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Senior Data Engineer, Data & AI Engineering

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Onsite

Senior Data Engineer, Data & AI Engineering

Pretium Property Management, LLC

Senior Data Engineer, Data & AI Engineering

Skills

SQL QueriesLookerMongoDBData EngineeringPythonPostgreSQLSnowflakeData AnalysisMachine LearningAIAWSdbtLinuxWorkdayPySparkPower BI

2 months ago

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Important information


Contract type:

Permanent

Location:

Karnataka, India

Work mode:

Onsite

Published on:

1 September 2026

What they need


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

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