Data Engineering Expert for Manufacturing Optimization
5 days ago
Overview
Mindteck is a growth-oriented company seeking an experienced Data Engineer to join our team. As a Senior Data Engineer, you will play a crucial role in optimizing manufacturing processes by leveraging big data tools and technologies.
About the Role
We are looking for a highly skilled Data Engineer with expertise in Spark 3.X, Scala, Delta Lake implementation, and streaming solution implementation for IoT in Spark streaming. Your primary responsibilities will include understanding factories, manufacturing processes, data availability, and avenues for improvement. You will brainstorm with engineering, manufacturing, and quality teams to identify problems that can be solved using acquired data in the data lake platform.
Key Responsibilities
- Define what data is required to create a solution and work with connectivity engineers and users to collect the data.
- Create and maintain optimal data pipeline architecture.
- Assemble 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 teams understand process/machine behavior more closely using available data.
- Deploy and monitor solutions.
- Collaborate with data and analytics experts to strive for greater functionality in data systems.
Skills and Qualifications
- Strong 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 use cases aimed at improving manufacturing processes.
- Problem scoping/definition skills.
- Experience in problem scoping, solving, quantification.
- Strong analytic skills related to working with unstructured datasets.
- Build processes supporting data transformation, data structures, metadata, dependency, and workload management.
- Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores.
- Ability to foresee and identify all right data required to solve problems.
- Data wrangling skills: strong skill in data mining, data wrangling techniques for creating the required analytical dataset.
- Experience building and optimizing 'big data' data pipelines, architectures, and data sets.
- Adaptive mindset to improvise on data challenges and employ techniques to drive desired outcomes.
- Programming skills: experience with big data tools: Spark, Delta, CDC, NiFi, Kafka, etc.
- Experience with relational SQL, NoSQL databases, and query languages, including Oracle, Hive, SparkQL.
- Experience with object-oriented languages: Scala, Java, C++ etc.
- Visualization skills: know-how of any visualization tools such as PowerBI, Tableau.
- Good storytelling skills to present data in simple and meaningful manner.
- Data engineering skills: strong skill in data analysis techniques to generate findings and insights by means of exploratory data analysis.
- Good understanding of how to transform and connect data of various types and forms.
- Great numerical and analytical skills.
- Identify opportunities for data acquisition.
- Explore ways to enhance data quality and reliability.
- Build algorithms and prototypes.
- Reformulate existing frameworks to optimize their functioning.
- Good understanding of optimization techniques to make the system performant for requirements.
Benefits
Mindteck offers a competitive salary range of INR 24-28 LPA, along with excellent benefits and opportunities for growth and development. We are committed to providing a healthy work-life balance and promoting a culture of innovation and excellence.
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