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Data analyst (ETL Pipeline)
Leading consulting firm
Data analyst (ETL Pipeline)
Leading consulting firm's logo

Data analyst (ETL Pipeline)

at Leading consulting firm

3 - 10 yrs
Best in industry
Bengaluru (Bangalore), Gurugram
Skills
ETL
Informatica
Data Warehouse (DWH)
SKILLS:
 python, sql, etl (building etl pipelines)

EXPERIENCE : 3 to10     

LOCATION: Bangalore and Gurugram

COMPANY DESCRIPTION:
This Company is a global management consulting firm. We are the trusted advisor to the world's leading businesses, governments, and institutions. We work with leading organizations across the private, public and social sectors. Our scale, scope, and knowledge allow us to address problems that no one else can.
 
REQUIREMENTS:
  • Bachelor’s degree in Engineering or Computer Science; Master’s degree is a plus
  • 3+ years of professional work experience with a reputed analytics firm
  • Expertise in handling large amount of data through Python
  • Conduct data assessment, perform data quality checks and transform data using SQL and ETL  tools
  • Experience of deploying ETL / data pipelines and workflows in cloud techhnologies and architecture such as Azure and Amazon Web Services will be valued
  • Comfort with data modelling principles (e.g. database structure, entity relationships, UID etc.)and software development principles (e.g. modularization, testing, refactoring, etc.)
  • A thoughtful and comfortable communicator (verbal and written) with the ability to facilitate discussions and conduct training
  • Track record of strong problemsolving, requirement gathering, and leading by example
  • Ability to thrive in a flexible and collaborative environment
  • Track record of completing projects successfully on time, within budget and as per scope 
Read more
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Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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