Zscaler is hiring for Software Engineer
The job you are looking for is no longer available..- Company Name
- Zscaler
- Company Website
- http://zscaler.com/
- Experience
- 0-3 years
- Job Role
- Associate Data Engineer
- Job Type
-
- Fresher
- Experienced
- Job Location
-
- Bengaluru/Bangalore
- Education
-
- BE/BTech
- Branch
-
- IT
- CS
- Job will expire on
- 18 Jan 2024
Eligibility Criteria
- 0 to 3 years of experience in data warehouse design & development.
- Proficiency in building data pipelines to integrate business applications (salesforce, Netsuite, Google Analytics etc) with Snowflake
- Must have proficiency in data modeling techniques (Dimensional) – able to write structured and efficient queries on large data sets
- Must have hands-on experience in Python to extract data from APIs, build data pipelines.
- Completely proficient in advanced SQL, Python/Snowpark(PySpark)/Scala (any Object Oriented language Concepts), ML libraries.
- Strong hands-on experience in ELT Tools like Matillion, Fivetran, Talend, IDMC (Matillion preferred) , data transformational tool – DBT and in using AWS services like EC2, s3, lambda, glue.
- Knowledge of data visualization tools such as Tableau, and/or Power BI
- Must demonstrate good analytical skills, should be detail-oriented, team-player and must have ability to manage multiple projects simultaneously.
Job Description
- Support the evaluation and implementation of the current and future data applications/technologies to support the evolving Zscaler business needs.
- Collaborate with IT business engagement & applications engineer teams, enterprise data engineering and business data partner teams to identify data source requirements.
- Profile and quantify quality of data sources, develop tools to prepare data and build data pipelines for integrating into Zscaler’s data warehouse in Snowflake.
- Continuously optimize existing data integrations, data models and views while developing new features and capabilities to meet our business partners needs.
- Work with Data Platform Lead to design and implement data management standards and best practices.
- Continue to learn and develop next generation technology/ data capabilities that enhance our data engineering solutions.
- Develop large scale and mission-critical data pipelines using modern cloud and big data architectures.
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