practices, and implement them in client projects to drive innovation and competitive advantage. Provide technical oversight and guidance to the data engineering team, ensuring the adoption of best practices and high-quality output. Team Leadership & Development Lead, mentor, and manage a team of data engineers, fostering a collaborative and high-performance culture. Provide professional development opportunities, coaching, and career growth support to team members. Ensure the team is equipped with the necessary skills and tools to deliver high-quality consulting services. Data Governance & Quality Assurance Implement and oversee data governance frameworks, ensuring data integrity, security, and compliance across all client projects. Establish and enforce data quality standards, ensuring the reliability and accuracy of data used in client solutions. Business Development & Consulting Support business development efforts by contributing to proposals, presenting solutions to prospective clients, and identifying opportunities for expanding client engagements. Provide thought leadership in data engineering, contributing to white papers, webinars, and conferences to enhance the company’s reputation in the industry Skills: agile methodologies,business development,data governance,team leadership,client engagement,data architect,communication,data governance & quality assurance,project management,problem-solving,data provisioning,data processing,collaboration,data engineering,project management methodologies,data architecture,data integration,data quality Show more Show less
