Senior Data Engineer - Data Mining & Wrangling

Key Responsibilities :- Understand the factories , manufacturing process , data availability and avenues for improvement- Brainstorm , together with engineering, manufacturing and quality problems that can be solved using the acquired data in the data lake platform.- Define what data is required to create a solution and work with connectivity engineers , 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 , help engineering, process and quality to understand the process/ machine behavior more closely using available data- Deploy and monitor the solution- Work with data and analytics experts to strive for greater functionality in our data systems.- Work together with Data Architects and data modeling teams. Skills /Competencies :- 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.- 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 the problem 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 the 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 the data in simple and meaningful manner Data Engineering Skills :- Strong skill in data analysis techniques to generate finding and insights by means of exploratory data analysis- Good understanding of how to transform and connect the data of various types and form- Great numerical and analytical skills- Identify opportunities for data acquisition- Explore ways to enhance data quality and reliability- Build algorithms and prototypes- Reformulating existing frameworks to optimize their functioning.- Good understanding of optimization techniques to make the system performant for requirements.