Michelin Off Campus Drive for Sr. Data Engineer in Pune

Michelin is hiring for the post of Sr. Data Engineer in Pune. Candidates who are looking for this opportunity can apply for this position before the last of the application. Check eligibility details and application process given below.

Company Name: Michelin

Job Location: Pune

Job Role: Sr. Data Engineer

Experience: Freshers

Employment Type: Full Time

Selection Type: Online

Educational Qualifications: Any Graduate

Join our Telegram for more IT job updates - Click Here

Job Responsibilities:

• She/He is should be good problem solver and proficient at least in any one of language – Java/Scala/Python.
• She/He should be good in any relational database system along with hands on experience. Added advantage is having experience in NoSQL, Hive etc.
• She/He also contributes to the elaboration of the data policy and the structuring of its life cycle within the regulatory framework in force, in collaboration with the Chief Data Officer.
• Her/His intervention scope center's on application systems in the data management and processing domain, and on platforms such as Big Data, IoT, etc.
• She/He is responsible for overseeing and integrating data of a variety of types originating from these different sources and confirms the quality of the Data entering the Data Lake (she/he receives data, deletes duplicates, etc.).
• Captures the structured and unstructured data produced within different applications or outside the entity
• Integrates the components
• Structures the data (semantics, etc.)
• Maps the available components
• Cleans up the data (deleting duplicates, etc.)
• Validates the data
• Where appropriate, he creates the data repository.

Required Skills:

• Technical expertise related to data.
• Expert in writing Spark code with Python.
• Experience in using Python module like Pandas/NumPy/Sci-kit
• Expert in writing SQL queries.
• Specialist in data coming from a database management system.
• Technical expertise on building ETL data pipeline, extraction from different source like Azure storage, HDFS, Kafka topics, structured and unstructured files, Hive.
• A Data Engineer understands how to apply technologies to solve big data problems and to develop innovative big data solutions. In order to be able to do this, the Data Engineer should have extensive knowledge in different programming or scripting languages [Python]
• Good understanding in streaming (Kafka/Storm/Kinesis)
• Good understanding on Big data components (HDFS, YARN, Map Reduce, Spark, Oozie)
• Good understanding on Azure components (ADF, ADB, ADLS)
• Good understanding Version controlling (Git, GitHub, azure DevOps).
• Competency in Cloud environment is must [preferred, Azure]
• Should have experience in transforming raw/unstructured data to clean data [Data Quality]

Behavioural Skills:

• Planning & Organizing
• Teamwork & Collaboration
• Customer Focus
• Continuous learning
• Ownership attitude
• Problem solving expertise