Senior Data Engineer, Data & AI Engineering

ROLE AND RESPONSIBILITIES:

• Would be an individual contributor responsible for developing data products & solutions for the organization.

• 3+ years of overall in IT with experience in Data warehouse, ETL, BI projects is desired.

• 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

• 3-7 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

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.