Job Description

Our Enterprise Data & Analytics (EDA) is looking for an experienced Senior Data Engineer to join our growing analytics engineering team. We are a globally distributed remote first team. You’ll work in a collaborative Agile environment using the latest engineering best practices with involvement in all aspects of the software development lifecycle. You will craft and develop curated data products, applying standard architectural & data modeling  practices. You will be primarily developing Data Warehouse Solutions in GCP BigQuery using technologies such as dbt, Airflow, Cloud Functions, gke, Terraform.

What you will be doing:

• Collaborate with team members and business partners to collect business requirements, define successful analytics outcomes and design data models

• Use and mentor on the best engineering practices such as version control system, CI/CD, code review, pair programming

• Design, build, and maintain ELT pipelines in Enterprise Data Warehouse to ensure reliable business reporting

• Design & build ELT based data models using SQL & DBT

• Build analytics solutions that provide practical insights into customer 360, finance, product, sales and other key business domains

• 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 

What you bring to the role:

Basic Qualifications

• 5+ years of data / analytics engineering experience building, working & maintaining data pipelines & ETL processes on big data environments

• Production experience working with DBT and designing and implementing Data Warehouse solutions

• Good Knowledge in modern as well as classic Data Modeling - Kimball, Innmon, etc 

• Intermediate experience with any of the programming language: Python, Go, Java, Scala, we use primarily Python

• Advanced working SQL knowledge and experience working with Cloud columnar databases (Google BigQuery, Amazon Redshift, Snowflake), query authoring (SQL) as well as working familiarity with a variety of databases

• Integration with 3rd party API SaaS applications like Salesforce, Zuora, etc

• Familiarity with processes supporting data transformation, data structures, metadata, dependency and workload management

• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.

Preferred Qualifications

• Extensive experience with BigQuery or similar cloud warehouses (Snowflake, Redshift)

• Demonstrated experience in one or many business domains

• 3+ completed projects with dbt

• Expert knowledge in Python

What does our data stack looks like:

• ELT (Bigquery, dbt, Airflow, Kafka)

• BI (Tableau, Google Data Studio)

• Infrastructure (GCP, AWS, Kubernetes, Terraform, Github Actions)

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