Senior Data Warehousing Engineer

2 weeks ago

Anywhere in IndiaMultiple Locations 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.

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