• Us Citizen

• Green Card

• EAD (OPT/CPT/GC/H4)

• Corp-Corp

• Consulting/Contract

• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 1st Mar 2021

Responsibilities:

Capture business requirements for analytics and translate complex ones into technical requirements.

Collaborate with teams to design & implement end-to-end solutions

Design and build well-engineered data systems and services to support data analytics using

AWS cloud services and Snowflake DWH.

Implement data pipelines and modern ways of automating ELT data pipelines using

orchestration tools.

Own data model and test the data produced in order to ensure it is of high quality.

Be part of discussions with product managers and analysts in order to guide them in their understanding of the data in the data lake, shape the product solutions and to better grasp

the context of requirements coming your way.

Use SQL queries to transform data in our data lake in order to move it from raw nuggets into reliable business entities and then into reporting aggregates.

Identify dependencies for these transformations. Schedule these transformations on our platform. Investigate discrepancies in data.

Assure accuracy of data processing and outputs through consistently high software development skills, adherence to best practice, thorough testing, and peer reviews.

Provide production support for Data Warehouse issues such as data load problems, transformation translation discrepancies.

Lead some refactoring of our data warehouse where needed, in order to make data more consistent, better documented and the pipelines more resource-efficient.

Documents analytics datasets and any business logic Habitually approach problem solving with creativity and resourcefulness; carefully evaluate risks and determine correct courses of action when completing tasks.

Experience and Skill requirements:

Bachelor’s Degree in Computer Science Engineering, Math or closely related discipline.

5+ years, demonstrable, hands-on professional software development skills using Java or Python.

Demonstrable professional experience designing, building, and maintaining data systems and processes using cloud-based platforms such as GCP, AWS, including working

Knowledge in Unix/Linux OS, shell scripting, and tools.

A solid experience and understanding of architecting, designing, and operationalization of large-scale data and analytics solutions on Cloud Data Warehouse such as Snowflake, Google BigQuery, or AWS Redshift is a must.

Expertise in using AWS cloud-based systems and services to acquire and deliver data.

Excellent SQL knowledge and hands-on experience with the ability to create efficient data models (applied to data warehousing in particular) Experienced in CI/CD practices including unit testing, automation testing, data migration, code quality, performance, and integration/systems testing.

Excellent verbal and written communications skills with the ability to clearly present ideas, concepts, and solutions.

Demonstrated willingness and ability to effectively work with various team members when gathering requirements, delivering solutions, and eliciting suggestions and feedback.

Extremely quick learner both in terms of new technical skills and acquiring domain knowledge.