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

  • company name Quess Corp Limited
  • working location Office Location
  • job type Full Time

Industry Type - Banking / Financial Services

Category: Devops

Experience: 5 - 11 years required

Pay: INR 3000000 - INR 4000000 /year

Type: Full Time

Location: Gurgaon,Noida

Skills: Amazon Web Services (AWS), Client Interaction, Google Cloud Platform (GCP), Java, Microsoft Azure, SQL, Team Building, Team Leadership

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