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Job Location: Pune, Gurgaon/Gurugram, Chennai
Role:- Data Engineer
Experience:- 4 to 6 Years
Location:- Gurgaon/ Chennai & Pune (Remote)
Primary Skills: Python coding, AWS(Glue, Lambda), Pyspark & SQL
Key Responsibilities and skills
Experience
1) Data/data model and data analysis.
2) The resource should have 4-6 years of experience in python as programming language and has executed end to end projects preferably Travel domain projects.
3) In-depth understanding of SQL & Python Programming, PySpark skills
4) The resource should have good understanding of SQL.
5) Created Documents and owns activities like Impact Analysis, Unit Test Plan6
6) Understands the Business Requirements & Functional Specifications for translation into
Technical Specifications
Communicate directly with Client in wake of any information or issues
Expertise in Datawarehousing and proficiency in OLTP/OLAP design and data modeling
Works on complete end to end life cycle of ETL Frameworks, Quality & Data Masking Frameworks
Proficient in data modelling and feed delivery
Must have strong understanding of data architecture, data integration, data management processes and an ability to mentor/coach team members with varying levels of experience.
Experience leading and developing data integration solutions using synchronous and asynchronous messaging, publish/subscribe models, micro services, and ETL/ELT patterns.
Able to tune performance for ETL Processes
Demonstrated experience with databases like Teradata/DB2/Oracle/SQL Server
Experience interacting with Technical and Business stakeholders
Good knowledge of database structures, theories, principles and practices
It is our policy to provide equal employment opportunities to all individuals based on job-related qualifications and ability to perform a job, without regard to age, gender, gender identity, sexual orientation, race, colour, religion, creed, national origin, disability, genetic information, veteran status, citizenship or marital status, and to maintain a non-discriminatory environment free from intimidation, harassment or bias based upon these grounds.
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