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Mid-level data engineer role at a Tier-1 company in Bangalore with broad requirements increases candidate competition.
Core data engineering skills are highly transferable across industries despite supply-chain context.
Explicit 4-7 years requirement plus specific data engineering tech stack and domain skills increase screening strictness.
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Design and develop secure, high-performance data architectures and pipelines for structured and unstructured data.
Lead data engineering projects including coding, testing, integration, and issue resolution to ensure data integrity and quality.
Collaborate cross-functionally and perform root-cause analysis, implementing automated corrective actions to solve complex business and data quality issues.
Bachelor’s or Graduate Degree in Computer Science, IT, Software Engineering, Statistics, Mathematics, or related discipline or equivalent experience.
4-7 years of work experience in data analytics, data engineering, data modeling, or related field (or advanced degree with 3-5 years experience).
Experience with programming languages such as SQL, Python; knowledge of big data technologies (AWS, Hadoop, Kafka, Spark).
Work Experience Required: 4-7 years (or 3-5 years with advanced degree)
Experienced in leading data engineering projects with end-to-end ownership including architecture design and team collaboration.
Proficient in secure, scalable data pipeline development and applying subject matter expertise to solve complex data quality problems using AI/ML techniques.
Comfortable operating in agile environments and working cross-functionally with multiple teams to deliver high-quality data solutions.