86 applicants

Company

Codebase Inc · 6 hours ago

Data Specialist

United States

Contract

Remote

Senior Level, Lead/Staff

10+ years exp

Maximize your interview chances

IT Services and IT Consulting

Growth Opportunities

Hiring Manager

Rahul Reddy

Insider Connection @Codebase Inc

Discover valuable connections within the company who might provide insights and potential referrals.
Get 3x more responses when you reach out via email instead of LinkedIn.

Responsibilities

Write effective, scalable code in Python.

Hands on experience with Python - Pandas library in detail & Numpy.

Advanced SQL skills are mandatory.

Ability to write complex SQL queries to query large amounts of data Hands on DBT development experience.

Design, develop, and maintain DBT models, transformations, and SQL code to build efficient data pipelines for analytics and reporting.

Mandatory hands-on coding experience in Unix Shell scripting.

Develop back-end components to improve responsiveness and overall performance.

Hands-on-experience in designing and building data pipelines in data analytics implementations such as Data Lake and Data Warehouse and development.

Salesforce CDP knowledge and Snowflake implementation will be a plus.

Integrate user-facing elements into applications

Writing Snowflake SQL queries against Snowflake Developing scripts like Unix, Python, etc. to do Extract, Load, and Transform data.

Good to have working experience with Airflow.

Good to have exposure to AWS eco systems.

Test and debug programs, Improve functionality of existing systems.

Implement security and data protection solutions

Coordinate with internal teams to understand user requirements and provide technical solutions

Support QA, UAT and performance testing phases of the development cycle.

Understand and incorporate the required security framework in the developed data model and ETL objects.

Define standards and procedures; refine methods and techniques for data extraction, transformation and loading (ETL) both in batch and “near real time” modes.

Design Data Integration, Data Warehousing, Analytics, Reporting & Data science strategies.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

PythonSQLDBTUnix Shell scriptingSnowflakePandasNumpyData pipelinesETLSalesforce CDPAirflowAWS

Required

10 plus years of overall IT experience.

Strong Python experiences mandatory.

Write effective, scalable code in Python.

Hands on experience with Python - Pandas library in detail & Numpy.

Advanced SQL skills are mandatory.

Ability to write complex SQL queries to query large amounts of data.

Hands on DBT development experience.

Design, develop, and maintain DBT models, transformations, and SQL code to build efficient data pipelines for analytics and reporting.

Mandatory hands-on coding experience in Unix Shell scripting.

Develop back-end components to improve responsiveness and overall performance.

Hands-on-experience in designing and building data pipelines in data analytics implementations such as Data Lake and Data Warehouse and development.

Integrate user-facing elements into applications.

Writing Snowflake SQL queries against Snowflake.

Developing scripts like Unix, Python, etc. to do Extract, Load, and Transform data.

Test and debug programs, Improve functionality of existing systems.

Implement security and data protection solutions.

Coordinate with internal teams to understand user requirements and provide technical solutions.

Support QA, UAT and performance testing phases of the development cycle.

Understand and incorporate the required security framework in the developed data model and ETL objects.

Define standards and procedures; refine methods and techniques for data extraction, transformation and loading (ETL) both in batch and 'near real time' modes.

Design Data Integration, Data Warehousing, Analytics, Reporting & Data science strategies.