Senior Data Engineer

* Serve as Data Model subject matter expert and data model spokesperson, demonstrated by the ability to address questions quickly and accurately
* Implement Enterprise Data Warehouse by transforming raw data into schemas and data models
** for various business domains*
* ** using SQL &
*** Design, build, and maintain ELT pipelines in Enterprise Data Warehouse to ensure reliable business reporting using Airflow, Fivetran & dbt
* Optimize data warehousing processes by refining naming conventions, enhancing data modeling, and implementing best practices for data quality testing
* Build analytics solutions that provide practical insights into customer 360, finance, product, sales and other key business domains
* Build and Promote best engineering practices in areas of version control system, CI/CD, code review, pair programming
* Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery
* Work with data and analytics experts to strive for greater functionality in our data systems

Collaborate with team members and business partners to collect business requirements, define successful analytics outcomes and
** design data models**
* ** 5+ years in writing complex SQL queries
*** Intermediate experience with any of the programming language:
Python, Go, Java, Scala, we primarily use Python
* Integration with 3rd party API SaaS applications like Salesforce, Zuora, etc
* Ensure data integrity and accuracy by conducting regular data audits, identifying and resolving data quality issues, and implementing data governance best practices.
* Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
** 5+ years of data engineering
** experience building, working & maintaining data pipelines & ETL processes on big data environments
** 5+ years of experience in Data Modeling and Data Architecture
** in a production environment
** 5+ years of experience with Cloud columnar databases** (We use Snowflake)
** 2+ years of production experience working with
** and designing and implementing Data Warehouse solutions
** Ability to work closely with data scientists, analysts, and other stakeholders to translate business requirements into technical solutions.
** Strong documentation skills for pipeline design and data flow diagrams.
* Hands-on experience with Snowflake data platform, including administration, SQL scripting, and query performance tuning
* Good Knowledge in modern as well as classic Data Modeling - Kimball, Innmon, etc
* Demonstrated experience in one or many business domains (Finance, Sales, Marketing)
* 3+ completed “production-grade” projects with dbt
* Expert knowledge in python
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