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Strong brand, mid-level generalist role, metro location and hybrid work create high applicant competition.
Data engineering skills are transferable across industries but Azure/Databricks specialization raises domain sensitivity to medium.
Explicit 5–7 years plus required Azure/Databricks skills and consulting delivery experience create high shortlisting strictness.
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Design, develop, and deploy scalable cloud data solutions on Microsoft Azure using data pipelines, ETL/ELT workflows, Azure Data Factory, and Databricks.
Lead technical delivery of cloud projects ensuring compliance with architecture standards, performance, security, and reliability.
Provide technical guidance including code reviews, performance tuning, automation through CI/CD and DevOps, and mentoring junior engineers.
5-7 years of experience in cloud/data engineering with strong hands-on expertise in Microsoft Azure ecosystem, Python/SQL, and distributed data processing frameworks.
Undergraduate degree: B.Tech/B.E. in any specialization.
Work Location: Mumbai, hybrid working mode.
Not explicitly mentioned: mandatory certifications, notice period, or specific onsite requirements beyond hybrid work.
Experienced in leading technical delivery and collaborating with stakeholders to translate business requirements into technical designs.
Skilled in Azure cloud data engineering tools and in driving automation using CI/CD and DevOps practices.
Capable of mentoring peers and maintaining clear documentation and process governance.