Senior Data Warehousing Engineer

5 days ago

india GAIUS HYPERLOCAL PRIVATE LIMITED Full time

Responsibilities :


- Drive analysis, architecture, design, and development of Cloud based data warehouse and business intelligence solutions.


- Design and develop data flows and models for data warehousing and self-serve reporting.


- Design and build extensible data acquisition and integration solutions to meet business reporting and analytics needs.


- Implement a comprehensive framework to support logging, profile and audit high volume high frequency file processing supporting multiple formats.


- Automate and optimize existing data processing workloads to integrate with the enterprise data warehouse.


- Understand and translate business needs into data models to support long-term, scalable, and reliable solutions.


- Create data models for self-serve reporting.


- Build data pipelines from systems such as CRM, ERP and internal applications with the emphasis on scalability and reliability.


- Partner with business users, senior architects, and infrastructure engineers to form complete end-to end-solutions.


- Drive data quality across the organization; develop best practices for standard naming conventions and coding practices to ensure consistency of data models and tracking.


- Prepare to respond to ad hoc reporting needs of business functions.


- Work in a fast-paced environment and perform effectively in a sprint based agile development environment.


- Collaborate with developers and analysts on technical and functional designs.


- Analyze query performance and perform query tuning to assist development engineers in designing and optimizing queries.


- Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.


Qualifications :


- Bachelor's degree in computers Ince or related field.


- At least 8 year of overall experience building data warehouse solutions with solid data modeling skills.


- At least 3 years of hands-on experience in building Data Warehouses in Snowflake or Redshift


- At least 4 years of experience in developing data pipelines using Python, PySpark or Scala.


- Experience with API design and development using RESTful and/or SOAP protocols.


- At least 2 years of experience creating DBT models and in a cloud, data Warehouses platform.


- Knowledge of advanced SQL scripting and ability to write complex queries.


- Experience using Rivery or new age ELT tools like Fivetran, Matillion etc.


- Understanding of agile methodologies such as CI/CD, Applicant Resiliency, and Security


- Experience working with various file formats at scale.


- Experience with AWS. Familiarity with AWS Athena, Glue, Data Pipeline is a plus.


- At least 2 years of experience with Salesforce Health Cloud, Marketing Cloud and NetSuite Schemas.


- Experience designing highly scalable ETL/ELT processes with complex data transformations, data formats including error handling and monitoring.


- Excellent analytical, problem solving, and troubleshooting skills, and solid communication skills.

(ref:hirist.tech)

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