Chubb Hiring Drive 2024: Chubb Hiring Drive 2024 for its Data Engineer – I. Chubb Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a Graduate. if you are interested, please apply as soon as possible.
Company Name: Chubb
Role: Data Engineer – I
Location: Bengaluru
Experience: 0 – 3 years
Qualification: Graduate
Batch: Any
Job Type: Full Time
Salary: 12.5 LPA (Expected)
Chubb Hiring Drive 2024
Job Description:
- A data engineer generally works on implementing complex big data projects with a focus on collecting, parsing, managing, analyzing and visualizing large sets of data to turn information into insights using multiple platforms.
- He or she should be able to decide on the needed hardware and software design needs and act according to the decisions.
- The big data engineer should be able to develop prototypes and proof of concepts for the selected solutions.
- Ideal candidate for this role is someone with a strong background in computer programming, statistics, and data science who is eager to tackle problems with large, complex datasets using the latest Python , R, and/or PySpark .
- You are a self-starter who will take ownership of your projects and deliver high-quality data-driven analytics solutions.
- You are adept at solving diverse business problems by utilizing a variety of different tools, strategies, algorithms and programming languages.
Requirements:
- Mid to advanced level knowledge of Python and Pyspark is an absolute must.
- Knowledge of Azure, Hadooop 2.0 ecosystems, HDFS, MapReduce, Hive, Pig, sqoop, Mahout, Spark etc. a must
- Significant programming experience (with above technologies as well as Java, R and Python on Linux) a must
- Experience with Web Scraping frameworks (Scrapy or Beautiful Soup or similar)
- Extensive experience working with Data APIs (W orking with RESTful endpoints and/or SOAP)
- Knowledge of any commercial distribution like HortonWorks, Cloudera, MapR etc. a must
- Excellent working knowledge of relational databases, MySQL, Oracle etc.
- Experience with Complex Data Parsing (Big Data Parser) a must. Should have worked on XML, JSON and other custom Complex Data Parsing formats
- Natural Language Processing (NLP) skills with experience in Apache Solr, Python a plus
- Knowledge of High-Speed Data Ingestion, Real-Time Data Collection and Streaming is a plus
Responsibility:
- Utilize the data engineering skills within and outside of the developing Chubb information ecosystem for discovery, analytics and data management
- Work with data science team to deploy Machine Learning Models
- You will be using Data wrangling techniques converting one “raw” form into another including data visualization, data aggregation, training a statistical model etc.
- Work with various relational and non-relational data sources with the target being Azure based SQL Data Warehouse & Cosmos DB repositories
- Clean, unify and organize messy and complex data sets for easy access and analysis
- Create different levels of abstractions of data depending on analytics needs
- Hands on data preparation activities using the Azure technology stack especially Azure Databricks is strongly preferred
- Implement discovery solutions for high speed data ingestion
Work closely with the Data Science team to perform complex analytics and data preparation tasks - Work with the MLops/Technology on the team to develop APIs
- Sourcing data from multiple applications, profiling, cleansing and conforming to create master data sets for analytics use
- Utilize state of the art methods for data manning especially unstructured data
Experience with Complex Data Parsing (Big Data Parser) and Natural Language Processing (NLP) Transforms on Azure a plus - Design solutions for managing highly complex business rules within the Azure ecosystem
- Performance tune data loads
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