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Mid-level Data Engineer title, broad skills, and Bangalore location create high candidate competition.
Data engineering skills transfer broadly, though device telemetry and engineering-metrics favor industry-specific backgrounds.
Explicit 3+ years requirement plus cloud and data stack preferences moderately tighten shortlisting.
Design, implement, and maintain scalable data pipelines and data lake architectures integrating diverse data sources including software development tools and connected devices.
Develop and maintain data models, dashboards, and reporting solutions to provide actionable engineering, product, and business insights.
Ensure data quality, reliability, governance, and operational monitoring while collaborating with cross-functional global teams for data-driven decision making.
Bachelor's or Master's degree in Computer Science, Software Engineering, Data Engineering, or related field, or equivalent practical experience.
3+ years of experience in Data Engineering, Software Engineering, Analytics Engineering, or related technical role.
Proficient in SQL and at least one modern programming language such as Python, C#, or JavaScript/TypeScript.
Experience with data pipelines, ETL/ELT, data warehousing, and cloud-based data platforms.
Experienced data engineer comfortable working with software engineering process data (source control, CI/CD, releases, telemetry).
Skilled at translating stakeholder data requirements into scalable, high-quality technical data solutions supporting analytics and machine learning.
Capable of operating effectively in distributed, cross-functional global teams with some India to US/EU timezone overlap.