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Popular mid-level Data Engineer in Bangalore with hybrid work and broad Databricks/SQL requirements attracts many applicants.
Requires platform-specific Databricks and consulting experience, moderately limiting cross-industry transferability.
Explicit 5+ years requirement plus mandatory Databricks, data governance, and SQL skills enforce strict shortlisting.
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Own the design and delivery of scalable data solutions aligned with business requirements and strategies.
Collaborate with stakeholders and technical teams to ensure data quality, governance, and business process optimization.
Provide consultative guidance on data strategy, architecture, and data-driven innovations to drive measurable business outcomes.
5+ years of relevant experience in data consulting, analysis, or engineering.
Bachelor's or master's degree in Computer Science, Engineering, Applied Mathematics, or related quantitative field.
Strong experience with Fabrics and Databricks environments.
Proficiency in SQL databases and strong understanding of data management, modeling, and lifecycle concepts.
Experienced working at the intersection of business and technology in data-centric roles, able to translate complex data concepts into business insights.
Skilled in stakeholder engagement and data governance within a collaborative global environment.
Familiar with advanced data platforms, cloud technologies (e.g., AWS), and modern data architectures, preferably in financial services or similar sectors.