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Strong employer brand, metro Bangalore location, and common Data Engineer role increase candidate competition.
Core data engineering skills are transferable, but client-facing consultancy leadership raises fit specificity.
Requires deep data engineering expertise, leadership, and production distributed-systems experience, enforcing strict candidate filtering.
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Lead and manage end-to-end data engineering projects including goal-setting, scope definition, and on-time delivery with cross-team collaboration.
Design, develop, and operate modern data architectures and intricate data processing pipelines to meet key business objectives.
Collaborate with stakeholders and data scientists to integrate strategic objectives, scalable model implementations, and maintain data governance, security, and quality.
Experience leading system design and implementation of data engineering solutions in production environments.
Proven expertise building and deploying large-scale data pipelines using distributed storage and processing platforms.
Strong knowledge of data modeling, modern data engineering tools, and multiple database types (SQL, NoSQL, data lakes).
Work Experience Required: Not explicitly mentioned in the JD.
Experienced leader capable of managing complex data engineering projects and aligning technical solutions with client business objectives.
Skilled in stakeholder management, able to liaise effectively between clients and technical teams to ensure trust and buy-in.
Comfortable navigating ambiguity and challenges, with demonstrated coaching and mentoring abilities to inspire technical excellence and accountability.