Job Description:
Experience: 5-8 Years
NP - Immediate joiners/30 Days
Location – Gurgaon
Qualification: Bachelor’s degree in Computer Science, Computer Engineering (BCA/BE).
Grade : DVP
Department : IT- Solutions Technology.
JD
A. Position Purpose: - We are looking for a Data Engineer 2-4 years of experience He/She would also support consulting engagement and should be able to articulate and architect the solution effectively to bring-in the values which data analytics streaming & visualization
The selected candidate :
Need to have 3-5years of relevant techno functional exposure to the various aspects of data analytics Data Analytics solutioning- Hands-on experience in understanding, designing and developing analytics solution based on business requirements.
Experience with flat file data manipulation using Unix/Linux shell scripting ETL process knowledge on Azure Database Architecture and Design – Exposure or knowledge in database design concepts and functional architecture.
Requirements Analysis and Solution Architecture Design.
Data modelling and data architecture design.
ETL, data integration and data migration design.
Master data management system and process design and implementation.
Data quality system and process design.
Qualifications and skills requirement: -
Bachelor’s degree in Computer Science, Computer Engineering (BCA/BE).
Certification in Data and Analytics / Data streaming
Essential: Scripting: Hands on Unix Shell Scripting / Python : 2 Years (Preferred)
Cloud MS Azure: working experience in ADF, Azure Databricks,T-SQL ,SSIS, Azure Data Lake
Store, Azure Power Shell scripting , Azure Analysis Services, Databricks, Data modelling and
ETL : Pentaho Development : 3 Years (Preferred)
Kafka / Azure Event hub: 2 years (Preferred)
TSQL: 3 years (Preferred)
Data visualization : Power BI
Skills: - Good programming skills in Python Strong working knowledge of Python’s
numerical, data analysis, or AI frameworks such as NumPy, Pandas, Scikit- learn, Jupyter, etc.
Skill:
Unix Shell Scripting / Python, Cloud MS Azure, ADF, Azure Databricks,T-SQL ,SSIS, Azure Data Lake
