Data Engineering Lead

5 days ago


Delhi, Delhi, India Mindteck Full time
About the Role

We are seeking a highly skilled Data Engineering Lead to join our team in India. As a key member of our data engineering group, you will be responsible for designing and implementing large-scale data pipelines and architectures to support our manufacturing solutions.

Responsibilities
  • Design and implement optimal data pipeline architecture
  • Create and maintain large, complex data sets that meet functional/non-functional business requirements
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery for greater scalability
  • Work on data preparation, data deep dive, and help engineering, process, and quality to understand process/machine behavior more closely using available data
  • Deploy and monitor the solution
Requirements
  • Good knowledge of the business vertical with prior experience in solving different use cases in the manufacturing or similar industry
  • Ability to bring cross-industry learning to benefit the use cases aimed at improving manufacturing process
  • Problem scoping/definition skills: experience in problem scoping, solving, quantification
  • Strong analytic skills related to working with unstructured datasets
Preferred Skills
  • Programming skills: experience with big data tools (Spark, Delta, CDC, NiFi, Kafka), relational SQL, NoSQL databases, and query languages (Oracle, Hive, SparkQL)
  • Object-oriented languages (Scala, Java, C++)
  • Visualization skills: knowledge of visualization tools (PowerBI, Tableau)
Benefits

We offer a competitive salary of INR 24-28 LPA and a great work-life balance. Our company culture is built on the values of 'We Care,' and we strive to provide a healthy and supportive environment for our employees.

About Mindteck

Mindteck is a growth-oriented company with offices in India, UK & Europe, US & Canada, Singapore & Malaysia, and the Middle East. We have been appraised at Maturity Level 5, Version 1.3 of the CMMI Institute's Capability Maturity Model Integration (CMMI). We are an Equal Employment Opportunity (EEO) employer and welcome applications from qualified candidates.



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