Senior Data Engineer & Technical Lead to bridge the gap between business needs, system architecture, and dependable execution.In this role, the resource will own end-to-end solution design, ensure the reliability and quality of our data platforms, and lead a small, agile team of developers.
Solution Design & Development: Design and implement scalable, robust data architectures using Data bricks , pyspark and SQLRequirements Engineering: Analyze complex business requirements and translate them into precise technical specifications.Reliability & Quality Management: Use software engineering methods to solve infrastructure and operations problems. Build stable, automated, and repeatable deployment pipelines; establish monitoring and testing standards, and guarantee data quality.Team Leadership & Backlog Management: Lead a small development team, structure and prioritize the backlog, and drive sprint planning.Stakeholder Communication: Collaborate closely with cross-functional teams and communicate complex technical concepts clearly to non-technical stakeholders.
Qualifications & SkillsProfessional Experience: 8+ years of experience and Multi-year track record in data engineeringTechnical Stack: Strong proficiency in modern data technologies - Azure databricks , Pyspark ,Python, SQL and cloud platforms (AWS/Azure/GCP), and CI/CD pipelines.Methodological Expertise: Proven experience in requirements engineering and agile methodologies (Scrum/Kanban).Leadership Skills: Experience leading developer teams and managing backlogs (e.g., in Jira or Azure DevOps).Soft Skills: Excellent communication skills, strong organizational abilities, and a solution-oriented mindset.
Source: HCLTech careers — Read the original posting and apply
This role is listed by the employer on its own careers site. Kaam Ki Khoj does not process applications for it.
Upload your CV once — we read it, build your profile and put you in front of every employer hiring on Kaam Ki Khoj. No forms, no fees.