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Lead Engineer, Data & AI Engineering

Job Description - Lead Engineer, Data & AI Engineering

ROLE AND RESPONSIBILITIES

  • Would be a lead responsible for developing data products & solutions for the organization.
  • 7+ years of overall in IT with experience in Data warehouse, ETL, BI projects is required.
  • Would collaborate within Agile teams to design, develop, test, implement Data, BI & Analytics solutions.
  • Must have experience with development & implementation of Cloud Data Warehouse like Snowflake, Redshift etc.
  • Must have experience writing complex SQL stored procedures and conducting performance tuning/optimization.
  • Expertise in Snowflake Data Modelling, ELT using dbt SQL / Snowflake SQL, Informatica, Fivetran.
  • Experience in Data Migration from RDBMS, S3 to Snowflake cloud data warehouse is needed.
  • Designing, building, installing, configuring, and supporting data solutions maintaining security and data privacy.
  • Experience in cloud technologies like AWS would be preferred.
  • Knowledge in Python, Pyspark, SQL Server, PostgreSQL, MongoDB, and AWS S3 would be preferred.
  • Experience working in UNIX/Linux environment.
  • Experience with ML/AI technologies would be preferred.
  • Experience with a BI Tools (PowerBI, Looker, Hyperion) would be preferred.

QUALIFICATIONS AND TECHNICAL SKILLSETS:

  • Bachelor’s Degree of Engineering 
  • 7-12 years of experience in Data Engineering and Data & BI solution development. •Snowflake Certified Professional would be preferred. 

NOTES: 

  • Prefer candidates already residing in Bangalore. 
  • Standard Shift Timing is 12noon to 9pm, however this may vary depending on the business requirements. 
  • •Currently work from home, should report to office after we reopen.
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