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Popular mid-level data engineer role, Bangalore metro, broad skills, and recognizable brand increase competition.
Core data engineering skills are transferable across industries, though cloud and DBT favor domain experience.
Explicit 5+ years requirement plus mandatory data engineering tools and cloud skills increases strictness.
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Design and build robust data solutions and pipelines for analytics within a global data engineering team.
Collaborate with business stakeholders to prioritize projects aligned with organizational objectives and contribute across all stages of data engineering project delivery.
Establish and promote good data engineering practices, efficient workflows, clear documentation, and support improvements in data quality, reliability, lineage, and governance.
5+ years of relevant experience in data engineering or related fields.
Proficiency in programming languages such as Python, SQL, and DBT.
Experience with at least one major cloud platform (AWS, GCP, or Azure).
Bachelor’s, Master’s, or PhD degree in Computer Science, Information Technology, Engineering, or a related discipline.
Experienced in steering data engineering initiatives and influencing data-driven projects in a global environment.
Skilled in optimizing data pipelines and contributing to technical design reviews with constructive feedback.
Comfortable working with CI/CD and DataOps practices and supporting continuous improvement in a collaborative team environment.