Data Engineering Lead for Manufacturing Data Solutions

3 weeks ago


India Mindteck Full time
About the Role

We are seeking an experienced Data Engineering Lead to join our team in India. As a key member of our data engineering team, you will be responsible for designing and implementing scalable data pipelines, working closely with cross-functional teams to deliver high-quality data products.

The ideal candidate will have a strong background in big data tools such as Spark, Delta, and Kafka, and experience with data wrangling techniques to create analytical datasets. They will also possess excellent problem-solving skills, with the ability to analyze complex data sets and develop solutions to improve manufacturing processes.

Key Responsibilities
  • Design and implement optimal data pipeline architectures to support business requirements
  • Collaborate with data architects and data modeling teams to define data structures and metadata
  • Analyze large data sets to identify trends and areas for improvement
  • Develop and maintain data quality metrics and dashboards to monitor performance
  • Work with data analytics experts to develop predictive models and recommendations for process improvements
Requirements
  • Bachelor's degree in Computer Science or related field
  • Minimum 10+ years of experience in data engineering, with a focus on big data technologies
  • Strong knowledge of Spark, Delta, and Kafka
  • Experience with relational SQL and NoSQL databases
  • Excellent problem-solving skills and attention to detail
Salary and Benefits

We offer a competitive salary of INR 24-28 LPA, depending on experience. Additionally, we provide a comprehensive benefits package, including health insurance, retirement plans, and opportunities for professional growth and development.

Our company culture values diversity, equity, and inclusion, and we strive to create a work environment that is welcoming and supportive of all employees. We are an equal opportunity employer and welcome applications from qualified candidates regardless of their race, gender, religion, or other personal characteristics.



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