Senior Data Engineer, Data & AI Engineering
Pretium Enterprise Services, India Bengaluru, Karnataka, India
Financial Services · 501-1,000 employees
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About the role
The individual contributor will develop data products and solutions while collaborating within Agile teams to design, implement, and support BI and analytics systems. Responsibilities include maintaining data security and privacy while managing data migration and performance optimization.
What they look for
Requirements
Candidates must have 3-7 years of experience in data engineering with proficiency in Snowflake, SQL, and cloud data warehousing. A bachelor's degree in engineering is required, and experience with Python, AWS, and BI tools is preferred.
Full description
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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