Manager / Sr Manager - Data Engineer For The Smart Cube Quess Corp Limited

About Quess Corp Limited

Established in 2007 and headquartered in Bengaluru, Quess is one of India’s largest private-sector employers and integrated business service providers. The company has a presence in over 64 locations across India, Southeast Asia, and North America, with a strength of 500,000+ employees.
They provide a host of technology-enabled staffing and managed outsourcing services across processes such as sales & marketing, customer care, after-sales service, back-office operations, manufacturing operations, facilities and security management, HR & F&A operations, IT & mobility services, etc.

Job Description

Role :- Manager / Sr Manager Data Engineer
Location:- Noida / Gurgaon
Experience :- 5-11 Years
Salary range accoding to experince range:- 
-Manager
6 to 8years:- 6years 25lpa 7.5years to 8Years- 30lpa
-Sr manager
8 to 11years:- 40 LAkhs

Candidates has to add their project details in resume (Deep learning,NLP,python ) mandatory 
Data Eng-Azure,aws,pyspark,spark,python,java ,clould based skills - mandatory
Candidates has to add their project details in resume
Notice period :- No 90days notice even its negotiable

Mandatory skills :-
-Python as standalone technology
-SQL
-Pyspark
-AWS/ Azure
-Client management
-Team handling exp

Job Description – Manager – Data Engineer

What job we expect you to do:
- Connecting, designing, scheduling, and deploying data warehouse systems
- Developing data pipelines and enable dash boards for stakeholders and
- Develop, construct, test and maintain system architectures
- Create best practices for data loading and extraction
- Doing quick POCs for any data eccentric development task

What skills we expect you to bring:
- Strong programing skills, being well versed in Object-Oriented Programming system (OOPS), data structures, and algorithms
- Should be comfortable in executing ETL (Extract, Transform and Load) processes which include data ingestion, data cleaning and curation into a data warehouse, database, or data platform
- Should be comfortable with schema designing
- Experience in distributed computing environment
- Experience in structured/unstructured data and batch processing/real-time processing (good to have)
- Be comfortable with SQL (mandatory), Python(mandatory), Scala (good to have) to manipulate and prepare data and conduct various analysis as needed
- Reading\writing data to\from various sources - APIs, cloud storage, databases, big data platforms
- Experience of working with Big Data environment such as Hadoop and the ecosystem
- Data transformations and applying ML models
- Creating web services to allow create, read, update and delete (CRUD) operations
- Competent in project management framework such as Agile
- Excellent communication skills, both written and verbal

What expertise will bring added advantage?
- Machine learning
- Statistical Modelling
- Natural Language Processing